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HTML Summary of #92440 A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election
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primary topic: A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election

A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (PDF)
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A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (Other)
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A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (Other)
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A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (Other)
is version of: A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (PDF)
is volatile version of: A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (PDF)
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A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (Other)
is version of: A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (PDF)
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A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (Other)
is version of: A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (PDF)
is volatile version of: A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (PDF)
issmall thumbnail version of: A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (PDF)
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A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election
abstract: The rapid integration of the Internet into our daily lives has led to many benefits but also to a number of new, wide-spread threats such as online hate, trolling, bullying, and generally aggressive behaviours. While research has traditionally explored online hate, in particular, on one platform, the reality is that such hate is a phenomenon that often makes use of multiple online networks. In this article, we seek to advance the discussion into online hate by harnessing a comparative approach, where we make use of various Natural Language Processing (NLP) techniques to computationally analyse hateful content from Reddit and 4chan relating to the 2020 US Presidential Elections. Our findings show how content and posting activity can differ depending on the platform being used. Through this, we provide initial comparison into the platform-specific behaviours of online hate, and how different platforms can serve specific purposes. We further provide several avenues for future research utilising a cross-platform approach so as to gain a more comprehensive understanding of the global hate ecosystem.
author list: authors
status: forthcoming
status: peerReviewed
has version: A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (PDF)
creator: Jason R. C. Nurse
date: 2022-04-15
is part of: repository
subject: H Social Sciences (General)
subject: QA 76 Software, computer programming,
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (PDF)
has document: A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (PDF)
has document: A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

H Social Sciences (General)
type: Concept

QA 76 Software, computer programming,
type: Concept

QA Mathematics (inc Computing science)
type: Concept

T Technology
type: Concept

37th ACM/SIGAPP Symposium On Applied Computing
type: Conference

ACM
type: Organization

Fatima Zahrah
family name: Zahrah
given name: Fatima
type: Person

Michael Goldsmith
family name: Goldsmith
given name: Michael
type: Person

Jason R. C. Nurse
family name: Nurse
given name: Jason R. C.
type: Person
given name: Jason R.C.
name: Jason R.C. Nurse

HTML Summary of #91586 A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification
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primary topic: A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification

A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification (Other)
has part: indexcodes.txt
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A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification (Other)
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A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification (Other)
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A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification (Other)
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A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification (Other)
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A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification
abstract: Remote sensing scene classification plays a critical role in a wide range of real-world applications. Technically, however, scene classification is an extremely challenging task due to the huge complexity in remotely sensed scenes, and the difficulty in acquiring labelled data for model training such as supervised deep learning. To tackle these issues, a novel semi-supervised ensemble framework is proposed here using the self-training hierarchical prototype-based classifier as the base learner for chunk-by-chunk prediction. The framework has the ability to build a powerful ensemble model from both labelled and unlabelled images with minimum supervision. Different feature descriptors are employed in the proposed ensemble framework to offer multiple independent views of images. Thus, the diversity of base learners is guaranteed for ensemble classification. To further increase the overall accuracy, a novel cross-checking strategy was introduced to enable the base learners to exchange pseudo-labelling information during the self-training process, and maximize the correctness of pseudo-labels assigned to unlabelled images. Extensive numerical experiments on popular benchmark remote sensing scenes demonstrated the effectiveness of the proposed ensemble framework, especially where the number of labelled images available is limited. For example, the classification accuracy achieved on the OPTIMAL-31, PatternNet and RSI-CB256 datasets was up to 99.91%, 98. 67% and 99.07% with only 40% of the image sets used as labelled training images, surpassing or at least on par with mainstream benchmark approaches trained with double the number of labelled images.
author list: authors
status: peerReviewed
status: published
volume: 80
has version: A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification (PDF)
creator: Ce Zhang
creator: Jungong Han
creator: Plamen Angelov
creator: Peter Atkinson
creator: Qiang Shen
creator: Xiaowei Gu
date: 2022-04
is part of: repository
is part of: Information Fusion
subject: QA Mathematics (inc Computing science)
has accepted: A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification (PDF)
has document: A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification (PDF)
has document: A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Elsevier
type: Organization

Ce Zhang
family name: Zhang
given name: Ce
type: Person

Jungong Han
family name: Han
given name: Jungong
type: Person

Plamen Angelov
family name: Angelov
given name: Plamen
type: Person

Peter Atkinson
family name: Atkinson
given name: Peter
type: Person

Qiang Shen
family name: Shen
given name: Qiang
type: Person

Xiaowei Gu
family name: Gu
given name: Xiaowei
type: Person

Information Fusion
issn: 15662535
type: Collection

HTML Summary of #93038 PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement
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primary topic: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement

PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
type: Document

PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (Other)
is index codes version of: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
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PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (Other)
is version of: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
is volatile version of: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
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PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (Other)
is version of: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
is volatile version of: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
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PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (Other)
is version of: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
is volatile version of: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
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PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (Other)
is version of: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
is volatile version of: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
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PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement
abstract: The Virtual Machine Placement (VMP) problem is a challenging optimization task that involves the assignment of virtual machines to physical machines in a cloud computing environment. The placement of virtual machines can significantly affect the use of resources in a cluster, with a subsequent impact on operational costs and the environment. In this paper, we present an improved algorithm for VMP, based on Parallel Ant Colony Optimization (PACO), which makes effective use of parallelization techniques and modern processor technologies. We achieve solution qualities that are comparable with or superior to those obtained by other nature-inspired methods, with our parallel implementation obtaining a speed-up of up to 2002x over recent serial algorithms in the literature. This allows us to rapidly find high-quality solutions that are close to the theoretical minimum number of Virtual Machines.
author list: authors
status: peerReviewed
status: published
volume: 129
has version: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
creator: Giovanni Masala
date: 2022-04
is part of: repository
is part of: Future Generation Computer Systems
subject: QA 75 Electronic computers. Computer science
has accepted: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
has document: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (PDF)
has document: PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

QA 75 Electronic computers. Computer science
type: Concept

Joshua Peake
family name: Peake
given name: Joshua
type: Person

Nicholas Costen
family name: Costen
given name: Nicholas
type: Person

Martyn Amos
family name: Amos
given name: Martyn
type: Person

Huw Lloyd
family name: Lloyd
given name: Huw
type: Person

Giovanni Masala
family name: Masala
given name: Giovanni
type: Person
given name: Giovanni Luca
name: Giovanni Luca Masala
given name: G.L.
name: G.L. Masala

Future Generation Computer Systems
issn: 0167739X
type: Collection

HTML Summary of #93697 Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids
format: text/html
primary topic: Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids

Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: cgf2022.pdf
has file: cgf2022.pdf
type: Document

Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (PDF)
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is volatile version of: Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (PDF)
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Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (Other)
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Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (Other)
has part: preview.jpg
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is volatile version of: Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (PDF)
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Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (Other)
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is volatile version of: Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (PDF)
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Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (Other)
has part: small.jpg
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is volatile version of: Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (PDF)
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Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids
abstract: Set systems can be visualized in various ways. An important distinction between techniques is whether the elements have a spatial location that is to be used for the visualization; for example, the elements are cities on a map. Strictly adhering to such location may severely limit the visualization and force overlay, intersections and other forms of clutter. On the other hand, completely ignoring the spatial dimension omits information and may hide spatial patterns in the data. We study layouts for set systems (or hypergraphs) in which spatial locations are displaced onto concentric circles or a grid, to obtain schematic set visualizations. We investigate the tractability of the underlying algorithmic problems adopting different optimization criteria (e.g. crossings or bends) for the layout structure, also known as the support of the hypergraph. Furthermore, we describe a simulated-annealing approach to heuristically optimize a combination of such criteria. Using this method in computational experiments, we explore the trade-offs and dependencies between criteria for computing high-quality schematic set visualizations.
author list: authors
status: peerReviewed
status: published
has version: Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (PDF)
creator: Peter Rodgers
creator: W. Meulemens
date: 2022-03-18
is part of: repository
is part of: Computer Graphics Forum
subject: QA76.76 Computer software
subject: QA 76 Software, computer programming,
has document: Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (PDF)
has document: Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (Other)
has published: Computing Schematic Layouts for Spatial Hypergraphs on Concentric Circles and Grids (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

QA76.76 Computer software
type: Concept

Wiley Online Library
type: Organization

S. Wessel
family name: Wessel
given name: S.
type: Person

A. Schulz
family name: Schulz
given name: A.
type: Person

F.F. Dekker
family name: Dekker
given name: F.F.
type: Person

M.A. Bekos
family name: Bekos
given name: M.A.
type: Person

Peter Rodgers
family name: Rodgers
given name: Peter
type: Person

W. Meulemens
family name: Meulemens
given name: W.
type: Person
family name: Meulemans
given name: Wouter
name: Wouter Meulemans

Computer Graphics Forum
issn: 14678659
type: Collection

HTML Summary of #93613 Novel Molecular classification of colorectal cancer and correlation with survival
format: text/html
primary topic: Novel Molecular classification of colorectal cancer and correlation with survival

Novel Molecular classification of colorectal cancer and correlation with survival (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Daniel_Soria.pdf
has part: Daniel_Soria.pdf_nocoversheet
has file: Daniel_Soria.pdf
has file: Daniel_Soria.pdf_nocoversheet
type: Document

Novel Molecular classification of colorectal cancer and correlation with survival (Other)
has part: indexcodes.txt
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is version of: Novel Molecular classification of colorectal cancer and correlation with survival (PDF)
is volatile version of: Novel Molecular classification of colorectal cancer and correlation with survival (PDF)
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Novel Molecular classification of colorectal cancer and correlation with survival (Other)
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Novel Molecular classification of colorectal cancer and correlation with survival (Other)
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Novel Molecular classification of colorectal cancer and correlation with survival (Other)
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Novel Molecular classification of colorectal cancer and correlation with survival (Other)
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Novel Molecular classification of colorectal cancer and correlation with survival
abstract: Colorectal cancer (CRC) is one of the most common cancers worldwide. This study was designed to evaluate biological patterns, explore molecular classification and correlate with survival outcome in treatment naïve CRC patients. Methods Over 11 years consecutive series of 435 CRC patients were operated on as primary surgical therapy. A total of 201 CRC patients were included, whose complete set of clinical information was available, and their good quality tumour blocks were retrieved. Immunohistochemistry was used for tumour analysis, and partitional clustering was performed using R software for cluster analysis. Results The median age was 43 (range 10-85) years; adenocarcinoma was the most commonly seen histological type. The great majority had positive CK20, CEA, E-Cadherin, Ki67, CDX2, and p53 expression. There were four distinct molecular classes found, whereas Ki67, CDX2, and p53 play 3 the main role in partitioning. Younger age negatively impacted survival; overall and diseasespecific survival was 26 months only with 50 months’ longest survival. Conclusion Colorectal cancer is a biologically heterogeneous disease with at least four distinct molecular patterns, where cell proliferation and gene repair mechanisms appear to play the key role.
author list: authors
status: peerReviewed
status: published
has version: Novel Molecular classification of colorectal cancer and correlation with survival (PDF)
creator: Daniele Soria
date: 2022-03-10
is part of: repository
is part of: Saudi Journal of Biological Sciences
subject: QA Mathematics (inc Computing science)
has document: Novel Molecular classification of colorectal cancer and correlation with survival (PDF)
has document: Novel Molecular classification of colorectal cancer and correlation with survival (Other)
has published: Novel Molecular classification of colorectal cancer and correlation with survival (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Binafsha Manzoor Syed
family name: Manzoor Syed
given name: Binafsha
type: Person

Jawaid Naeem Qureshi
family name: Naeem Qureshi
given name: Jawaid
type: Person

Ali Muhammad Waryah
family name: Muhammad Waryah
given name: Ali
type: Person

Tanweer Ahmed Shaikh
family name: Ahmed Shaikh
given name: Tanweer
type: Person

Ikram Din Ujjan
family name: Din Ujjan
given name: Ikram
type: Person

Fayaz Hussian Mangi
family name: Hussian Mangi
given name: Fayaz
type: Person

Daniele Soria
family name: Soria
given name: Daniele
type: Person
given name: D.
name: D. Soria

Saudi Journal of Biological Sciences
issn: 1319562X
type: Collection

HTML Summary of #93468 Personal Information: Perceptions, Types and Evolution
format: text/html
primary topic: Personal Information: Perceptions, Types and Evolution

Personal Information: Perceptions, Types and Evolution (PDF)
license: http://creativecommons.org/licenses/by-nd/3.0/
type: Document

Personal Information: Perceptions, Types and Evolution (Other)
is index codes version of: Personal Information: Perceptions, Types and Evolution (PDF)
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Personal Information: Perceptions, Types and Evolution (Other)
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Personal Information: Perceptions, Types and Evolution (Other)
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Personal Information: Perceptions, Types and Evolution (Other)
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Personal Information: Perceptions, Types and Evolution (Other)
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Personal Information: Perceptions, Types and Evolution
abstract: Advances in technology have made us as a society think more about cyber security and privacy, particularly how we consider and protect personal information. Such developments have introduced a temporal dimension to the definition of personal information and we have also witnessed new types of data emerging (e.g., phone sensor data, stress level measurements). These rapid technological changes introduce several challenges as legislation is often inadequate, and therefore questions regularly arise pertaining whether information should be considered personal or sensitive and thereby better protected. In this paper, therefore, we look to significantly advance research into this domain by investigating how personal information is regarded in governmental legislations/regulations, privacy policies of applications, and academic research articles. Through an assessment of how personal information has evolved and is perceived differently (e.g., in the context of sensitivity) across these key stakeholders identifying fundamental disconnects, this work contributes to understanding the social implications of new technologies. Furthermore, we introduce a series of novel taxonomies of personal information which can significantly support and help guide how researchers and practitioners work with, or develop tools to protect, such information.
author list: authors
status: forthcoming
status: peerReviewed
has version: Personal Information: Perceptions, Types and Evolution (PDF)
creator: Jason R. C. Nurse
creator: Rahime Belen Sağlam
date: 2022-03-04
is part of: repository
is part of: Journal of Information Security and Applications
subject: H Social Sciences (General)
subject: QA Mathematics (inc Computing science)
subject: T Technology (General)
has accepted: Personal Information: Perceptions, Types and Evolution (PDF)
has document: Personal Information: Perceptions, Types and Evolution (PDF)
has document: Personal Information: Perceptions, Types and Evolution (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

T Technology (General)
type: Concept

Duncan Hodges
family name: Hodges
given name: Duncan
type: Person

Rahime Belen Sağlam
family name: Belen Sağlam
given name: Rahime
type: Person
family name: Sağlam
given name: Rahime Belen

Journal of Information Security and Applications
issn: 22142126
type: Collection

HTML Summary of #93540 Debugging Type Errors with a Blackbox Compiler
format: text/html
primary topic: Debugging Type Errors with a Blackbox Compiler

Debugging Type Errors with a Blackbox Compiler (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: 127Joanna_Sharrad_Thesis_Final.pdf
has part: 127Joanna_Sharrad_Thesis_Final.pdf_nocoversheet
has file: 127Joanna_Sharrad_Thesis_Final.pdf
has file: 127Joanna_Sharrad_Thesis_Final.pdf_nocoversheet
type: Document

Debugging Type Errors with a Blackbox Compiler (Other)
has part: indexcodes.txt
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Debugging Type Errors with a Blackbox Compiler (Other)
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Debugging Type Errors with a Blackbox Compiler (Other)
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Debugging Type Errors with a Blackbox Compiler (Other)
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Debugging Type Errors with a Blackbox Compiler (Other)
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type: Document

Debugging Type Errors with a Blackbox Compiler
THS: Olaf Chitil
abstract: Type error debugging can be a laborious yet necessary process for programmers of statically typed functional programming languages. Often a compiler compounds this by inaccurately reporting the location of a type error, a problem that has been a subject of research for over thirty years. However, despite its long history, the solutions proposed are often reliant on direct modifications to the compiler, often distributed in the form of patches. These patches append another level of arduous activity to the task of debugging, keeping them modernised to the ever-changing programming language they support. This thesis investigates an additional option; the blackbox compiler. Split into three central parts, it shows the individual solutions involved in using a blackbox compiler to debug type errors in functional programming languages. First is a demonstration of how the combination of a blackbox compiler and a generic debugging algorithm can successfully locate type errors. Next tackled is a side-effect of this new combination, the introduction of extra errors, combated with a new speed boosted algorithm, evaluated with a proposed framework based on Data Science techniques to quantify the quality of a type error debugger. Lastly, the algorithms employed throughout this thesis, along with the blackbox compiler, have agnostic properties, they do not need language-specific knowledge. Thus, the final part presents utilising the agnostic abilities for an agnostic debugger to locate type errors.
author list: authors
degree: phd
status: published
creator: Joanna Sharrad
date: 2022-03
is part of: repository
subject: QA 75 Electronic computers. Computer science
has document: Debugging Type Errors with a Blackbox Compiler (PDF)
has document: Debugging Type Errors with a Blackbox Compiler (Other)
type: Article
type: Thesis
type: EPrint
type: ThesisEPrint

University of Kent,
type: Organization

School of Computing, University of Kent,
type: Organization

Joanna Sharrad
family name: Sharrad
given name: Joanna
type: Person

Olaf Chitil
family name: Chitil
given name: Olaf
type: Person

HTML Summary of #91647 A System to Calculate Cyber-Value-at-Risk
format: text/html
primary topic: A System to Calculate Cyber-Value-at-Risk

A System to Calculate Cyber-Value-at-Risk (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

A System to Calculate Cyber-Value-at-Risk (Other)
has part: indexcodes.txt
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A System to Calculate Cyber-Value-at-Risk (Other)
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A System to Calculate Cyber-Value-at-Risk (Other)
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A System to Calculate Cyber-Value-at-Risk (Other)
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A System to Calculate Cyber-Value-at-Risk (Other)
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A System to Calculate Cyber-Value-at-Risk (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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type: Document

A System to Calculate Cyber-Value-at-Risk (Other)
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A System to Calculate Cyber-Value-at-Risk (Other)
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A System to Calculate Cyber-Value-at-Risk (Other)
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A System to Calculate Cyber-Value-at-Risk (Other)
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A System to Calculate Cyber-Value-at-Risk (Other)
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A System to Calculate Cyber-Value-at-Risk
abstract: In the face of increasing numbers of cyber-attacks, it is critical for organisations to understand the risk they are exposed to even after deploying security controls. This residual risk forms part of the ongoing operational environment, and must be understood and planned for if resilience is to be achieved. However, there is a lack of rigorous frameworks to help organisations reason about how their use of risk controls can change the nature of the potential losses they face, given an often changing threat landscape. To address this gap, we present a system that calculates Cyber-Value-at-Risk (CVaR) of an organisation. CVaR is a probabilistic density function for losses from cyber-incidents, for any given threats of interest and risk control practice. It can take account of varying effectiveness of controls, the consequences for risk propagation through infrastructures, and the cyber-harms that result. We demonstrate the utility of the system in a real case study by calculating the CVaR of an organisation that experienced a significant cyber-incident. We show that the system is able to produce predictions representative of the actual financial loss. The presented system can be used by insurers offering cyber products to better inform the calculation of insurance premiums, and by organisations to reason about the effects of using particular risk control setups on reducing their exposure to cyber-risk.
author list: authors
status: peerReviewed
status: published
volume: 113
has version: A System to Calculate Cyber-Value-at-Risk (PDF)
creator: Jason R. C. Nurse
date: 2022-02
is part of: repository
is part of: Computers & Security
subject: H Social Sciences (General)
subject: QA 75 Electronic computers. Computer science
subject: QA 76 Software, computer programming,
subject: T Technology
has accepted: A System to Calculate Cyber-Value-at-Risk (PDF)
has document: A System to Calculate Cyber-Value-at-Risk (PDF)
has document: A System to Calculate Cyber-Value-at-Risk (Other)
has published: A System to Calculate Cyber-Value-at-Risk (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Michael Goldsmith
family name: Goldsmith
given name: Michael
type: Person

Arnau Erola
family name: Erola
given name: Arnau
type: Person

Ioannis Agrafiotis
family name: Agrafiotis
given name: Ioannis
type: Person

Louise Axon
family name: Axon
given name: Louise
type: Person

Sadie Creese
family name: Creese
given name: Sadie
type: Person

Computers & Security
issn: 01674048
type: Collection
name: Computers and Security

HTML Summary of #92005 Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
format: text/html
primary topic: Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI

Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: 2105.12497.pdf
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has file: 2105.12497.pdf
has file: 2105.12497.pdf_nocoversheet
type: Document

Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI (Other)
has part: indexcodes.txt
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Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI (Other)
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Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI (Other)
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Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI (Other)
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Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI (Other)
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Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
abstract: Deep learning plays a vital role in classifying different arrhythmias using electrocardiography (ECG) data. Nevertheless, training deep learning models normally requires a large amount of data and can lead to privacy concerns. Unfortunately, a large amount of healthcare data cannot be easily collected from a single silo. Additionally, deep learning models are like black-box, with no explainability of the predicted results, which is often required in clinical healthcare. This limits the application of deep learning in real-world health systems. In this paper, to address the above-mentioned challenges, we design a novel end-to-end framework in a federated setting for ECG-based healthcare using explainable artificial intelligence (XAI) and deep convolutional neural networks (CNN). The federated setting is used to solve challenges such as data availability and privacy concerns. Furthermore, the proposed framework effectively classifies different arrhythmias using an autoencoder and a classifier, both based on a CNN. Additionally, we propose an XAI-based module on top of the proposed classifier for interpretability of the classification results, which helps clinical practitioners to interpret the predictions of the classifier and to make quick and reliable decisions. The proposed framework was trained and tested using the baseline Massachusetts Institute of Technology - Boston's Beth Israel Hospital (MIT-BIH) Arrhythmia database. The trained classifier outperformed existing work by achieving accuracy up to 94.5% and 98.9% for arrhythmia detection using noisy and clean data, respectively, with five-fold cross-validation. We also propose a new communication cost reduction method to reduce the communication costs and to enhance the privacy of users' data in the federated setting. While the proposed framework was tested and validated for ECG classification, it is general enough to be extended to many other healthcare applications.
author list: authors
status: peerReviewed
status: published
volume: 236
has version: Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI (PDF)
creator: Ali Raza
creator: Kim Phuc Tran
creator: Ludovic Koehl
creator: Shujun Li
date: 2022-01-25
is part of: repository
is part of: Knowledge-Based Systems
subject: Q335 Artificial intelligence
subject: QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
subject: QA76.87 Neural computers, neural networks
subject: R858 Computer applications to medicine. Medical informatics. Medical information technology
subject: TK5102.9 Signal processing
subject: TK7882.P3 Pattern recognition systems
subject: TK7885 Computer engineering. Computer hardware
has document: Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI (PDF)
has document: Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI (Other)
has submitted: Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Q335 Artificial intelligence
type: Concept

QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
type: Concept

QA76.87 Neural computers, neural networks
type: Concept

R858 Computer applications to medicine. Medical informatics. Medical information technology
type: Concept

TK5102.9 Signal processing
type: Concept

TK7882.P3 Pattern recognition systems
type: Concept

TK7885 Computer engineering. Computer hardware
type: Concept

Ali Raza
family name: Raza
given name: Ali
type: Person

Kim Phuc Tran
family name: Tran
given name: Kim Phuc
type: Person

Ludovic Koehl
family name: Koehl
given name: Ludovic
type: Person

Shujun Li
family name: Li
given name: Shujun
type: Person

Knowledge-Based Systems
issn: 09507051
type: Collection

HTML Summary of #93004 Cost-sensitive Boosting Pruning Trees for depression detection on Twitter
format: text/html
primary topic: Cost-sensitive Boosting Pruning Trees for depression detection on Twitter

Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (PDF)
has part: Cost-sensitive_Boosting_Pruning_Trees_for_depression_detection_on_Twitter.pdf
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Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (PDF)
type: Document

Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (Other)
is index codes version of: Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (PDF)
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Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (Other)
is index codes version of: Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (PDF)
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Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (Other)
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Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (Other)
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Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (Other)
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Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (Other)
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Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (Other)
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Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (Other)
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Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (Other)
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Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (Other)
is version of: Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (PDF)
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Cost-sensitive Boosting Pruning Trees for depression detection on Twitter
abstract: Depression is one of the most common mental health disorders, and a large number of depressed people commit suicide each year. Potential depression sufferers usually do not consult psychological doctors because they feel ashamed or are unaware of any depression, which may result in severe delay of diagnosis and treatment. In the meantime, evidence shows that social media data provides valuable clues about physical and mental health conditions. In this paper, we argue that it is feasible to identify depression at an early stage by mining online social behaviours. Our approach, which is innovative to the practice of depression detection, does not rely on the extraction of numerous or complicated features to achieve accurate depression detection. Instead, we propose a novel classifier, namely, Cost-sensitive Boosting Pruning Trees (CBPT), which demonstrates a strong classification ability on two publicly accessible Twitter depression detection datasets. To comprehensively evaluate the classification capability of CBPT, we use additional three datasets from the UCI machine learning repository and CBPT obtains appealing classification results against several state of the arts boosting algorithms. Finally, we comprehensively explore the influence factors for the model prediction, and the results manifest that our proposed framework is promising for identifying Twitter users with depression
author list: authors
status: peerReviewed
status: published
has version: Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (PDF)
date: 2022-01-25
is part of: repository
is part of: IEEE Transactions on Affective Computing
subject: Q335 Artificial intelligence
has accepted: Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (PDF)
has document: Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (PDF)
has document: Cost-sensitive Boosting Pruning Trees for depression detection on Twitter (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

IEEE
type: Organization

Jialin Lyu
family name: Lyu
given name: Jialin
type: Person

Long Chen
family name: Chen
given name: Long
type: Person

Qianni Zhang
family name: Zhang
given name: Qianni
type: Person

Feixiang Zhou
family name: Zhou
given name: Feixiang
type: Person

Zhihua Liu
family name: Liu
given name: Zhihua
type: Person

Ling Li
family name: Li
given name: Ling
type: Person

Abdul Sadka
family name: Sadka
given name: Abdul
type: Person

Yinhai Wang
family name: Wang
given name: Yinhai
type: Person

Xiangrong Zhang
family name: Zhang
given name: Xiangrong
type: Person

Zheheng Jiang
family name: Jiang
given name: Zheheng
type: Person

Lei Tong
family name: Tong
given name: Lei
type: Person

Huiyu Zhou
family name: Zhou
given name: Huiyu
type: Person

IEEE Transactions on Affective Computing
issn: 23719850
type: Collection

HTML Summary of #92827 Data stream classification with ant colony optimisation
format: text/html
primary topic: Data stream classification with ant colony optimisation

Data stream classification with ant colony optimisation (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Data stream classification with ant colony optimisation (Other)
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Data stream classification with ant colony optimisation (Other)
is version of: Data stream classification with ant colony optimisation (PDF)
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Data stream classification with ant colony optimisation (Other)
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Data stream classification with ant colony optimisation (Other)
is version of: Data stream classification with ant colony optimisation (PDF)
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Data stream classification with ant colony optimisation (Other)
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Data stream classification with ant colony optimisation
abstract: Data stream mining has recently emerged in response to the rapidly increasing continuous data generation. While the majority of Ant Colony Optimisation (ACO) rule induction algorithms have proved to be successful in producing both accurate and comprehensive classification models in nonstreaming (batch) settings, currently ACO-based algorithms for classification problems are not suited to be applied to data stream mining. One of the main challenges is the iterative nature of ACO algorithms, where many procedures—for example, heuristic calculation, selection of continuous attributes, pruning—require multiple passes through the data to create a model. In this paper, we present a new ACO-based algorithm for data stream classification. The proposed algorithm, called Stream Ant-Miner (sAnt-Miner), uses a novel hybrid pheromone model combining both a traditional construction graph and solution archives models to efficiently handle a large number of mixed-type (nominal and continuous) attributes directly without the need for additional procedures, reducing the computational time required to complete an iteration of the algorithm. Our results show that sAnt-Miner produces statistically significant concise models compared with state-of-the-art rule induction data stream algorithms, without negative effects on their predictive accuracy.
author list: authors
status: peerReviewed
status: published
has version: Data stream classification with ant colony optimisation (PDF)
creator: Ayah Helal
creator: Fernando E.B. Otero
date: 2022-01-10
is part of: repository
is part of: International Journal of Intelligent Systems
subject: Q335 Artificial intelligence
has accepted: Data stream classification with ant colony optimisation (PDF)
has document: Data stream classification with ant colony optimisation (PDF)
has document: Data stream classification with ant colony optimisation (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Wiley
type: Organization

Ayah Helal
family name: Helal
given name: Ayah
type: Person

Fernando E.B. Otero
family name: Otero
given name: Fernando E.B.
type: Person
given name: Fernando
name: Fernando Otero

International Journal of Intelligent Systems
issn: 08848173
type: Collection

HTML Summary of #92603 Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks
format: text/html
primary topic: Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks

Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (PDF)
license: http://creativecommons.org/licenses/by/3.0/
type: Document

Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (PDF)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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type: Document

Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: TNSRE3141593_completed.pdf
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
has part: small.jpg
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Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
has part: indexcodes.txt
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is index codes version of: Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (PDF)
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is volatile version of: Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (PDF)
type: Document

Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks
abstract: Hand gesture recognition with surface electromyography (sEMG) is indispensable for Muscle-Gesture-Computer Interface. The usual focus of it is upon performance evaluation involving the accuracy and robustness of hand gesture recognition. However, addressing the reliability of such classifiers has been absent, to our best knowledge. This may be due to the lack of consensus on the definition of model reliability in this field. An uncertainty-aware model has the potential to self-evaluate the quality of its inference, thereby making it more reliable. Moreover, uncertainty-based rejection has been shown to improve the performance of sEMG-based hand gesture recognition. Therefore, we first define model reliability here as the quality of its uncertainty estimation and propose an offline framework to quantify it. To promote reliability analysis, we propose a novel end-to-end uncertainty-aware finger movement classifier, i.e., evidential convolutional neural network (ECNN), and illustrate the advantages of its multidimensional uncertainties such as vacuity and dissonance. Extensive comparisons of accuracy and reliability are conducted on NinaPro Database 5, exercise A, across CNN and three variants of ECNN based on different training strategies. The results of classifying 12 finger movements over 10 subjects show that the best mean accuracy achieved by ECNN is 76.34%, which is slightly higher than the state-of-the-art performance. Furthermore, ECNN variants are more reliable than CNN in general, where the highest improvement of reliability of 19.33% is observed. This work demonstrates the potential of ECNN and recommends using the proposed reliability analysis as a supplementary measure for studying sEMG-based hand gesture recognition.
author list: authors
status: peerReviewed
status: published
has version: Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (PDF)
creator: Ling Li
creator: Philippe De Wilde
creator: Ramaswamy Palaniappan
creator: Yuzhou Lin
date: 2022-01-07
is part of: repository
is part of: IEEE Transactions on Neural Systems and Rehabilitation Engineering
subject: Q335 Artificial intelligence
subject: QA76.9.H85 Human computer interaction
has accepted: Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (PDF)
has document: Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (PDF)
has document: Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (Other)
has published: Reliability Analysis For Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks (PDF)
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type: Article
type: ArticleEPrint
type: EPrint

QA76.9.H85 Human computer interaction
type: Concept

Ling Li
family name: Li
given name: Ling
type: Person
given name: L.
name: L. Li

Philippe De Wilde
family name: De Wilde
given name: Philippe
type: Person

Ramaswamy Palaniappan
family name: Palaniappan
given name: Ramaswamy
type: Person
given name: R.
name: R. Palaniappan
family name: Ramaswamy
given name: Palaniappan
name: Palaniappan Ramaswamy

Yuzhou Lin
family name: Lin
given name: Yuzhou
type: Person

IEEE Transactions on Neural Systems and Rehabilitation Engineering
issn: 15344320
type: Collection

HTML Summary of #90749 Device Identification Using Discrete Wavelet Transform
format: text/html
primary topic: Device Identification Using Discrete Wavelet Transform

Device Identification Using Discrete Wavelet Transform (PDF)
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Device Identification Using Discrete Wavelet Transform (Other)
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Device Identification Using Discrete Wavelet Transform (Other)
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Device Identification Using Discrete Wavelet Transform (Other)
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Device Identification Using Discrete Wavelet Transform (Other)
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Device Identification Using Discrete Wavelet Transform (Other)
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type: Document

Device Identification Using Discrete Wavelet Transform
abstract: This paper investigates the effectiveness of employing measured hardware features mapped into the frequency domain for devices identification. The technique is to utilize Discrete Wavelet Transform (DWT) coefficients as distinguishing features. The DWT coefficients address the degree of relationship between the investigated features and the wavelet function at different occurrences of time. Therefore, DWT coefficients carry useful temporal information about the transient activity of the investigated wavelet features. We study the impacts of utilizing different wavelet functions (Coiflets, Haar and Symlets) on the performance of the device identification system. This system yields 92.5 % of accuracy using Sym6 wavelet. A comparison is made of the accuracy of wavelet features and raw features with standard classifiers.
author list: authors
status: peerReviewed
status: published
has version: Device Identification Using Discrete Wavelet Transform (PDF)
creator: Pooja Khanna
creator: Supriya Yadav
creator: Gareth Howells
date: 2022-01-05
is part of: repository
subject: QA 76 Software, computer programming,
subject: TA1637 Image processing
has accepted: Device Identification Using Discrete Wavelet Transform (PDF)
has document: Device Identification Using Discrete Wavelet Transform (PDF)
has document: Device Identification Using Discrete Wavelet Transform (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

TA1637 Image processing
type: Concept

7th International Conference on Engineering and Emerging Technologies (ICEET)
type: Conference
type: Event

Istanbul, Turkey
type: SpatialThing

Pooja Khanna
family name: Khanna
given name: Pooja
type: Person

Supriya Yadav
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given name: Supriya
type: Person

Gareth Howells
family name: Howells
given name: Gareth
type: Person

HTML Summary of #92554 Machine learning-based predictions of dietary restriction associations across ageing-related genes
format: text/html
primary topic: Machine learning-based predictions of dietary restriction associations across ageing-related genes

Machine learning-based predictions of dietary restriction associations across ageing-related genes (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Machine learning-based predictions of dietary restriction associations across ageing-related genes (Other)
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Machine learning-based predictions of dietary restriction associations across ageing-related genes (Other)
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Machine learning-based predictions of dietary restriction associations across ageing-related genes (Other)
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Machine learning-based predictions of dietary restriction associations across ageing-related genes (Other)
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Machine learning-based predictions of dietary restriction associations across ageing-related genes (Other)
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Machine learning-based predictions of dietary restriction associations across ageing-related genes
author list: authors
status: peerReviewed
status: published
volume: 23
has version: Machine learning-based predictions of dietary restriction associations across ageing-related genes (PDF)
creator: Alex A. Freitas
date: 2022-01-04
is part of: repository
is part of: BMC Bioinformatics
subject: Q335 Artificial intelligence
has document: Machine learning-based predictions of dietary restriction associations across ageing-related genes (PDF)
has document: Machine learning-based predictions of dietary restriction associations across ageing-related genes (Other)
has published: Machine learning-based predictions of dietary restriction associations across ageing-related genes (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Springer
type: Organization

João Pedro de Magalhaes
family name: de Magalhaes
given name: João Pedro
type: Person

Alex A. Freitas
family name: Freitas
given name: Alex A.
type: Person
given name: Alex
name: Alex Freitas
given name: A.
name: A. Freitas
given name: A.A.
name: A.A. Freitas

G.D.V. Magdaleno
family name: Magdaleno
given name: G.D.V.
type: Person

V. Bespalov
family name: Bespalov
given name: V.
type: Person

Y. Zheng
family name: Zheng
given name: Y.
type: Person

BMC Bioinformatics
issn: 14712105
type: Collection

HTML Summary of #91573 An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification
format: text/html
primary topic: An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification

An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification (Other)
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An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification (Other)
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An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification (Other)
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An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification (Other)
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An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification (Other)
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An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification
abstract: As a powerful tool for data streams processing, the vast majority of existing evolving intelligent systems (EISs) learn prediction models from data in a supervised manner. However, high-quality labelled data can be difficult to obtain in many real-world classification applications concerning data streams, though unlabelled data is plentiful. To overcome the labelling bottleneck and construct a stronger classification model, a novel semi-supervised EIS is proposed in this paper. After being primed with a small amount of labelled data, the proposed method is capable of continuously self-developing its system structure and self-updating the meta-parameters from unlabelled data streams chunk-by-chunk in a non-iterative, exploratory manner by exploiting a novel pseudo-labelling strategy. Thanks to its transparent prototype-based structure and human-understandable reasoning process, the proposed method can provide users high explainability and interpretability while achieving great classification precision. Experimental investigation demonstrates the superior performance of the proposed method.
author list: authors
status: peerReviewed
status: published
volume: 583
has version: An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification (PDF)
creator: Xiaowei Gu
date: 2022-01
is part of: repository
is part of: Information Sciences
subject: QA Mathematics (inc Computing science)
has accepted: An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification (PDF)
has document: An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification (PDF)
has document: An Explainable Semi-Supervised Self-Organizing Fuzzy Inference System for Streaming Data Classification (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Information Sciences
issn: 00200255
type: Collection

HTML Summary of #92963 New Longitudinal Classification Approaches and Applications to Age-Related Disease Data
format: text/html
primary topic: New Longitudinal Classification Approaches and Applications to Age-Related Disease Data

New Longitudinal Classification Approaches and Applications to Age-Related Disease Data (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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type: Document

New Longitudinal Classification Approaches and Applications to Age-Related Disease Data (Other)
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New Longitudinal Classification Approaches and Applications to Age-Related Disease Data (Other)
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New Longitudinal Classification Approaches and Applications to Age-Related Disease Data (Other)
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New Longitudinal Classification Approaches and Applications to Age-Related Disease Data (Other)
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New Longitudinal Classification Approaches and Applications to Age-Related Disease Data (Other)
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New Longitudinal Classification Approaches and Applications to Age-Related Disease Data
THS: Alex A. Freitas
abstract: Traditional supervised machine learning techniques need to be adapted when applied to longitudinal datasets, due to their specific characteristics such as a large amount of missing data and the dependency between repeated measurements of the same variables. These adaptations range from data preprocessing techniques that maintain and use information from the underlying temporal data structure of longitudinal datasets, to algorithm adaptations that consider the temporal aspect of the data when making predictions. In this thesis we focus on the classification task of supervised learning, in the context of longitudinal biomedical and health data from ageing studies. More specifically, we address the problem of predicting the diagnosis of age-related diseases, given several years of observations about each instance (individual). In order to evaluate our proposed approaches for longitudinal supervised learning (described below), we created 30 longitudinal classification datasets. These datasets are comprised of data from the English and Irish longitudinal studies of ageing, which collect biomedical and self-reported health information on thousands of participants, over multiple waves carried out throughout the years. Regarding supervised learning algorithms, we focus on decision tree-based algorithms, namely Random Forests (which learn an ensemble of decision trees) and a decision tree algorithm (which learns a single decision tree). These algorithms were chosen because they represent a good trade-off between predictive accuracy and interpretability, which is particularly relevant for our health application. Random Forests are known to achieve high predictive accuracy in general, and are partially interpretable (via feature importance measures), whilst decision trees are directly interpretable, although usually less accurate than Random Forests. This thesis' main contributions are three new approaches for coping with longitudinal data in supervised learning (particularly …
author list: authors
degree: phd
status: published
creator: Caio Eduardo Ribeiro
date: 2022-01
is part of: repository
subject: QA Mathematics (inc Computing science)
has document: New Longitudinal Classification Approaches and Applications to Age-Related Disease Data (PDF)
has document: New Longitudinal Classification Approaches and Applications to Age-Related Disease Data (Other)
type: Article
type: Thesis
type: EPrint
type: ThesisEPrint

Caio Eduardo Ribeiro
family name: Ribeiro
given name: Caio Eduardo
type: Person

HTML Summary of #90984 Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship
format: text/html
primary topic: Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship

Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (PDF)
type: Document

Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (Other)
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Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (Other)
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Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (Other)
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ispreview thumbnail version of: Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (PDF)
type: Document

Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (Other)
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type: Document

Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (Other)
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is version of: Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (PDF)
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Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship
abstract: We propose a new interval type-2 fuzzy (IT2F) programming method for risky multicriteria decision-making (MCDM) problems with IT2F truth degrees, where the criteria exhibit a heterogeneous relationship and decision-makers behave according to bounded rationality. First, we develop a technique to calculate the Banzhaf-based overall perceived utility values of alternatives based on 2-additive fuzzy measures and regret theory. Subsequently, considering pairwise comparisons of alternatives with IT2F truth degrees, we define the Banzhaf-based IT2F risky consistency index (BIT2FRCI) and the Banzhaf-based IT2F risky inconsistency index (BIT2FRII). Next, to identify the optimal weights, an IT2F programming model is established based on the concept that BIT2FRII must be minimized and must not exceed the BIT2FRCI using a fixed IT2F set. Furthermore, we design an effective algorithm using an external archive-based constrained state transition algorithm to solve the established model. Accordingly, the ranking order of alternatives is derived using the Banzhaf-based overall perceived utility values. Experimental studies pertaining to investment selection problems demonstrate the state-of-the-art performance of the proposed method, that is, its strong capability in addressing risky MCDM problems.
author list: authors
status: peerReviewed
status: published
volume: 584
has version: Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (PDF)
creator: Francisco Chiclana
creator: Guolin Tang
creator: Peide Liu
creator: Fubin Wang
creator: Jianpeng Long
creator: Xiaowei Gu
date: 2022-01
is part of: repository
is part of: Information Sciences
subject: QA 75 Electronic computers. Computer science
has accepted: Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (PDF)
has document: Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (PDF)
has document: Interval Type-2 Fuzzy Programming Method for Risky Multicriteria Decision-Making with Heterogeneous Relationship (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Francisco Chiclana
family name: Chiclana
given name: Francisco
type: Person

Guolin Tang
family name: Tang
given name: Guolin
type: Person

Peide Liu
family name: Liu
given name: Peide
type: Person

Fubin Wang
family name: Wang
given name: Fubin
type: Person

Jianpeng Long
family name: Long
given name: Jianpeng
type: Person

HTML Summary of #93415 Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort
format: text/html
primary topic: Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Daniel Soria - Journal-published - Feb2022 (3).pdf
has part: Daniel Soria - Journal-published - Feb2022 (3).pdf_nocoversheet
has file: Daniel Soria - Journal-published - Feb2022 (3).pdf
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type: Document

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (PDF)
is version of: Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (PDF)
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type: Document

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (Other)
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Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (Other)
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ispreview thumbnail version of: Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (PDF)
type: Document

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (Other)
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is volatile version of: Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (PDF)
ismedium thumbnail version of: Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (PDF)
type: Document

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (Other)
has part: small.jpg
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type: Document

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort
abstract: Purpose: Some patients with breast cancer treated by surgery and radiation therapy experience clinically significant toxicity, which may adversely affect cosmesis and quality of life. There is a paucity of validated clinical prediction models for radiation toxicity. We used machine learning (ML) algorithms to develop and optimise a clinical prediction model for acute breast desquamation after whole breast external beam radiation therapy in the prospective multicenter REQUITE cohort study. Methods and Materials: Using demographic and treatment-related features (m = 122) from patients (n = 2058) at 26 centers, we trained 8 ML algorithms with 10-fold cross-validation in a 50:50 random-split data set with class stratification to predict acute breast desquamation. Based on performance in the validation data set, the logistic model tree, random forest, and naïve Bayes models were taken forward to cost-sensitive learning optimisation. Results: One hundred and ninety-two patients experienced acute desquamation. Resampling and cost-sensitive learning optimisation facilitated an improvement in classification performance. Based on maximising sensitivity (true positives), the “hero” model was the cost-sensitive random forest algorithm with a false-negative: false-positive misclassification penalty of 90:1 containing m = 114 predictive features. Model sensitivity and specificity were 0.77 and 0.66, respectively, with an area under the curve of 0.77 in the validation cohort. Conclusions: ML algorithms with resampling and cost-sensitive learning generated clinically valid prediction models for acute desquamation using patient demographic and treatment features. Further external validation and inclusion of genomic markers in ML prediction models are worthwhile, to identify patients at increased risk of toxicity who may benefit from supportive intervention or even a change in treatment plan
author list: authors
issue: 3
status: peerReviewed
status: published
volume: 7
has version: Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (PDF)
creator: Daniele Soria
date: 2022
is part of: repository
is part of: Advances in Radiation Oncology
subject: QA Mathematics (inc Computing science)
has document: Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (PDF)
has document: Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (Other)
has published: Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Sheryl Green
family name: Green
given name: Sheryl
type: Person

Mahmoud Aldraimli
family name: Aldraimli
given name: Mahmoud
type: Person

Catharine M. West
family name: West
given name: Catharine M.
type: Person

Tim Rattay
family name: Rattay
given name: Tim
type: Person

Petra Seibold
family name: Seibold
given name: Petra
type: Person

Maria C. de Santis
family name: de Santis
given name: Maria C.
type: Person

Barry S. Rosenstein
family name: Rosenstein
given name: Barry S.
type: Person

Liv Veldeman
family name: Veldeman
given name: Liv
type: Person

Jorge Oliveira
family name: Oliveira
given name: Jorge
type: Person

Hans van Hulle
family name: van Hulle
given name: Hans
type: Person

Marlon R. Veldwijk
family name: Veldwijk
given name: Marlon R.
type: Person

Maarten Lambrecht
family name: Lambrecht
given name: Maarten
type: Person

Anil Mistry
family name: Mistry
given name: Anil
type: Person

Adam Webb
family name: Webb
given name: Adam
type: Person

Hilary Stobart
family name: Stobart
given name: Hilary
type: Person

Thierry J. Chaussalet
family name: Chaussalet
given name: Thierry J.
type: Person

Robert Samuel
family name: Samuel
given name: Robert
type: Person

Leila E.A. Shelley
family name: Shelley
given name: Leila E.A.
type: Person

Laura Lozza
family name: Lozza
given name: Laura
type: Person

Christopher J. Talbot
family name: Talbot
given name: Christopher J.
type: Person

Victoria Reyes
family name: Reyes
given name: Victoria
type: Person

Alexandra Giraldo
family name: Giraldo
given name: Alexandra
type: Person

Vincent J.L. Vakaet
family name: Vakaet
given name: Vincent J.L.
type: Person

Elena Sperk
family name: Sperk
given name: Elena
type: Person

Caroline Weltens
family name: Weltens
given name: Caroline
type: Person

Samuel Ingram
family name: Ingram
given name: Samuel
type: Person

Dirk de Ruysscher
family name: de Ruysscher
given name: Dirk
type: Person

Diana Grishchuck
family name: Grishchuck
given name: Diana
type: Person

Ana Vega
family name: Vega
given name: Ana
type: Person

Robert Lyon
family name: Lyon
given name: Robert
type: Person

Miguel E. Aguado-Barrera
family name: Aguado-Barrera
given name: Miguel E.
type: Person

Carsten Herskind
family name: Herskind
given name: Carsten
type: Person

R. Paul Symonds
family name: Symonds
given name: R. Paul
type: Person

Sara Gutiérrez-Enríquez
family name: Gutiérrez-Enríquez
given name: Sara
type: Person

David Azria
family name: Azria
given name: David
type: Person

Sarah Osman
family name: Osman
given name: Sarah
type: Person

Tiziana Rancati
family name: Rancati
given name: Tiziana
type: Person

Begoña Taboada-Valadares
family name: Taboada-Valadares
given name: Begoña
type: Person

Miriam V. Dwek
family name: Dwek
given name: Miriam V.
type: Person

Alison Dunning
family name: Dunning
given name: Alison
type: Person

Jenny Chang-Claude
family name: Chang-Claude
given name: Jenny
type: Person

Advances in Radiation Oncology
issn: 24521094
type: Collection

HTML Summary of #93628 Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators
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primary topic: Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators

Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (PDF)
has part: ICWSM_2022_preprint_.pdf
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has file: ICWSM_2022_preprint_.pdf
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type: Document

Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (Other)
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Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (Other)
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Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (Other)
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Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (Other)
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is version of: Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (PDF)
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type: Document

Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (PDF)
is version of: Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (PDF)
is volatile version of: Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (PDF)
type: Document

Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators
abstract: Recently, there has been a rise in the development of powerful pre-trained natural language models, including GPT-2, Grover, and XLM. These models have shown state-of-the-art capabilities towards a variety of different NLP tasks, including question answering, content summarisation, and text generation. Alongside this, there have been many studies focused on online authorship attribution (AA). That is, the use of models to identify the authors of online texts. Given the power of natural language models in generating convincing texts, this paper examines the degree to which these language models can generate texts capable of deceiving online AA models. Experimenting with both blog and Twitter data, we utilise GPT-2 language models to generate texts using the existing posts of online users. We then examine whether these AI-based text generators are capable of mimicking authorial style to such a degree that they can deceive typical AA models. From this, we find that current AI-based text generators are able to successfully mimic authorship, showing capabilities towards this on both datasets. Our findings, in turn, highlight the current capacity of powerful natural language models to generate original online posts capable of mimicking authorial style sufficiently to deceive popular AA methods; a key finding given the proposed role of AA in real world applications such as spam-detection and forensic investigation.
author list: authors
status: forthcoming
status: peerReviewed
has version: Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (PDF)
creator: Jason R. C. Nurse
creator: Keenan Jones
creator: Shujun Li
date: 2022
is part of: repository
subject: QA76.87 Neural computers, neural networks
subject: QA 76 Software, computer programming,
subject: T Technology
has accepted: Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (PDF)
has document: Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (PDF)
has document: Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

16th International AAAI Conference on Web and Social Media (ICWSM-22)
type: Conference
type: Event

Atlanta, USA
type: SpatialThing

Association for the Advancement of Artificial Intelligence
type: Organization

Keenan Jones
family name: Jones
given name: Keenan
type: Person

HTML Summary of #91292 Simplifying Regular Expressions Further
format: text/html
primary topic: Simplifying Regular Expressions Further

Simplifying Regular Expressions Further (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Simplifying Regular Expressions Further (Other)
has part: indexcodes.txt
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Simplifying Regular Expressions Further (Other)
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Simplifying Regular Expressions Further (Other)
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Simplifying Regular Expressions Further (Other)
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Simplifying Regular Expressions Further (Other)
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Simplifying Regular Expressions Further
abstract: We describe a cumulative series of transformations to simplify regular expressions, and investigate their effectiveness and cost. Transformations depending on increasingly powerful comparisons of expressions give results clearly superior to commonly used algebraic simplifications. Early in the series, efficient transformations enabled by language-invariant attributes are surprisingly effective. Later in the series, transformations depending on comparisons of expressed languages are made feasible by bounding the size of subexpressions to which they are applied. We set out the principles of our transformations, address some key implementation issues, and evaluate the results of systematic test measurements.
author list: authors
status: peerReviewed
status: published
volume: 109
has version: Simplifying Regular Expressions Further (PDF)
creator: Colin Runciman
creator: Stefan Kahrs
date: 2022
is part of: repository
is part of: Journal of Symbolic Computation
subject: QA 9 Formal systems, logics
subject: QA 75 Electronic computers. Computer science
has accepted: Simplifying Regular Expressions Further (PDF)
has document: Simplifying Regular Expressions Further (PDF)
has document: Simplifying Regular Expressions Further (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

QA 9 Formal systems, logics
type: Concept

Colin Runciman
family name: Runciman
given name: Colin
type: Person

Stefan Kahrs
family name: Kahrs
given name: Stefan
type: Person

Journal of Symbolic Computation
issn: 07477171
type: Collection

HTML Summary of #90285 Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection
format: text/html
primary topic: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection

Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
has part: IEEE_ICTAI-2021_paper_243.pdf
has part: IEEE_ICTAI-2021_paper_243.pdf_nocoversheet
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has file: IEEE_ICTAI-2021_paper_243.pdf_nocoversheet
type: Document

Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (Other)
is index codes version of: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
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is volatile version of: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
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Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (Other)
is version of: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
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Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (Other)
is version of: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
is volatile version of: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
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Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (Other)
is version of: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
is volatile version of: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
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Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (Other)
is version of: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
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Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection
abstract: Cyber security is a topic of increasing relevance in relation to industrial networks. The higher intensity and intelligent use of data pushed by smart technology (Industry 4.0) together with an augmented integration between the operational technology (production) and the information technology (business) parts of the network have considerably raised the level of vulnerabilities. On the other hand, many industrial facilities still use serial networks as underlying communication system, and they are notoriously limited from a cyber security perspective since protection mechanisms available for TCP/IP communication do not apply. Therefore, an attacker gaining access to a serial network can easily control the industrial components, potentially causing catastrophic incidents, jeopardizing assets and human lives. This study proposes a framework to act as an anomaly detection system (ADS) for industrial serial networks. It has three ingredients: an unsupervised K-means component to analyse message content, a knowledge-based expert system component to analyse message metadata, and a voting process to generate alerts for security incidents, anomalous states, and faults. The framework was evaluated using the Profibus-DP, a network simulator which implements a serial bus system. Results for the simulated traffic were promising: 99.90% for accuracy, 99,64% for precision, and 99.28% for F1-Score. They indicate feasibility of the framework applied to serial-based industrial networks.
author list: authors
status: peerReviewed
status: published
has version: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
creator: Gustavo Pessin
creator: Ralf Luis de Moura
creator: Virginia N. L. Franqueira
date: 2021-12-21
is part of: repository
is part of: Proceedings: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence ICTAI 2021
subject: QA Mathematics (inc Computing science)
has accepted: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
has document: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (PDF)
has document: Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

The 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
type: Conference
type: Event

virtual event
type: SpatialThing

Gustavo Pessin
family name: Pessin
given name: Gustavo
type: Person

Ralf Luis de Moura
family name: Moura
given name: Ralf Luis de
type: Person

Virginia N. L. Franqueira
family name: Franqueira
given name: Virginia N. L.
type: Person
given name: Virginia N.L.
name: Virginia N.L. Franqueira

Proceedings: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence ICTAI 2021
issn: 9781665408981
type: Collection

HTML Summary of #92832 Nested Trees for Longitudinal Classification
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primary topic: Nested Trees for Longitudinal Classification

Nested Trees for Longitudinal Classification (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Nested Trees for Longitudinal Classification (Other)
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Nested Trees for Longitudinal Classification (Other)
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Nested Trees for Longitudinal Classification (Other)
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Nested Trees for Longitudinal Classification (Other)
is version of: Nested Trees for Longitudinal Classification (PDF)
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Nested Trees for Longitudinal Classification (Other)
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Nested Trees for Longitudinal Classification
abstract: Longitudinal datasets contain repeated measurements of the same variables at different points in time. Longitudinal data mining algorithms aim to utilize such datasets to extract interesting knowledge and produce useful models. Many existing longitudinal classification methods either dismiss the longitudinal aspect of the data during model construction or produce complex models that are scarcely interpretable. We propose a new longitudinal classification algorithm based on decision trees, named Nested Trees. It utilizes a unique longitudinal model construction method that is fully aware of the longitudinal aspect of the predictive attributes (variables) and constructs tree nodes that make decisions based on a longitudinal attribute as a whole, considering measurements of that attribute across multiple time points. The algorithm was evaluated using 10 classification tasks based on the English Longitudinal Study of Ageing (ELSA) data.
author list: authors
status: forthcoming
status: peerReviewed
has version: Nested Trees for Longitudinal Classification (PDF)
creator: Alex A. Freitas
creator: Fernando E.B. Otero
creator: Sergey Ovchinnik
date: 2021-12-12
is part of: repository
subject: Q335 Artificial intelligence
has accepted: Nested Trees for Longitudinal Classification (PDF)
has document: Nested Trees for Longitudinal Classification (PDF)
has document: Nested Trees for Longitudinal Classification (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

Sergey Ovchinnik
family name: Ovchinnik
given name: Sergey
type: Person

HTML Summary of #92838 Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges
format: text/html
primary topic: Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges

Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges (PDF)
has part: Privacy and Security in the Covid-19 Work from Home Context Tensi.pdf
has part: Privacy and Security in the Covid-19 Work from Home Context Tensi.pdf_nocoversheet
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Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges (Other)
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Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges (Other)
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Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges (Other)
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Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges (Other)
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Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges (Other)
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Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges
abstract: The COVID-19 pandemic has triggered an astonishing and sudden transition into home working, and is likely to lead to a permanent transformation of the workplace. With an increasing number of employees working from home, and more organizations having to manage their dispersed employees and operations remotely (Waizenegger et al, 2020), privacy and security are not only challenged, but also compromised and overlooked (Naidoo, 2020). This is exacerbated by the deployment of potentially unfamiliar technologies (e.g., Zoom, Slack), often without due diligence checks. Following these, we aim to explore the emerging tensions and risks to privacy and security accompanying the mass transition in the Covid-19 WFH context. Based on a series of qualitative interviews with managers and employees of different organizations, we identified relevant factors that challenge privacy and security within the COVID-19 WFH setting. Tensions and challenges are of technological, organizational and behavioral nature. Our research has found that often difficult balances need to be made. The WFH context that includes co-located families or housemates, shared spaces and caring responsibilities introduces complexities around these conflicting identities, and the ability to keep work-life separate from home-life. This increased blurring of work and home also means privacy is difficult to maintain, with greater opportunities for accidental disclosures in both directions. However, many also failed to appreciate the risks these possible invasions of privacy may introduce. Finally, whilst some workplaces have been able to support heightened security measures while WFH, for many there remains a chasm between best practice and actual behavior afforded by the more relaxed working environment. Overall, our research highlights the support needed for both organizations and their employees to ensure that privacy and security not only continue to be considered, but also revisited in light of the new threat la…
author list: authors
status: nonPeerReviewed
status: published
has version: Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges (PDF)
creator: Jason R. C. Nurse
date: 2021-12-12
is part of: repository
subject: H Social Sciences
subject: QA Mathematics (inc Computing science)
subject: T Technology
has document: Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges (PDF)
has document: Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges (Other)
has published: Privacy and Security in the Covid-19 Work from Home Context Tensions and Challenges (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

H Social Sciences
type: Concept

42nd International Conference on Information Systems (ICIS) TREOs
type: Conference

AIS Electronic Library (AISeL)
type: Organization

Niki Panteli
family name: Panteli
given name: Niki
type: Person

Nikki Williams
family name: Williams
given name: Nikki
type: Person

Emily Collins
family name: Collins
given name: Emily
type: Person

HTML Summary of #91421 Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study
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primary topic: Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study

Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study (PDF)
has part: EMBC21_1354_FI.pdf
has part: EMBC21_1354_FI.pdf_nocoversheet
has file: EMBC21_1354_FI.pdf
has file: EMBC21_1354_FI.pdf_nocoversheet
type: Document

Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study (Other)
has part: indexcodes.txt
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Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study (Other)
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Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study (Other)
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Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study (Other)
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Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study (Other)
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Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study
abstract: Food variety influences appetitive behaviour, motivation to eat and energy intake. Research found that repeated exposure to varied food images increases the motivation towards food in adults and children. This study investigates the effects of repetition on the modulation of early and late components of event-related potentials (ERPs) when participants passively viewed the same food and non-food images repeatedly. The motivational attention to food and non-food images were assessed in frontal, centroparietal, parietooccipital and occipitotemporal areas of the brain. Participants showed increased late positive potential (late ERP component) to high caloric image in the occipitotemporal region compared to low caloric and nonfood images. Similar effects could be seen in the early ERP component in the frontal region, but with reversed polarity. Data suggest that both the early and late ERP components show greater ERP amplitude when viewing high caloric images than low caloric and non-food images. Despite repeated exposure to same image, high caloric food continued to show sustained attention compared to low caloric and non-food image.
author list: authors
status: peerReviewed
status: published
has version: Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study (PDF)
creator: Daniele Soria
creator: Ramaswamy Palaniappan
date: 2021-12-09
is part of: repository
subject: R858 Computer applications to medicine. Medical informatics. Medical information technology
has accepted: Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study (PDF)
has document: Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study (PDF)
has document: Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (EMBC 2021)
type: Conference

Aruna Duraisingam
family name: Duraisingam
given name: Aruna
type: Person

HTML Summary of #91424 Acoustic Based Footstep Detection in Pervasive Healthcare
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primary topic: Acoustic Based Footstep Detection in Pervasive Healthcare

Acoustic Based Footstep Detection in Pervasive Healthcare (PDF)
has part: EMBC21_0867_FI.pdf
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has file: EMBC21_0867_FI.pdf_nocoversheet
type: Document

Acoustic Based Footstep Detection in Pervasive Healthcare (Other)
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Acoustic Based Footstep Detection in Pervasive Healthcare (Other)
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Acoustic Based Footstep Detection in Pervasive Healthcare (Other)
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Acoustic Based Footstep Detection in Pervasive Healthcare (Other)
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Acoustic Based Footstep Detection in Pervasive Healthcare (Other)
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Acoustic Based Footstep Detection in Pervasive Healthcare
abstract: Passive detection of footsteps in domestic settings can allow the development of assistive technologies that can monitor mobility patterns of older adults in their home environment. Acoustic footstep detection is a promising approach for nonintrusive detection of footsteps. So far there has been limited work in developing robust acoustic footstep detection systems that can operate in noisy home environments. In this paper, we propose a novel application of the Attention based Recurrent Deep Neural Network to detect human footsteps in noisy overlapping audio streams. The model is trained on synthetic data which simulates the acoustic scene in a home environment. To evaluate performance, we reproduced two footstep detection models from literature and compared them using the newly developed Polyphonic Sound Detection Scores (PSDS). Our model achieved the highest PSDS and is close to the highest score achieved by generic indoor AED models in DCASE. The proposed system is designed to both detect and track footsteps within a home setting, and to enhance state-of-the-art digital health-care solutions for empowering older adults to live autonomously in their own homes.
author list: authors
status: peerReviewed
status: published
has version: Acoustic Based Footstep Detection in Pervasive Healthcare (PDF)
creator: C. Efstratiou
creator: I. McLoughlin
creator: Ramaswamy Palaniappan
date: 2021-12-09
is part of: repository
subject: R858 Computer applications to medicine. Medical informatics. Medical information technology
has accepted: Acoustic Based Footstep Detection in Pervasive Healthcare (PDF)
has document: Acoustic Based Footstep Detection in Pervasive Healthcare (PDF)
has document: Acoustic Based Footstep Detection in Pervasive Healthcare (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
type: Conference

S. Dasgupta
family name: Dasgupta
given name: S.
type: Person

D. Das
family name: Das
given name: D.
type: Person

C. Efstratiou
family name: Efstratiou
given name: C.
type: Person
given name: Christos
name: Christos Efstratiou

K. Summoogum
family name: Summoogum
given name: K.
type: Person

I. McLoughlin
family name: McLoughlin
given name: I.
type: Person
given name: Ian Vince
name: Ian Vince McLoughlin
given name: Ian
name: Ian McLoughlin

HTML Summary of #92288 Coherent Parallelization of Universal Classical Computation
format: text/html
primary topic: Coherent Parallelization of Universal Classical Computation

Coherent Parallelization of Universal Classical Computation (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Perez-Delgado_2021_New_J._Phys._23_123015.pdf
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type: Document

Coherent Parallelization of Universal Classical Computation (Other)
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Coherent Parallelization of Universal Classical Computation (Other)
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Coherent Parallelization of Universal Classical Computation (Other)
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Coherent Parallelization of Universal Classical Computation (Other)
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Coherent Parallelization of Universal Classical Computation (Other)
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Coherent Parallelization of Universal Classical Computation
abstract: Previously, higher-order Hamiltonians (HoH) had been shown to offer an advantage in both metrology and quantum energy storage. Here, we axiomatize a model of computation that allows us to consider such Hamiltonians for the purposes of computation. From this axiomatic model, we formally prove that an HoH-based algorithm can gain up to a quadratic speed-up over classical sequential algorithms—for any possible classical computation. We show how our axiomatic model is grounded in the same physics as that used in HoH-based quantum advantage for metrology and battery charging. Thus we argue that any advance in implementing HoH-based quantum advantage in those scenarios can be co-opted for the purpose of speeding up computation.
author list: authors
status: peerReviewed
status: published
volume: 23
has version: Coherent Parallelization of Universal Classical Computation (PDF)
creator: Carlos A Pérez-Delgado
creator: Sai Vinjanampathy
date: 2021-12-08
is part of: repository
is part of: New Journal of Physics
subject: QA76.76 Computer software
subject: QC174.12 Quantum theory
has document: Coherent Parallelization of Universal Classical Computation (PDF)
has document: Coherent Parallelization of Universal Classical Computation (Other)
has published: Coherent Parallelization of Universal Classical Computation (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

QC174.12 Quantum theory
type: Concept

IOP Publishing
type: Organization

Carlos A Pérez-Delgado
family name: Pérez-Delgado
given name: Carlos A
type: Person

Sai Vinjanampathy
family name: Vinjanampathy
given name: Sai
type: Person

New Journal of Physics
issn: 13672630
type: Collection

HTML Summary of #91696 Automatic Information Extraction from Electronic Documents using Machine Learning
format: text/html
primary topic: Automatic Information Extraction from Electronic Documents using Machine Learning

Automatic Information Extraction from Electronic Documents using Machine Learning (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Kamaleson_SGAI2021_preprint.pdf
has part: Kamaleson_SGAI2021_preprint.pdf_nocoversheet
has file: Kamaleson_SGAI2021_preprint.pdf
has file: Kamaleson_SGAI2021_preprint.pdf_nocoversheet
type: Document

Automatic Information Extraction from Electronic Documents using Machine Learning (Other)
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Automatic Information Extraction from Electronic Documents using Machine Learning (Other)
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Automatic Information Extraction from Electronic Documents using Machine Learning (Other)
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Automatic Information Extraction from Electronic Documents using Machine Learning (Other)
is version of: Automatic Information Extraction from Electronic Documents using Machine Learning (PDF)
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Automatic Information Extraction from Electronic Documents using Machine Learning (Other)
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Automatic Information Extraction from Electronic Documents using Machine Learning
abstract: The digital processing of electronic documents is widely exploited across many domains to improve the efficiency of information extraction. However, paper documents are still largely being used in practice. In order to process such documents, a manual procedure is used to inspect them and extract the values of interest. As this task is monotonous and time consuming, it is prone to introduce human errors during the process. In this paper, we present an efficient and robust system that automates the aforementioned task by using a combination of machine learning techniques: optical character recognition, object detection and image processing techniques. This not only speeds up the process but also improves the accuracy of extracted information compared to a manual procedure.
author list: authors
status: peerReviewed
status: published
volume: 13101
has version: Automatic Information Extraction from Electronic Documents using Machine Learning (PDF)
creator: Dominique Chu
creator: Fernando E.B. Otero
creator: Nishanthan Kamaleson
date: 2021-12-06
is part of: repository
is part of: Lecture Notes in Computer Science
subject: Q335 Artificial intelligence
has accepted: Automatic Information Extraction from Electronic Documents using Machine Learning (PDF)
has document: Automatic Information Extraction from Electronic Documents using Machine Learning (PDF)
has document: Automatic Information Extraction from Electronic Documents using Machine Learning (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

41st SGAI International Conference on Artificial Intelligence
type: Conference
type: Event

Cambridge, England
type: SpatialThing

Dominique Chu
family name: Chu
given name: Dominique
type: Person

Nishanthan Kamaleson
family name: Kamaleson
given name: Nishanthan
type: Person

Lecture Notes in Computer Science
issn: 03029743
type: Collection
name: FC 2021: Financial Cryptography and Data Security. FC 2021 International Workshops
name: The Semantic Web – ISWC 2020 - 19th International Semantic Web Conference
name: International Symposium on Leveraging Applications of Formal Methods ISoLA 2020: Leveraging Applications of Formal Methods, Verification and Validation: Applications
name: Financial Cryptography and Data Security
name: Lecture Notes in Artificial Intelligence

HTML Summary of #91697 Behavioural User Identification from Clickstream Data for Business Improvement
format: text/html
primary topic: Behavioural User Identification from Clickstream Data for Business Improvement

Behavioural User Identification from Clickstream Data for Business Improvement (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Misra_SGAI2021_preprint.pdf
has part: Misra_SGAI2021_preprint.pdf_nocoversheet
has file: Misra_SGAI2021_preprint.pdf
has file: Misra_SGAI2021_preprint.pdf_nocoversheet
type: Document

Behavioural User Identification from Clickstream Data for Business Improvement (Other)
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Behavioural User Identification from Clickstream Data for Business Improvement (Other)
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Behavioural User Identification from Clickstream Data for Business Improvement (Other)
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Behavioural User Identification from Clickstream Data for Business Improvement (Other)
is version of: Behavioural User Identification from Clickstream Data for Business Improvement (PDF)
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Behavioural User Identification from Clickstream Data for Business Improvement
abstract: One of the key elements for businesses to succeed is to get to know their customers. Traditionally this task has been performed through user studies, however, over the last few years clickstream analysis has been proposed as a potential way of conducting automated behavioural studies at scale. In this paper, we explore the use of a recently-proposed unsupervised data-mining technique to identify common behavioural patterns from a clickstream and use them to automatically group users into clusters. In particular, our goal is to validate the potential of behavioural user identification with respect to a key business-level objective. We consider to which extent it is possible to link overall user in-application behaviour to the completion of a particular business-relevant action. Identifying behavior patterns resulting in such business-relevant actions can enable businesses to make changes to their interface, target relevant user groups or trigger actionable insights, all with the objective of maximizing the likelihood of preferable user actions. We analyzed a realworld dataset from a mobile application deployed on both the iOS and Android platforms for this experiment.
author list: authors
status: peerReviewed
status: published
has version: Behavioural User Identification from Clickstream Data for Business Improvement (PDF)
creator: Fernando E.B. Otero
creator: Gaurav Misra
creator: Matteo Migliavacca
date: 2021-12-06
is part of: repository
subject: Q335 Artificial intelligence
has accepted: Behavioural User Identification from Clickstream Data for Business Improvement (PDF)
has document: Behavioural User Identification from Clickstream Data for Business Improvement (PDF)
has document: Behavioural User Identification from Clickstream Data for Business Improvement (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

Forty-first SGAI International Conference on Artificial Intelligence
type: Conference
type: Event

Gaurav Misra
family name: Misra
given name: Gaurav
type: Person

Matteo Migliavacca
family name: Migliavacca
given name: Matteo
type: Person

HTML Summary of #92356 "It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices
format: text/html
primary topic: "It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices

"It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices (PDF)
has part: CHI-2022-Smart-Home-Security.pdf
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"It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices (Other)
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"It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices (Other)
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"It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices (Other)
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"It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices (Other)
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"It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices (Other)
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"It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices
abstract: This study considers how well an autoethnographic diary study helps as a method to explore why families might struggle in the application of strong and cohesive cyber security measures within the smart home. Combining two human-computer interaction (HCI) research methods - the relatively unstructured process of autoethnography and the more structured diary study - allowed the first author to reflect on the differences between researchers or experts, and everyday users. Having a physical set of structured diary prompts allowed for a period of 'thinking as writing', enabling reflection upon how having expert knowledge may or may not translate into useful knowledge when dealing with everyday life. This is particularly beneficial in the context of home cyber security use, where first-person narratives have not made up part of the research corpus to date, despite a consistent recognition that users struggle to apply strong cyber security methods in personal contexts. The framing of the autoethnographic diary study contributes a very simple, but extremely powerful, tool for anyone with more knowledge than the average user of any technology, enabling the expert to reflect upon how they themselves have fared when using, understanding and discussing the technology in daily life.
author list: authors
status: forthcoming
status: peerReviewed
has version: "It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices (PDF)
creator: Jason R. C. Nurse
creator: Shujun Li
creator: Sarah Turner
date: 2021-12-02
is part of: repository
subject: BF41 Psychology and philosophy
subject: H Social Sciences
subject: HM Sociology
subject: QA Mathematics (inc Computing science)
has accepted: "It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices (PDF)
has document: "It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices (PDF)
has document: "It was hard to find the words": Using an Autoethnographic Diary Study to Understand the Difficulties of Smart Home Cyber Security Practices (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

BF41 Psychology and philosophy
type: Concept

HM Sociology
type: Concept

2022 ACM CHI Conference on Human Factors in Computing Systems
type: Conference
type: Event

New Orleans, USA
type: SpatialThing

Sarah Turner
family name: Turner
given name: Sarah
type: Person

HTML Summary of #92302 On the Effectiveness of Ransomware Decryption Tools
format: text/html
primary topic: On the Effectiveness of Ransomware Decryption Tools

On the Effectiveness of Ransomware Decryption Tools (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

On the Effectiveness of Ransomware Decryption Tools (Other)
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On the Effectiveness of Ransomware Decryption Tools (Other)
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On the Effectiveness of Ransomware Decryption Tools (Other)
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On the Effectiveness of Ransomware Decryption Tools (Other)
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On the Effectiveness of Ransomware Decryption Tools (Other)
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On the Effectiveness of Ransomware Decryption Tools (PDF)
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On the Effectiveness of Ransomware Decryption Tools (Other)
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On the Effectiveness of Ransomware Decryption Tools (Other)
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On the Effectiveness of Ransomware Decryption Tools (Other)
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On the Effectiveness of Ransomware Decryption Tools (Other)
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On the Effectiveness of Ransomware Decryption Tools (Other)
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On the Effectiveness of Ransomware Decryption Tools
abstract: Ransomware is a type of malware that locks out its victim’s access to their device or data – typically by encrypting files – and demands payment in exchange of restoring access. To fight the increasing threat posed by ransomware, security researchers and practitioners have developed decryption tools. These tools aim to help victims in recovering their data, generally by decrypting the compromised files without paying the ransom. Unfortunately, there has been minimal research on the effectiveness of decryption and recovery tools. There is a scant understanding regarding the extent to which these tools can actually recover compromised data. The research presented in this work aims to cover this gap by providing an empirical study on these tools’ effectiveness – in terms of decrypting and restoring compromised data. For doing so, we tested a total of 78 tools created by 11 security companies against 61 ransomware samples. That allows us to present an in-depth critical discussion of the real effectiveness of the recovery tools studied. We found that nearly half of the tools fail to recover compromised data satisfactorily. We conclude that there is still a lot of work to be done before these tools can make a real positive impact on ransomware victims. We finish our work by offering some additional insights and recommendations that could help in improving the effectiveness of ransomware decryption tools.
author list: authors
status: peerReviewed
status: published
volume: 111
has version: On the Effectiveness of Ransomware Decryption Tools (PDF)
creator: Budi Arief
creator: Burak Filiz
creator: Julio C. Hernandez-Castro
creator: Orcun Cetin
date: 2021-12
is part of: repository
is part of: Computers & Security
subject: QA Mathematics (inc Computing science)
has accepted: On the Effectiveness of Ransomware Decryption Tools (PDF)
has document: On the Effectiveness of Ransomware Decryption Tools (PDF)
has document: On the Effectiveness of Ransomware Decryption Tools (Other)
has published: On the Effectiveness of Ransomware Decryption Tools (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Budi Arief
family name: Arief
given name: Budi
type: Person

Burak Filiz
family name: Filiz
given name: Burak
type: Person

Julio C. Hernandez-Castro
family name: Hernandez-Castro
given name: Julio C.
type: Person
given name: J.
name: J. Hernandez-Castro
given name: Julio
name: Julio Hernandez-Castro

Orcun Cetin
family name: Cetin
given name: Orcun
type: Person

HTML Summary of #91242 VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures
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primary topic: VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures

VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures (PDF)
type: Document

VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures (Other)
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VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures (Other)
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VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures (Other)
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VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures (Other)
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VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures (Other)
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VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures
abstract: The paper introduces a multimodal affective dataset named VREED (VR Eyes: Emotions Dataset) in which emotions were triggered using immersive 360° Video-Based Virtual Environments (360-VEs) delivered via Virtual Reality (VR) headset. Behavioural (eye tracking) and physiological signals (Electrocardiogram (ECG) and Galvanic Skin Response (GSR)) were captured, together with self-reported responses, from healthy participants (n=34) experiencing 360-VEs (n=12, 1-3 min each) selected through focus groups and a pilot trial. Statistical analysis confirmed the validity of the selected 360-VEs in eliciting the desired emotions. Preliminary machine learning analysis was carried out, demonstrating state-of-the-art performance reported in affective computing literature using non-immersive modalities. VREED is among the first multimodal VR datasets in emotion recognition using behavioural and physiological signals. VREED is made publicly available on Kaggle 1. We hope that this contribution encourages other researchers to utilise VREED further to understand emotional responses in VR and ultimately enhance VR experiences design in applications where emotional elicitation plays a key role, i.e. healthcare, gaming, education, etc.
author list: authors
issue: 4
status: peerReviewed
status: published
volume: 5
has version: VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures (PDF)
creator: Chee Siang Ang
creator: Luma Tabbaa
creator: Md. Moinul Hossain
creator: Ryan Searle
creator: Saber Mirzaee
date: 2021-12
is part of: repository
subject: QA76.9.H85 Human computer interaction
has accepted: VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures (PDF)
has document: VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures (PDF)
has document: VREED: Virtual Reality Emotion Recognition Dataset using Eye Tracking & Physiological Measures (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Chee Siang Ang
family name: Ang
given name: Chee Siang
type: Person

Maxine Glancy
family name: Glancy
given name: Maxine
type: Person

Jittrapol Intarasirisawat
family name: Intarasirisawat
given name: Jittrapol
type: Person

Luma Tabbaa
family name: Tabbaa
given name: Luma
type: Person

Md. Moinul Hossain
family name: Hossain
given name: Md. Moinul
type: Person

Ryan Searle
family name: Searle
given name: Ryan
type: Person

Saber Mirzaee
family name: Mirzaee
given name: Saber
type: Person

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
type: Collection

HTML Summary of #91977 Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education
format: text/html
primary topic: Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education

Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education (PDF)
type: Document

Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education (Other)
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Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education (Other)
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Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education (Other)
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Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education (Other)
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Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education (Other)
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Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education
abstract: The cybersecurity skills shortage and gap are well-documented issues that are currently having an impact on national labour markets worldwide. While various initiatives related to cybersecurity skills have been proposed and multiple actions have been launched to address the problems, the shortage and gap persist. ENISA has a long tradition of studies and programmes that have attempted to mitigate similar cybersecurity issues. In an effort to increase the EU’s future cybersecurity workforce and ensure the availability of appropriately trained professionals, ENISA has investigated the problem further. In this report, ENISA contributes to both practice and research on the cybersecurity skills shortage and gap in two distinctive areas. Firstly, it provides an overview of the current supply of cybersecurity skills in Europe through an analysis of data gathered and generated by the recently established Cybersecurity Higher Education Database (CyberHEAD). Secondly, it describes the policy approaches adopted by EU Member States in their quest to increase and sustain their national cybersecurity workforces. These approaches have been classified and analysed based on objectives defined by ENISA’s National Capabilities Assessment Framework (NCAF), namely cybersecurity awareness, training, challenges and exercises. Here we note that this report focuses on the role of the higher education sector in addressing the EU cybersecurity skills shortage and gap, and therefore vocational or lower forms of education in cybersecurity related topics are not considered as core parts of this study. Based on the data collected and analysed under the two areas mentioned above, this report makes five recommendations to address the EU cybersecurity skills shortage and gap: - Increase enrolments and eventually graduates in cybersecurity programmes through: -- the diversification of the Higher Educational Institutes’ (HEIs) curricula in terms of content, levels and language. -- the provision of sch…
author list: authors
status: peerReviewed
status: published
has version: Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education (PDF)
creator: Jason R. C. Nurse
date: 2021-11-24
is part of: repository
subject: H Social Sciences
subject: QA Mathematics (inc Computing science)
subject: T Technology
has document: Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education (PDF)
has document: Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education (Other)
has published: Addressing the EU Cybersecurity Skills Shortage and Gap Through Higher Education (PDF)
type: Article
type: EPrint
type: OtherEPrint

European Union Agency for Cybersecurity (ENISA)
type: Organization

Fabio Di Franco
family name: Di Franco
given name: Fabio
type: Person

Konstantinos Adamos
family name: Adamos
given name: Konstantinos
type: Person

Athanasios Grammatopoulos
family name: Grammatopoulos
given name: Athanasios
type: Person

European Union Agency for Cybersecurity (ENISA) Report
type: Collection

HTML Summary of #91288 Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification
format: text/html
primary topic: Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification

Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification (PDF)
has part: FWAdaBoostSOFIES_v1.pdf
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Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification (Other)
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Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification (Other)
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Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification (Other)
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Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification (Other)
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Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification (Other)
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Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification
abstract: Adaptive boosting (AdaBoost) is a widely used technique to construct a stronger ensemble classifier by combining a set of weaker ones. Zero-order fuzzy inference systems (FISs) are very powerful prototype-based predictive models for classification, offering both great prediction precision and high user-interpretability. However, the use of zero-order FISs as base classifiers in AdaBoost has not been explored yet. To bridge the gap, in this paper, a novel multi-class fuzzily weighted AdaBoost (FWAdaBoost)-based ensemble system with self-organising fuzzy inference system (SOFIS) as the ensemble component is proposed. To better incorporate SOFIS, FWAdaBoost utilises the confidence scores produced by SOFIS in both sample weight updating and ensemble output generation, resulting in more accurate classification boundaries and greater prediction precision. Numerical examples on a wide range of benchmark classification problems demonstrate the efficacy of the proposed approach.
author list: authors
status: peerReviewed
status: published
has version: Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification (PDF)
creator: Plamen Angelov
creator: Xiaowei Gu
date: 2021-11-13
is part of: repository
is part of: IEEE Transactions on Fuzzy Systems
subject: QA Mathematics (inc Computing science)
has accepted: Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification (PDF)
has document: Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification (PDF)
has document: Multi-Class Fuzzily Weighted Adaptive Boosting-based Self-Organising Fuzzy Inference Ensemble Systems for Classification (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

IEEE Transactions on Fuzzy Systems
issn: 10636706
type: Collection

HTML Summary of #92680 Formal verification of neural agents in non-deterministic environments
format: text/html
primary topic: Formal verification of neural agents in non-deterministic environments

Formal verification of neural agents in non-deterministic environments (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Akintunde2021_Article_FormalVerificationOfNeuralAgen.pdf
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Formal verification of neural agents in non-deterministic environments (Other)
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Formal verification of neural agents in non-deterministic environments (Other)
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Formal verification of neural agents in non-deterministic environments (Other)
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Formal verification of neural agents in non-deterministic environments (Other)
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Formal verification of neural agents in non-deterministic environments (Other)
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Formal verification of neural agents in non-deterministic environments
abstract: We introduce a model for agent-environment systems where the agents are implemented via feed-forward ReLU neural networks and the environment is non-deterministic. We study the verification problem of such systems against CTL properties. We show that verifying these systems against reachability properties is undecidable. We introduce a bounded fragment of CTL, show its usefulness in identifying shallow bugs in the system, and prove that the verification problem against specifications in bounded CTL is in coNEXPTIME and PSPACE-hard. We introduce sequential and parallel algorithms for MILP-based verification of agent-environment systems, present an implementation, and report the experimental results obtained against a variant of the VerticalCAS use-case and the frozen lake scenario.
author list: authors
issue: 1
status: peerReviewed
status: published
volume: 36
has version: Formal verification of neural agents in non-deterministic environments (PDF)
creator: Elena Botoeva
date: 2021-11-09
is part of: repository
is part of: Autonomous Agents and Multi-Agent Systems
subject: QA 75 Electronic computers. Computer science
has document: Formal verification of neural agents in non-deterministic environments (PDF)
has document: Formal verification of neural agents in non-deterministic environments (Other)
has published: Formal verification of neural agents in non-deterministic environments (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Alessio Lomuscio
family name: Lomuscio
given name: Alessio
type: Person

Michael E. Akintunde
family name: Akintunde
given name: Michael E.
type: Person

Panagiotis Kouvaros
family name: Kouvaros
given name: Panagiotis
type: Person

Elena Botoeva
family name: Botoeva
given name: Elena
type: Person

Autonomous Agents and Multi-Agent Systems
issn: 13872532
type: Collection

HTML Summary of #90995 Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach
format: text/html
primary topic: Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach

Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (Other)
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Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (Other)
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Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (Other)
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Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (Other)
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Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (Other)
has part: indexcodes.txt
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type: Document

Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: 3487351.3492716.pdf
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type: Document

Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (Other)
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Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (Other)
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Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (Other)
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Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (Other)
has part: small.jpg
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Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (PDF)
is version of: Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (PDF)
is volatile version of: Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (PDF)
type: Document

Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach
abstract: Many cyber security experts, organizations, and cyber criminals are active users on online social networks (OSNs). Therefore, detecting cyber security related accounts on OSNs and monitoring their activities can be very useful for different purposes such as cyber threat intelligence, detecting and preventing cyber attacks and online harms on OSNs, and evaluating the effectiveness of cyber security awareness activities on OSNs. In this paper, we report our work on developing several machine learning based classifiers for detecting cyber security related accounts on Twitter, including a base-line classifier for detecting cyber security related accounts in general, and three sub-classifiers for detecting three subsets of cyber security related accounts (individuals, hackers, and academia). To train and test the classifiers, we followed a more systemic approach (based on a cyber security taxonomy, real-time sampling of tweets, and crowdsourcing) to construct a dataset of cyber security related accounts with multiple tags assigned to each account. For each classifier, we considered a richer set of features than those used in past studies. Among five machine learning models tested, the Random Forest model achieved the best performance: 93% for the base-line classifier, 88-91% for the three sub-classifiers. We also studied feature reduction of the base-line classifier and showed that using just six features we can already achieve the same performance.
author list: authors
status: peerReviewed
status: published
has version: Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (PDF)
creator: Mohamad Imad Mahaini
creator: Shujun Li
date: 2021-11-08
is part of: repository
subject: Q Science
has accepted: Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (PDF)
has document: Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (PDF)
has document: Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (Other)
has published: Detecting Cyber Security Related Twitter Accounts and Different Sub-Groups: A Multi-Classifier Approach (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

Q Science
type: Concept

https://kar.kent.ac.uk/id/event/ext-fa94bca1e1ee51e19de50e18d6403757
title: The 2nd International Symposium on Foundations of Open Source Intelligence and Security Informatics (FOSINT-SI 2021), co-located with the 13th IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2021)
type: Conference
type: Event

Virtual Event, Netherlands
type: SpatialThing

Mohamad Imad Mahaini
family name: Mahaini
given name: Mohamad Imad
type: Person

HTML Summary of #90398 A self-adaptive fuzzy learning system for streaming data prediction
format: text/html
primary topic: A self-adaptive fuzzy learning system for streaming data prediction

A self-adaptive fuzzy learning system for streaming data prediction
abstract: In this paper, a novel self-adaptive fuzzy learning (SAFL) system is proposed for streaming data prediction. SAFL self-learns from data streams a predictive model composed of a set of prototype-based fuzzy rules, with each of which representing a certain local data distribution, and continuously self-evolves to follow the changing data patterns in non-stationary environments. Unlike conventional evolving fuzzy systems, both the fuzzy inference and consequent parameter learning schemes utilised by SAFL are simplified so that only a small number of selected fuzzy rules within the rule base are involved in system output generation and parameter updating during a learning cycle. Such simplification not only significantly reduces the system’s computational complexity but also increases its prediction precision. In addition, both theoretical and empirical investigations guarantee the stability of the resulting SAFL. Comparative experimental studies on a wide variety of benchmark and real-world problems demonstrate that SAFL is able to learn from streaming data in a highly efficient manner and to make predictions with a great accuracy, revealing the effectiveness and validity of the proposed approach.
author list: authors
status: peerReviewed
status: published
volume: 579
creator: Xiaowei Gu
date: 2021-11-01
is part of: repository
is part of: Information Sciences
subject: QA 76 Software, computer programming,
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Qiang Shen
family name: Shen
given name: Qiang
type: Person

HTML Summary of #92304 Industrialising Blackmail: Privacy Invasion Based IoT Ransomware
format: text/html
primary topic: Industrialising Blackmail: Privacy Invasion Based IoT Ransomware

Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (PDF)
type: Document

Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (Other)
has part: indexcodes.txt
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type: Document

Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (Other)
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Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (Other)
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Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (Other)
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Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (Other)
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Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (PDF)
type: Document

Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (Other)
is version of: Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (PDF)
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Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (Other)
is version of: Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (PDF)
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Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (Other)
is version of: Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (PDF)
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Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (Other)
is version of: Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (PDF)
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Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (Other)
is index codes version of: Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (PDF)
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type: Document

Industrialising Blackmail: Privacy Invasion Based IoT Ransomware
abstract: Ransomware (malware that threatens to lock or publish victims’ assets unless a ransom is paid) has become a serious security threat, targeting individual users, companies and even governments, causing significant damage, disruption and cost. Instances of ransomware have also been observed stealing private data and blackmailing their victims. Worryingly, the prevalence of Internet of Things (IoT) devices and the massive amount of personal data that they collect have opened up another avenue of attack. The main aim of this paper is to determine whether privacy invasion based ransomware would be a viable vector for attackers to use on IoT devices. The secondary aim is to identify countermeasures that can be implemented to prevent such attacks from being used. To accomplish these aims, we examined how private data accessible via IoT devices could be obtained, processed and managed by a ransomware attacker. We identified a number of data sources on IoT devices that can be used to access private data, such as audio and video feeds. We then investigated methods to interpret such data in order to blackmail the device’s owner. We then produced proof of concept malware for multiple IoT devices, including an external “collator” that manages the valuable data collected, demonstrating that an attack could be performed at scale. This research shows that attackers can use the functionality of an infected device to invade the privacy of the device’s owner, as part of a ransomware attack. We have demonstrated that, given suitable infrastructure, attackers would be able to ransom users for values higher than the cost of the compromised device, as well as heavily damage the trust in the device itself, which would cause further negative impact on the device manufacturer. Finally, we highlight the need for proactive measures to deter this style of attack by applying the suggested countermeasures.
author list: authors
editor list: editors
status: peerReviewed
status: published
volume: 13115
has version: Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (PDF)
creator: Budi Arief
creator: Calvin Brierley
creator: David J. Barnes
creator: Julio C. Hernandez-Castro
date: 2021-11
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA Mathematics (inc Computing science)
has accepted: Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (PDF)
has document: Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (PDF)
has document: Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (Other)
has published: Industrialising Blackmail: Privacy Invasion Based IoT Ransomware (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

The 26th Nordic Conference on Secure IT Systems (NordSec 2021)
type: Conference
type: Event

Tampere University (Virtual Event)
type: SpatialThing

A. Michalas
family name: Michalas
given name: A.
type: Person

B.B. Brumley
family name: Brumley
given name: B.B.
type: Person

Calvin Brierley
family name: Brierley
given name: Calvin
type: Person

David J. Barnes
family name: Barnes
given name: David J.
type: Person

N. Tuveri
family name: Tuveri
given name: N.
type: Person

HTML Summary of #92152 Real-time identification of frequency-hopping millimeter-wave signals using photonic time stretch and reservoir computing
format: text/html
primary topic: Real-time identification of frequency-hopping millimeter-wave signals using photonic time stretch and reservoir computing

Real-time identification of frequency-hopping millimeter-wave signals using photonic time stretch and reservoir computing
abstract: Real-time identification of frequency-hopping millimeter-wave (mm-wave) signals is a real challenge, due to the high demand for detection bandwidth and processing speed. In this paper, we propose and demonstrate a novel microwave photonic approach to identifying frequency hopping of mm-wave signals based on the concepts of photonic time stretch (PTS) and Reservoir Computing (RC). The PTS scheme allows the modulated signal to be slowed down hence reducing the required detection bandwidth. The developed RC model offers unique features such as being more efficient and time saving in temporal data pattern classification than traditional methods. According to the simulation, RC can recognize the hopping instants and give a precise hop timing estimation in real-time.
author list: authors
status: peerReviewed
status: published
creator: Chao Wang
date: 2021-10-19
is part of: repository
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

SPIE/COS Photonics Asia
type: Conference

Yuanli Yue
family name: Yue
given name: Yuanli
type: Person

Ming Li
family name: Li
given name: Ming
type: Person

Yue Feng
family name: Feng
given name: Yue
type: Person

Ailing Zhang
family name: Zhang
given name: Ailing
type: Person

Bahram Jalali
family name: Jalali
given name: Bahram
type: Person

Chao Wang
family name: Wang
given name: Chao
type: Person

Shuo Li
family name: Li
given name: Shuo
type: Person

Mohammad Hossein Asghari
family name: Asghari
given name: Mohammad Hossein
type: Person

HTML Summary of #91011 Constructed temporal features for longitudinal classification of human ageing data
format: text/html
primary topic: Constructed temporal features for longitudinal classification of human ageing data

Constructed temporal features for longitudinal classification of human ageing data (PDF)
has part: ICHI-2021-Ribeiro-post-review.pdf
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has file: ICHI-2021-Ribeiro-post-review.pdf_nocoversheet
type: Document

Constructed temporal features for longitudinal classification of human ageing data (Other)
is index codes version of: Constructed temporal features for longitudinal classification of human ageing data (PDF)
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Constructed temporal features for longitudinal classification of human ageing data (Other)
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Constructed temporal features for longitudinal classification of human ageing data (Other)
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Constructed temporal features for longitudinal classification of human ageing data (Other)
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Constructed temporal features for longitudinal classification of human ageing data (Other)
is version of: Constructed temporal features for longitudinal classification of human ageing data (PDF)
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Constructed temporal features for longitudinal classification of human ageing data
abstract: Standard classification algorithms ignore the time-related information contained in longitudinal data, as they do not consider the time indexes of the features’ different measurements. Accounting for temporal patterns may improve the algorithms’ performance, when applied to longitudinal data. Representing temporal patterns in the data itself has the advantage that those patterns are generic enough to be used with existing powerful classification algorithms, without requiring the design of new and more complex algorithms to exploit them. In this article, we propose 6 different types of constructed temporal features (3 of them being novel contributions), calculated from the values of the different feature measurements taken over time, and investigate whether adding those constructed temporal features to the original longitudinal dataset improves the classification model’s predictive accuracy. Our experiments involved 20 real-world longitudinal datasets created from a human-ageing study, and showed that the proposed approach of adding the constructed temporal features to the original feature set produced better classifiers overall.
author list: authors
status: peerReviewed
status: published
has version: Constructed temporal features for longitudinal classification of human ageing data (PDF)
creator: Alex A. Freitas
creator: Caio Ribeiro
date: 2021-10-17
is part of: repository
subject: Q335 Artificial intelligence
has accepted: Constructed temporal features for longitudinal classification of human ageing data (PDF)
has document: Constructed temporal features for longitudinal classification of human ageing data (PDF)
has document: Constructed temporal features for longitudinal classification of human ageing data (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2021 IEEE 9th International Conference on Healthcare Informatics (ICHI)
type: Conference

Caio Ribeiro
family name: Ribeiro
given name: Caio
type: Person

Proceedings of the 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI)
type: Collection

HTML Summary of #90751 A Novel ICMetric Public Key Framework for Secure Communication
format: text/html
primary topic: A Novel ICMetric Public Key Framework for Secure Communication

A Novel ICMetric Public Key Framework for Secure Communication (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

A Novel ICMetric Public Key Framework for Secure Communication (Other)
is index codes version of: A Novel ICMetric Public Key Framework for Secure Communication (PDF)
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A Novel ICMetric Public Key Framework for Secure Communication (Other)
is version of: A Novel ICMetric Public Key Framework for Secure Communication (PDF)
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A Novel ICMetric Public Key Framework for Secure Communication (Other)
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A Novel ICMetric Public Key Framework for Secure Communication (Other)
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A Novel ICMetric Public Key Framework for Secure Communication (Other)
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A Novel ICMetric Public Key Framework for Secure Communication
abstract: The Integrated Circuit Metric (ICMetric) technology is a novel trust basis that uses the system features to create an identication of a device. The ICMetric of the device is used for the provision of security services, thereby addressing the issue of trust associated with device identity. The ICMetric technology can be adapted to function with varying environments; however, the short length and low entropy of the ICMetric key pose a major threat to applications based on ICMetric. This paper proposes a secure compre-hensive ICMetric based architecture that facilitates asymmetric ICMetric applications for secure services in an end-to-end environment. This novel framework has been designed keeping in mind the construction principles of ICMetric thereby preventing threats that are prevalent in many security schemes. Finally, an empirical evaluation and feasibility has been presented by implementing the proposed framework and doing an extensive security analysis.
author list: authors
status: peerReviewed
status: published
volume: 195
has version: A Novel ICMetric Public Key Framework for Secure Communication (PDF)
creator: Ali Sajjad
creator: Gareth Howells
date: 2021-10-06
is part of: repository
is part of: Journal of Network and Computer Applications
subject: QA 76 Software, computer programming,
has accepted: A Novel ICMetric Public Key Framework for Secure Communication (PDF)
has document: A Novel ICMetric Public Key Framework for Secure Communication (PDF)
has document: A Novel ICMetric Public Key Framework for Secure Communication (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Shahzaib Tahir
family name: Tahir
given name: Shahzaib
type: Person

Ruhma Tahir
family name: Tahir
given name: Ruhma
type: Person

Klaus D. McDonald-Maier
family name: McDonald-Maier
given name: Klaus D.
type: Person

Ali Sajjad
family name: Sajjad
given name: Ali
type: Person

Journal of Network and Computer Applications
issn: 10848045
type: Collection

HTML Summary of #89756 Integrate-and-Fire Neurons for Low-Powered Pattern Recognition
format: text/html
primary topic: Integrate-and-Fire Neurons for Low-Powered Pattern Recognition

Integrate-and-Fire Neurons for Low-Powered Pattern Recognition (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Integrate-and-Fire Neurons for Low-Powered Pattern Recognition (Other)
has part: indexcodes.txt
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Integrate-and-Fire Neurons for Low-Powered Pattern Recognition (Other)
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Integrate-and-Fire Neurons for Low-Powered Pattern Recognition (Other)
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Integrate-and-Fire Neurons for Low-Powered Pattern Recognition (Other)
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Integrate-and-Fire Neurons for Low-Powered Pattern Recognition (Other)
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Integrate-and-Fire Neurons for Low-Powered Pattern Recognition
abstract: Embedded systems acquire information about the real world from sensors and process it to make decisions and/or for transmission. In some situations, the relationship between the data and the decision is complex and/or the amount of data to transmit is large (e.g. in biologgers). Artificial Neural Networks (ANNs) can efficiently detect patterns in the input data which makes them suitable for decision making or compression of information for data transmission. However, ANNs require a substantial amount of energy which reduces the lifetime of battery-powered devices. Therefore, the use of Spiking Neural Networks can improve such systems by providing a way to efficiently process sensory data without being too energy-consuming. In this work, we introduce a low-powered neuron model called Integrate-and-Fire which exploits the charge and discharge properties of the capacitor. Using parallel and series RC circuits, we developed a trainable neuron model that can be expressed in a recurrent form. Finally, we trained its simulation with an artificially generated dataset of dog postures and implemented it as hardware that showed promising energetic properties.
author list: authors
status: nonPeerReviewed
status: published
has version: Integrate-and-Fire Neurons for Low-Powered Pattern Recognition (PDF)
creator: Dominique Chu
creator: Florian Bacho
date: 2021-10-05
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA 76 Software, computer programming,
has accepted: Integrate-and-Fire Neurons for Low-Powered Pattern Recognition (PDF)
has document: Integrate-and-Fire Neurons for Low-Powered Pattern Recognition (PDF)
has document: Integrate-and-Fire Neurons for Low-Powered Pattern Recognition (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

20th International Conference on Artificial Intelligence and Soft Computing
type: Conference
type: Event

Zakopane, Poland
type: SpatialThing

Florian Bacho
family name: Bacho
given name: Florian
type: Person

HTML Summary of #90779 Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence
format: text/html
primary topic: Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence

Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence (PDF)
license: http://creativecommons.org/licenses/by-sa/3.0/
type: Document

Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence (Other)
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Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence (Other)
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Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence (Other)
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Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence (Other)
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Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence (Other)
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Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence
THS: Peter Rodgers
abstract: In recent years, the number of cyber-attacks that affect critical infrastructures such as health, telecommunications and banks has been rapidly increasing. Sharing Cyber Threat Intelligence (CTI) is being encouraged and mandated as a way of improving overall cyber intelligence and defence, but its take up is slow. Organisations may well be justified in perceiving risks in sharing and disclosing cyber incident information, but they tend to express such worries in broad and vague terms. There are risks of breaching regulations and laws regarding privacy. With laws and regulations such as the General Data Protection Regulation (GDPR), the managers of CTI datasets need clear guidance on how and when it is legal to share such information. This thesis supports the decision of sharing CTI datasets as it proposes a novel contribution through a detailed understanding of which information in cyber incident reports requires protection against specific threats with assessed severity. It presents a specific and granular analysis of the risks in cyber incident information sharing, looking in detail at what information may be contained in incident reports and which specific risks are associated with its disclosure. It provides a set of guidelines for the disciplined use of the STIX incident model in order to reduce information security risk. Then, it proposes a quantitative risk model to assess the risk of sharing CTI datasets enabled by sharing with different entities in various situations. The evaluation of the cyber incident model analysis and the quantative risk model has been validated by means of experts' opinions. As a final contribution, this thesis defines the impact that GDPR legal aspects may have on the sharing of CTI that helps technical people and CTI managers with limited legal expertise to encompass legal consideration before sharing CTI datasets. In addition, it recommends protection levels for sharing CTI to ensure compliance with the GDPR.
author list: authors
degree: phd
status: published
creator: Adham Albakri
date: 2021-10
is part of: repository
has document: Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence (PDF)
has document: Managing Cybersecurity and Privacy Risks of Cyber Threat intelliegence (Other)
type: Article
type: Thesis
type: EPrint
type: ThesisEPrint

Adham Albakri
family name: Albakri
given name: Adham
type: Person

HTML Summary of #90399 Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN)
format: text/html
primary topic: Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN)

Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN) (PDF)
has part: Finger_Vein_Image_Deblurring_Using_Neighbors_based_Binary_GAN_NB_GAN_20210701_last.pdf
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Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN) (Other)
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Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN) (Other)
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Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN) (Other)
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Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN) (Other)
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Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN) (Other)
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type: Document

Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN)
abstract: Vein contraction and venous compression typically caused by low temperature and excessive placement pressure can blur the captured finger vein images and severely impair the quality of extracted features. To improve the quality of captured finger vein image, this paper proposes a 26-layer generator network constrained by Neighbors-based Binary Patterns (NBP) texture loss to recover the clear image (guessing the original clear image). Firstly, by analyzing various types and degrees of blurred finger vein images captured in real application scenarios, a method to mathematically model the local and global blurriness using a pair of defocused and mean blur kernels is proposed. By iteratively and alternatively convoluting clear images with both kernels in a multi-scale window, a polymorphic blur training set is constructed for network training. Then, NBP texture loss is used for training the generator to enhance the deblurring ability of the network on images. Lastly, a novel network structure is proposed to retain more vein texture feature information, and two residual connections are added on both sides of the residual module of the 26-layer generator network to prevent degradation and overfitting. Theoretical analysis and simulation results show that the proposed neighbors-based binary-GAN (NB-GAN) can achieve better deblurring performance than the the-state-of-the-art approaches.
author list: authors
status: peerReviewed
status: published
has version: Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN) (PDF)
creator: Xiaowei Gu
date: 2021-09-23
is part of: repository
is part of: IEEE Transactions on Emerging Topics in Computational Intelligence
subject: QA 75 Electronic computers. Computer science
has accepted: Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN) (PDF)
has document: Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN) (PDF)
has document: Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN) (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

YuDong Yao
family name: Yao
given name: YuDong
type: Person

Weiping Ding
family name: Ding
given name: Weiping
type: Person

HuaXia Wang
family name: Wang
given name: HuaXia
type: Person

Jing He
family name: He
given name: Jing
type: Person

GuoDong Zhao
family name: Zhao
given name: GuoDong
type: Person

Lei Shen
family name: Shen
given name: Lei
type: Person

IEEE Transactions on Emerging Topics in Computational Intelligence
issn: 2471285X
type: Collection

HTML Summary of #88015 Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker
format: text/html
primary topic: Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker

Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker (PDF)
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Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker (Other)
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Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker (Other)
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Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker (Other)
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Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker (Other)
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Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker (Other)
has part: indexcodes.txt
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Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker
abstract: Active inference is a state-of-the-art framework in neuroscience that offers a unified theoryof brain function. It is also proposed as a framework for planning in AI. Unfortunately, thecomplex mathematics required to create new models — can impede application of activeinference in neuroscience and AI research. This paper addresses this problem by providinga complete mathematical treatment of the active inference framework — in discrete timeand state spaces — and the derivation of the update equations for any new model. Weleverage the theoretical connection between active inference and variational message passingas describe by John Winn and Christopher M. Bishop in 2005. Since, variational messagepassing is a well-defined methodology for deriving Bayesian belief update equations, thispaper opens the door to advanced generative models for active inference. We show thatusing a fully factorized variational distribution simplifies the expected free energy — that furnishes priors over policies — so that agents seek unambiguous states. Finally, we considerfuture extensions that support deep tree searches for sequential policy optimisation — basedupon structure learning and belief propagation.
author list: authors
issue: 10
status: peerReviewed
status: published
volume: 33
has version: Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker (PDF)
creator: Howard Bowman
creator: Marek Grześ
date: 2021-09-16
is part of: repository
is part of: Neural Computation
subject: QA 75 Electronic computers. Computer science
has accepted: Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker (PDF)
has document: Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker (PDF)
has document: Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

MIT Press
type: Organization

Théophile Champion
family name: Champion
given name: Théophile
type: Person

Howard Bowman
family name: Bowman
given name: Howard
type: Person

Marek Grześ
family name: Grześ
given name: Marek
type: Person
family name: Grzes
name: Marek Grzes

Neural Computation
issn: 08997667
type: Collection

HTML Summary of #90259 The Humble Creative Machine
format: text/html
primary topic: The Humble Creative Machine

The Humble Creative Machine (PDF)
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The Humble Creative Machine (Other)
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The Humble Creative Machine (Other)
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The Humble Creative Machine (Other)
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The Humble Creative Machine (Other)
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The Humble Creative Machine (Other)
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The Humble Creative Machine
abstract: In this paper, we present a fresh perspective at co- creativity - using human development as a blueprint, we argue that fostering human creativity is a natural evolu- tion of creative machines. We introduce the notion of a “humble” creative machine - one that is less concerned with demonstrating its own independence, and instead uses its (potentially advanced) creative abilities to cul- tivate human creativity. We present characteristics of Humble Creative Machines and offer examples of ex- isting (almost) humble machines.
author list: authors
status: peerReviewed
status: published
has version: The Humble Creative Machine (PDF)
creator: Anna Jordanous
creator: Christopher Cassion
creator: Margareta Ackerman
date: 2021-09-14
is part of: repository
subject: Q335 Artificial intelligence
subject: QA76.9.H85 Human computer interaction
subject: QA76.76.I59 Interactive media, hypermedia
subject: QA 76 Software, computer programming,
has document: The Humble Creative Machine (PDF)
has document: The Humble Creative Machine (Other)
has published: The Humble Creative Machine (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

QA76.76.I59 Interactive media, hypermedia
type: Concept

Twelfth International Conference on Computational Creativity, ICCC’21
type: Conference
type: Event

Mexico City, Mexico
type: SpatialThing

Association of Computational Creativity
type: Organization

Anna Jordanous
family name: Jordanous
given name: Anna
type: Person

Christopher Cassion
family name: Cassion
given name: Christopher
type: Person

Margareta Ackerman
family name: Ackerman
given name: Margareta
type: Person

HTML Summary of #90258 The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21)
format: text/html
primary topic: The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21)

The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21) (PDF)
has part: ICCC_2021_paper_89.pdf
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The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21) (Other)
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The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21) (Other)
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The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21) (Other)
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The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21) (Other)
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The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21) (Other)
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The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21)
abstract: The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21) took place online during April 2021. As event organisers, we report on the event, its ongoing history at the AISB and its future.
author list: authors
status: peerReviewed
status: published
has version: The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21) (PDF)
creator: Anna Jordanous
creator: Juan Alvarado
date: 2021-09-14
is part of: repository
subject: Q335 Artificial intelligence
subject: QA76.17 History of computing
subject: QA76.575 Multimedia systems
has document: The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21) (PDF)
has document: The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21) (Other)
has published: The 7th AISB Symposium on Computational Creativity (CC@AISB2020/21) (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

QA76.17 History of computing
type: Concept

QA76.575 Multimedia systems
type: Concept

Juan Alvarado
family name: Alvarado
given name: Juan
type: Person

HTML Summary of #90295 A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification
format: text/html
primary topic: A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification

A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification (Other)
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A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification (Other)
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A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification (Other)
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A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification (Other)
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A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification (Other)
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A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification
abstract: Feature selection is a widespread preprocessing step in the data mining field. One of its purposes is to reduce the number of original dataset features to improve a predictive model’s performance. Despite the benefits of feature selection for the classification task, to the best of our knowledge, few studies in the literature address feature selection for the hierarchical classification context. This paper proposes a novel feature selection method based on the general variable neighborhood search metaheuristic, combining a filter and a wrapper step, wherein a global model hierarchical classifier evaluates feature subsets. We used twelve datasets from the proteins and images domains to perform computational experiments to validate the effect of the proposed algorithm on classification performance when using two global hierarchical classifiers proposed in the literature. Statistical tests showed that using our method for feature selection led to predictive performances that were consistently better than or equivalent to that obtained by using all features with the benefit of reducing the number of features needed, which justifies its efficiency for the hierarchical classification scenario.
author list: authors
status: peerReviewed
status: published
volume: 9
has version: A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification (PDF)
creator: Fernando E.B. Otero
creator: Helen C. S. C. Lima
creator: Luiz H.C. Merschmann
creator: Marcone J. F. Souza
date: 2021-09-14
is part of: repository
is part of: IEEE Access
subject: Q335 Artificial intelligence
has document: A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification (PDF)
has document: A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification (Other)
has published: A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Helen C. S. C. Lima
family name: Lima
given name: Helen C. S. C.
type: Person

Luiz H.C. Merschmann
family name: Merschmann
given name: Luiz H.C.
type: Person

Marcone J. F. Souza
family name: Souza
given name: Marcone J. F.
type: Person

IEEE Access
issn: 21693536
type: Collection

HTML Summary of #90750 Robust Device Authentication Using Non-Standard Classification Features
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primary topic: Robust Device Authentication Using Non-Standard Classification Features

Robust Device Authentication Using Non-Standard Classification Features (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Robust Device Authentication_ICITST.pdf
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Robust Device Authentication Using Non-Standard Classification Features (Other)
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Robust Device Authentication Using Non-Standard Classification Features (Other)
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Robust Device Authentication Using Non-Standard Classification Features (Other)
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Robust Device Authentication Using Non-Standard Classification Features (Other)
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Robust Device Authentication Using Non-Standard Classification Features (Other)
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type: Document

Robust Device Authentication Using Non-Standard Classification Features
abstract: This paper investigates the use of novel hardware features derived from the physical and behavioral characteristics of electronic devices to identify such devices uniquely. Importantly, the features examined exhibit non-standard and multimodal distributions which present a significant challenge to model and characterize. Specifically, the potency of four data classification methods is compared whilst employing such characteristics, proposed model Multivariate Gaussian Distribution (MVGD -address multimodality), Logistic Regression (LogR), Linear Discriminant Analysis (LDA), Support Vector Machine (SVM). Performance is measured based on its accuracy, precision, recall and f measure. The experimental results reveal that by addressing multimodal features with proposed model Multivariate Gaussian Distribution classifier, the overall performance is better than the other classifiers.
author list: authors
status: forthcoming
status: peerReviewed
has version: Robust Device Authentication Using Non-Standard Classification Features (PDF)
creator: Pooja Khanna
creator: Supriya Yadav
creator: Gareth Howells
date: 2021-09-09
is part of: repository
subject: QA 76 Software, computer programming,
subject: TA1637 Image processing
has accepted: Robust Device Authentication Using Non-Standard Classification Features (PDF)
has document: Robust Device Authentication Using Non-Standard Classification Features (PDF)
has document: Robust Device Authentication Using Non-Standard Classification Features (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

International Conference for Internet Technology and Secured Transactions
type: Conference
type: Event

London, UK
type: SpatialThing

HTML Summary of #90252 Standardized Crypto-Loans on the Cardano Blockchain
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primary topic: Standardized Crypto-Loans on the Cardano Blockchain

Standardized Crypto-Loans on the Cardano Blockchain (PDF)
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Standardized Crypto-Loans on the Cardano Blockchain (Other)
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Standardized Crypto-Loans on the Cardano Blockchain (Other)
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Standardized Crypto-Loans on the Cardano Blockchain (Other)
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Standardized Crypto-Loans on the Cardano Blockchain (Other)
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Standardized Crypto-Loans on the Cardano Blockchain (Other)
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Standardized Crypto-Loans on the Cardano Blockchain
abstract: Crypto-loans are innovative financial instruments that allow trustless peer-to-peer lending, and potentially providing a safe and convenient source of liquidity for cryptocurrency holders. In this paper we explore a smart contract framework for building standardised crypto-loans using the Marlowe domain-specific language and the ACTUS standard for financial contracts.
author list: authors
status: peerReviewed
status: published
volume: 12676
has version: Standardized Crypto-Loans on the Cardano Blockchain (PDF)
creator: Simon Thompson
date: 2021-09-07
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA 76 Software, computer programming,
has accepted: Standardized Crypto-Loans on the Cardano Blockchain (PDF)
has document: Standardized Crypto-Loans on the Cardano Blockchain (PDF)
has document: Standardized Crypto-Loans on the Cardano Blockchain (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Pablo Lamela Seijas
family name: Seijas
given name: Pablo Lamela
type: Person

Dmytro Kondratiuk
family name: Kondratiuk
given name: Dmytro
type: Person

Alexander Nemish
family name: Nemish
given name: Alexander
type: Person

Simon Thompson
family name: Thompson
given name: Simon
type: Person

HTML Summary of #90835 Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification
format: text/html
primary topic: Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification

Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification (PDF)
has part: 30LamPham_thesis_final_submit.pdf
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has file: 30LamPham_thesis_final_submit.pdf
has file: 30LamPham_thesis_final_submit.pdf_nocoversheet
type: Document

Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification (PDF)
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type: Document

Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification (Other)
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Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification (Other)
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Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification (Other)
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Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification (Other)
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Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification
THS: Ramaswamy Palaniappan
abstract: Although research on Acoustic Scene Classification (ASC) is very close to, or even overshadowed by different popular research areas known as Automatic Speech Recognition (ASR), Speaker Recognition (SR) or Image Processing (IP), this field potentially opens up several distinct and meaningful application areas based on environment context detection. The challenges of ASC mainly come from different noise resources, various sounds in real-world environments, occurring as single sounds, continuous sounds or overlapping sounds. In comparison to speech, sound scenes are more challenging mainly due to their being unstructured in form and closely similar to noise in certain contexts. Although a wide range of publications have focused on ASC recently, they show task-specific ways that either explore certain aspects of an ASC system or are evaluated on limited acoustic scene datasets. Therefore, the aim of this thesis is to contribute to the development of a robust framework to be applied for ASC, evaluated on various recently published datasets, and to achieve competitive performance compared to the state-of-the-art systems. To do this, a baseline model is firstly introduced. Next, extensive experiments on the baseline are conducted to identify key factors affecting final classification accuracy. From the comprehensive analysis, a robust deep learning framework, namely the Encoder-Decoder structure, is proposed to address three main factors that directly affect an ASC system. These factors comprise low-level input features, high-level feature extraction methodologies, and architectures for final classification. Within the proposed framework, three spectrogram transformations, namely Constant Q Transform (CQT), gammatone filter (Gamma), and log-mel, are used to convert recorded audio signals into spectrogram representations that resemble two-dimensional images. These three spectrograms used are referred to as low-level input features. To extract high-level features from spectr…
author list: authors
degree: phd
status: published
creator: Lam Dang Pham
date: 2021-09
is part of: repository
subject: QA 76 Software, computer programming,
has document: Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification (PDF)
has document: Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification (Other)
type: Article
type: Thesis
type: EPrint
type: ThesisEPrint

Lam Dang Pham
family name: Pham
given name: Lam Dang
type: Person

HTML Summary of #92301 Investigating the Impact of Ransomware Splash Screens
format: text/html
primary topic: Investigating the Impact of Ransomware Splash Screens

Investigating the Impact of Ransomware Splash Screens (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Investigating the Impact of Ransomware Splash Screens (Other)
has part: indexcodes.txt
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is index codes version of: Investigating the Impact of Ransomware Splash Screens (PDF)
is version of: Investigating the Impact of Ransomware Splash Screens (PDF)
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type: Document

Investigating the Impact of Ransomware Splash Screens (Other)
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Investigating the Impact of Ransomware Splash Screens (Other)
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type: Document

Investigating the Impact of Ransomware Splash Screens (Other)
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type: Document

Investigating the Impact of Ransomware Splash Screens (Other)
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type: Document

Investigating the Impact of Ransomware Splash Screens (PDF)
type: Document

Investigating the Impact of Ransomware Splash Screens (Other)
is version of: Investigating the Impact of Ransomware Splash Screens (PDF)
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Investigating the Impact of Ransomware Splash Screens (Other)
is version of: Investigating the Impact of Ransomware Splash Screens (PDF)
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Investigating the Impact of Ransomware Splash Screens (Other)
is version of: Investigating the Impact of Ransomware Splash Screens (PDF)
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Investigating the Impact of Ransomware Splash Screens (Other)
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Investigating the Impact of Ransomware Splash Screens (Other)
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Investigating the Impact of Ransomware Splash Screens
abstract: Ransomware is a type of malicious software that locks out its victim from accessing functionality or data on their device, typically by encrypting files. To regain access, victims would typically need to make a ransom payment. Victims get notified that their device has been infected through a ransom note (splash screen) displayed on their device. Ransomware splash screens can be presented in many ways; the most common ones are via a text file or a graphical user interface (GUI). Splash screens may also include additional features, such as a countdown timer, as part of the ransomware operator's ploy to encourage their victims to pay. The main aim of this study was to gain valuable insights into how ransomware splash screens might affect victims' responses. Moreover, the study also investigated whether exposure to different splash screens would encourage participants to adopt good security behaviours. A controlled experiment was conducted by randomly assigning 538 participants into one of the three ransomware infection scenarios based on the splash screen type (Text-based, GUI or GUI + Timer). After watching a demonstration of a ransomware scenario, each participant was asked to complete a survey regarding their post-infection behaviour and their cybersecurity habits. The study concluded that ransomware's user interface elements do not have a notable effect on how victims would react, in terms of their willingness to pay or their reporting rates. Additionally findings included that, even though 60% of the participants would like to report a ransomware incident, they were not sure how to do this. This illustrates the lack of public awareness about cybercrime reporting. Lack of trust was the main reason why participants did not want to click on links offering cybersecurity advice after the exposure. This shows that more effective methods for encouraging cybersecurity behaviour are still needed.
author list: authors
status: peerReviewed
status: published
volume: 61
has version: Investigating the Impact of Ransomware Splash Screens (PDF)
creator: Budi Arief
creator: Julio C. Hernandez-Castro
creator: Orcun Cetin
creator: Yagiz Yilmaz
date: 2021-09
is part of: repository
is part of: Journal of Information Security and Applications
subject: QA Mathematics (inc Computing science)
has accepted: Investigating the Impact of Ransomware Splash Screens (PDF)
has document: Investigating the Impact of Ransomware Splash Screens (PDF)
has document: Investigating the Impact of Ransomware Splash Screens (Other)
has published: Investigating the Impact of Ransomware Splash Screens (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Yagiz Yilmaz
family name: Yilmaz
given name: Yagiz
type: Person

HTML Summary of #89955 Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis
format: text/html
primary topic: Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis

Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: PLoSONE2022.pdf
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type: Document

Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis (Other)
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Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis (Other)
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Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis (Other)
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Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis (Other)
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Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis (Other)
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Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis
abstract: Objective Digital nudging has been mooted as a tool to alter user privacy behavior. However, empirical studies on digital nudging have yielded divergent results: while some studies found nudging to be highly effective, other studies found no such effects. Furthermore, previous studies employed a wide range of digital nudges, making it difficult to discern the effectiveness of digital nudging. To address these issues, we performed a systematic review of empirical studies on digital nudging and information disclosure as a specific privacy behavior. Method The search was conducted in five digital libraries and databases: Scopus, Google Scholar, ACM Digital Library, Web of Science, and Science Direct for peer-reviewed papers published in English after 2006, examining the effects of various nudging strategies on disclosure of personal information online. Results The review unveiled 78 papers that employed four categories of nudge interventions: presentation, information, defaults, and incentives, either individually or in combination. A meta-analysis on a subset of papers with available data (n = 54) revealed a significant small-to-medium sized effect of the nudge interventions on disclosure (Hedges’ g = 0.32). There was significant variation in the effectiveness of nudging (I2 = 89%), which was partially accounted for by interventions to increase disclosure being more effective than interventions to reduce disclosure. No evidence was found for differences in the effectiveness of nudging with presentation, information, defaults, and incentives interventions. Conclusion Identifying ways to nudge users into making more informed and desirable privacy decisions is of significant practical and policy value. There is a growing interest in digital privacy nudges for disclosure of personal information, with most empirical papers focusing on nudging with presentation. Further research is needed to elucidate the relative effectiveness of different intervention strategies and how n…
author list: authors
issue: 8
status: peerReviewed
status: published
volume: 16
has version: Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis (PDF)
creator: Athina Ioannou
creator: Graham Miller
creator: Iis Tussyadiah
creator: Mario Weick
creator: Shujun Li
date: 2021-08-27
is part of: repository
is part of: PLoS ONE
subject: BF Psychology
subject: HF5548.32 E-commerce
subject: QA 75 Electronic computers. Computer science
subject: QA76.9.H85 Human computer interaction
subject: TK5105.875.I57 Internet
subject: TK5105.888 World Wide Web
has document: Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis (PDF)
has document: Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis (Other)
has published: Privacy nudges for disclosure of personal information: A systematic literature review and meta-analysis (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

BF Psychology
type: Concept

HF5548.32 E-commerce
type: Concept

TK5105.875.I57 Internet
type: Concept

TK5105.888 World Wide Web
type: Concept

Public Library of Science
type: Organization

Athina Ioannou
family name: Ioannou
given name: Athina
type: Person

Graham Miller
family name: Miller
given name: Graham
type: Person

Iis Tussyadiah
family name: Tussyadiah
given name: Iis
type: Person

Mario Weick
family name: Weick
given name: Mario
type: Person

PLoS ONE
issn: 19326203
type: Collection
name: PLOS ONE

HTML Summary of #88746 Practitioners' Views on Cybersecurity Control Adoption and Effectiveness
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primary topic: Practitioners' Views on Cybersecurity Control Adoption and Effectiveness

Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (PDF)
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Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (Other)
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Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (Other)
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Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (Other)
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Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (Other)
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Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: 3465481.3470038.pdf
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has file: 3465481.3470038.pdf_nocoversheet
type: Document

Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (Other)
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Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (Other)
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Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (Other)
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Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (Other)
has part: small.jpg
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Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (PDF)
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type: Document

Practitioners' Views on Cybersecurity Control Adoption and Effectiveness
abstract: Cybersecurity practitioners working in organisations implement risk controls aiming to improve the security of their systems. Determining prioritisation of the deployment of controls and understanding their likely impact on overall cybersecurity posture is challenging, yet without this understanding there is a risk of implementing inefficient or even harmful security practices. There is a critical need to comprehend the value of controls in reducing cyberrisk exposure in various organisational contexts, and the factors affecting their usage. Such information is important for research into cybersecurity risk and defences, for supporting cybersecurity decisions within organisations, and for external parties guiding cybersecurity practice such as standards bodies and cyber-insurance companies. Cybersecurity practitioners possess a wealth of field knowledge in this area, yet there has been little academic work collecting and synthesising their views. In an attempt to highlights trends and a range of wider organisational factors that impact on a control's effectiveness and deployment, we conduct a set of interviews exploring practitioners' perceptions. We compare alignment with the recommendations of security standards and requirements of cyberinsurance policies to validate findings. Although still exploratory, we believe this methodology would help in identifying points of improvement in cybersecurity investment, describing specific potential benefits.
author list: authors
status: peerReviewed
status: published
has version: Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (PDF)
creator: Jason R. C. Nurse
date: 2021-08-17
is part of: repository
subject: HF Commerce
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (PDF)
has document: Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (PDF)
has document: Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (Other)
has published: Practitioners' Views on Cybersecurity Control Adoption and Effectiveness (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

HF Commerce
type: Concept

16th International Conference on Availability, Reliability and Security (ARES)
type: Conference
type: Event

Online
type: SpatialThing

Sadie Creese
family name: Creese
given name: Sadie
type: Person

Louise Axon
family name: Axon
given name: Louise
type: Person

Alastair Janse van Rensburg
family name: Janse van Rensburg
given name: Alastair
type: Person

Arnau Erola
family name: Erola
given name: Arnau
type: Person

Michael Goldsmith
family name: Goldsmith
given name: Michael
type: Person

HTML Summary of #89886 Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms
format: text/html
primary topic: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms

Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (Other)
is index codes version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
is version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
is volatile version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
type: Document

Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (Other)
is version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
is volatile version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
islightbox thumbnail version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
type: Document

Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (Other)
is version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
is volatile version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
ispreview thumbnail version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
type: Document

Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (Other)
is version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
is volatile version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
ismedium thumbnail version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
type: Document

Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (Other)
is version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
is volatile version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
issmall thumbnail version of: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
type: Document

Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms
abstract: The majority of forecasting methods use a physical time scale for studying price fluctuations of financial markets. Using physical time scales can make companies oblivious to significant activities in the market as the flow of time is discontinuous, which could translate to missed profitable opportunities or risk exposure. Directional changes (DC) has gained attention in the recent years by translating physical time series to event-based series. Under this framework, trend reversals can be predicted by using the length of events. Having this knowledge allows traders to take an action before such reversals happen and thus increase their profitability. In this paper, we investigate how classification algorithms can be incorporated in the process of predicting trend reversals to create DC-based trading strategies. The effect of the proposed trend reversal estimation is measured on 20 foreign exchange markets over a 10-month period in a total of 1000 data sets. We compare our results across 16 algorithms, both DC and non-DC based, such as technical analysis and buy-and-hold. Our findings show that the introduction of classification leads to return higher profit and statistically outperform all other trading strategies.
author list: authors
status: peerReviewed
status: published
has version: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
creator: Adesola Adegboye
creator: Fernando E.B. Otero
creator: Michael Kampouridis
date: 2021-08-08
is part of: repository
is part of: International Journal of Intelligent Systems
subject: Q335 Artificial intelligence
has accepted: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
has document: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (PDF)
has document: Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Adesola Adegboye
family name: Adegboye
given name: Adesola
type: Person

Michael Kampouridis
family name: Kampouridis
given name: Michael
type: Person

HTML Summary of #90812 Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique
format: text/html
primary topic: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique

Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (Other)
is index codes version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
is version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
is volatile version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
type: Document

Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (Other)
is version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
is volatile version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
islightbox thumbnail version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
type: Document

Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (Other)
is version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
is volatile version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
ispreview thumbnail version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
type: Document

Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (Other)
is version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
is volatile version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
ismedium thumbnail version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
type: Document

Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (Other)
is version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
is volatile version of: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
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type: Document

Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique
abstract: This paper presents a static output feedback sliding mode control method to regulate a two-wheeled inverted pendulum system with considerations of matched and unmatched uncertainties. A sliding surface is designed and the associated sliding motion stability is analysed based on the reduced-order dynamics. A static output sliding mode control law is synthesised to drive the system to the sliding surface and maintain a sliding motion afterwards. The nonlinear bounds on the uncertainties are employed in the stability analysis and control design to improve the robustness. The simulation results demonstrate the effectiveness of the proposed control.
author list: authors
status: forthcoming
status: peerReviewed
has version: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
creator: Konstantinos Sirlantzis
creator: Gareth Howells
creator: Xinggang Yan
creator: Yankun Yang
date: 2021-08-05
is part of: repository
subject: Control engineering
has accepted: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
has document: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (PDF)
has document: Static Output Feedback Control of a Two-wheeled Inverted Pendulum Using Sliding Mode Technique (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

Control engineering
type: Concept

International Conference on Robotics and Control Systems
type: Conference
type: Event

Montreal, Canada
type: SpatialThing

Konstantinos Sirlantzis
family name: Sirlantzis
given name: Konstantinos
type: Person

Xinggang Yan
family name: Yan
given name: Xinggang
type: Person

Yankun Yang
family name: Yang
given name: Yankun
type: Person

HTML Summary of #90184 Multilayer Ensemble Evolving Fuzzy Inference System
format: text/html
primary topic: Multilayer Ensemble Evolving Fuzzy Inference System

Multilayer Ensemble Evolving Fuzzy Inference System
abstract: In order to tackle high dimensional, complex problems, learning models have to go deeper. In this article, a novel multilayer ensemble learning model with first-order evolving fuzzy systems as its building blocks is introduced. The proposed approach can effectively learn from streaming data on a sample-by-sample basis and self-organizes its multilayered system structure and meta-parameters in a feedforward, noniterative manner. Benefiting from its multilayered distributed representation learning ability, the ensemble system not only demonstrates the state-of-the-art performance on various problems, but also offers high level of system transparency and explainability. Theoretical justifications and experimental investigation show the validity and effectiveness of the proposed concept and general principles.
author list: authors
issue: 8
status: peerReviewed
status: published
volume: 29
creator: Xiaowei Gu
date: 2021-08-01
is part of: repository
is part of: IEEE Transactions on Fuzzy Systems
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

HTML Summary of #90394 A multi-granularity locally optimal prototype-based approach for classification
format: text/html
primary topic: A multi-granularity locally optimal prototype-based approach for classification

A multi-granularity locally optimal prototype-based approach for classification
abstract: Prototype-based approaches generally provide better explainability and are widely used for classification. However, the majority of them suffer from system obesity and lack transparency on complex problems. In this paper, a novel classification approach with a multi-layered system structure self-organized from data is proposed. This approach is able to identify local peaks of multi-modal density derived from static data and filter out more representative ones at multiple levels of granularity acting as prototypes. These prototypes are then optimized to their locally optimal positions in the data space and arranged in layers with meaningful dense links in-between to form pyramidal hierarchies based on the respective levels of granularity accordingly. After being primed offline, the constructed classification model is capable of self-developing continuously from streaming data to self-expend its knowledge base. The proposed approach offers higher transparency and is convenient for visualization thanks to the hierarchical nested architecture. Its system identification process is objective, data-driven and free from prior assumptions on data generation model with user- and problem- specific parameters. Its decision-making process follows the “nearest prototype” principle, and is highly explainable and traceable. Numerical examples on a wide range of benchmark problems demonstrate its high performance.
author list: authors
status: peerReviewed
status: published
volume: 569
creator: Xiaowei Gu
date: 2021-08-01
is part of: repository
is part of: Information Sciences
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Miqing Li
family name: Li
given name: Miqing
type: Person

HTML Summary of #89480 Validating Formal Semantics by Property-Based Cross-Testing
format: text/html
primary topic: Validating Formal Semantics by Property-Based Cross-Testing

Validating Formal Semantics by Property-Based Cross-Testing (PDF)
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Validating Formal Semantics by Property-Based Cross-Testing (Other)
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Validating Formal Semantics by Property-Based Cross-Testing (Other)
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Validating Formal Semantics by Property-Based Cross-Testing (Other)
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Validating Formal Semantics by Property-Based Cross-Testing (Other)
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Validating Formal Semantics by Property-Based Cross-Testing (Other)
has part: small.jpg
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type: Document

Validating Formal Semantics by Property-Based Cross-Testing
abstract: To describe the behaviour of programs in a programming language we can define a formal semantics for the language, and formalise it in a proof assistant. From this semantics we can derive the behaviour of each particular program in the language. But there remains the question of validating the formal semantics: have we got the formalisation right? Our approach is to use property-based cross-testing of formal semantics, which is based on the combination of a number of existing approaches to validation. In particular, we give a concrete implementation of our ideas for a set of formalisations of Erlang and Core Erlang. We describe the adjustments that need to be made to execute these seman- tics, then we present and evaluate property-based testing in the context of cross-checking semantics, including random program generation and counterexample shrinking.
author list: authors
status: peerReviewed
status: published
has version: Validating Formal Semantics by Property-Based Cross-Testing (PDF)
creator: Simon Thompson
date: 2021-07-27
is part of: repository
subject: QA 75 Electronic computers. Computer science
has document: Validating Formal Semantics by Property-Based Cross-Testing (PDF)
has document: Validating Formal Semantics by Property-Based Cross-Testing (Other)
has published: Validating Formal Semantics by Property-Based Cross-Testing (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

32nd Symposium on Implementation and Application of Functional Languages (IFL ’20)
type: Conference
type: Event

Canterbury, UK
type: SpatialThing

Péter Bereczky
family name: Bereczky
given name: Péter
type: Person

Judit K?szegi
family name: K?szegi
given name: Judit
type: Person

Soma Szeier
family name: Szeier
given name: Soma
type: Person

Dániel Horpácsi
family name: Horpácsi
given name: Dániel
type: Person

HTML Summary of #88386 StockBabble: A Conversational Financial Agent to support Stock Market Investors
format: text/html
primary topic: StockBabble: A Conversational Financial Agent to support Stock Market Investors

StockBabble: A Conversational Financial Agent to support Stock Market Investors (PDF)
has part: CUI-2021-FinBot-Nurse.pdf
has part: CUI-2021-FinBot-Nurse.pdf_nocoversheet
has file: CUI-2021-FinBot-Nurse.pdf
has file: CUI-2021-FinBot-Nurse.pdf_nocoversheet
type: Document

StockBabble: A Conversational Financial Agent to support Stock Market Investors (Other)
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StockBabble: A Conversational Financial Agent to support Stock Market Investors (Other)
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is volatile version of: StockBabble: A Conversational Financial Agent to support Stock Market Investors (PDF)
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StockBabble: A Conversational Financial Agent to support Stock Market Investors (Other)
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StockBabble: A Conversational Financial Agent to support Stock Market Investors (Other)
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StockBabble: A Conversational Financial Agent to support Stock Market Investors (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: StockBabble: A Conversational Financial Agent to support Stock Market Investors (PDF)
is version of: StockBabble: A Conversational Financial Agent to support Stock Market Investors (PDF)
is volatile version of: StockBabble: A Conversational Financial Agent to support Stock Market Investors (PDF)
type: Document

StockBabble: A Conversational Financial Agent to support Stock Market Investors
abstract: We introduce StockBabble, a conversational financial agent designed to support understanding and engagement with the stock market. StockBabble's value and novelty is in its ability to empower retail investors -- many of which may be new to investing -- and supplement their informational needs using a user-friendly agent. Users have the ability to query information on companies to retrieve a general and financial overview of a stock, including accessing the latest news and trading recommendations. They can also request charts which contain live prices and technical investment indicators, and add shares to a personal portfolio to allow performance monitoring over time. To evaluate our agent's potential, we conducted a user study with 15 participants. In total, 73% (11/15) of respondents said that they felt more confident in investing after using StockBabble, and all 15 would consider recommending it to others. These results are encouraging and suggest a wider appeal for such agents. Moreover, we believe this research can help to inform the design and development of future intelligent, financial personal assistants.
author list: authors
status: peerReviewed
status: published
has version: StockBabble: A Conversational Financial Agent to support Stock Market Investors (PDF)
creator: Jason R. C. Nurse
date: 2021-07-27
is part of: repository
subject: H Social Sciences
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: StockBabble: A Conversational Financial Agent to support Stock Market Investors (PDF)
has document: StockBabble: A Conversational Financial Agent to support Stock Market Investors (PDF)
has document: StockBabble: A Conversational Financial Agent to support Stock Market Investors (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

3rd ACM Conference on Conversational User Interfaces (CUI 2021)
type: Conference

Suraj Sharma
family name: Sharma
given name: Suraj
type: Person

Joseph Brennan
family name: Brennan
given name: Joseph
type: Person

HTML Summary of #91357 Special Issue on “Natural Language Processing: Emerging Neural Approaches and Applications”
format: text/html
primary topic: Special Issue on “Natural Language Processing: Emerging Neural Approaches and Applications”

Special Issue on “Natural Language Processing: Emerging Neural Approaches and Applications”
author list: authors
issue: 15
status: peerReviewed
status: published
volume: 11
creator: Giovanni Masala
date: 2021-07-22
is part of: repository
is part of: Applied Sciences
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Multidisciplinary Digital Publishing Institute
type: Organization

Aniello Minutolo
family name: Minutolo
given name: Aniello
type: Person

Marco Pota
family name: Pota
given name: Marco
type: Person

Massimo Esposito
family name: Esposito
given name: Massimo
type: Person

Applied Sciences
issn: 20763417
type: Collection

HTML Summary of #88354 Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces
format: text/html
primary topic: Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces

Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (PDF)
type: Document

Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (PDF)
type: Document

Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
has part: indexcodes.txt
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is volatile version of: Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (PDF)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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type: Document

Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (PDF)
license: http://creativecommons.org/licenses/by/3.0/
type: Document

Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
is version of: Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (PDF)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
is version of: Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (PDF)
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Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces
abstract: Motor imagery offers an excellent opportunity as a stimulus-free paradigm for brain-machine interfaces. Conventional electroencephalography (EEG) for motor imagery requires a hair cap with multiple wired electrodes and messy gels, causing motion artifacts. Here, we introduce a wireless scalp electronic system with virtual reality for real-time, continuous classification of motor imagery brain signals. This low-profile, portable system integrates imperceptible microneedle electrodes and soft wireless circuits. Virtual reality addresses subject variance in detectable EEG response to motor imagery by providing clear, consistent visuals and instant biofeedback. The wearable soft system offers advantageous contact surface area and reduced electrode impedance density, resulting in significantly enhanced EEG signals and classification accuracy. The combination with convolutional neural network-machine learning provides a real-time, continuous motor imagery-based brain-machine interface. With four human subjects, the scalp electronic system offers a high classification accuracy (93.22±1.33% for four classes), allowing wireless, real-time control of a virtual reality game.
author list: authors
status: peerReviewed
status: published
has version: Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (PDF)
creator: Chee Siang Ang
date: 2021-07-17
is part of: repository
is part of: Advanced Science
subject: Q Science
subject: QA76.9.H85 Human computer interaction
has accepted: Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (PDF)
has document: Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (PDF)
has document: Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (Other)
has published: Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (PDF)
has supplemental: Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-based Brain-Machine Interfaces (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Ki Jun Yu
family name: Jun Yu
given name: Ki
type: Person

Young C Jang
family name: Jang
given name: Young C
type: Person

Panote Siriaraya
family name: Siriaraya
given name: Panote
type: Person

Yun-Soung Kim
family name: Kim
given name: Yun-Soung
type: Person

Otkhmezuri, Boris
family name: Boris
given name: Otkhmezuri,
type: Person

Shinjae Kwon
family name: Kwon
given name: Shinjae
type: Person

Jeongmoon Choi
family name: Choi
given name: Jeongmoon
type: Person

Kyowon Kang
family name: Kang
given name: Kyowon
type: Person

Woon-Hong Yeo
family name: Yeo
given name: Woon-Hong
type: Person

Musa Mahmood
family name: Mahmood
given name: Musa
type: Person

Advanced Science
issn: 21983844
type: Collection

HTML Summary of #89408 Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests
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primary topic: Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests

Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests (PDF)
has part: Anonymous_v2.pdf
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has file: Anonymous_v2.pdf
has file: Anonymous_v2.pdf_nocoversheet
type: Document

Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests (Other)
has part: indexcodes.txt
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Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests (Other)
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Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests (Other)
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Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests (Other)
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Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests (Other)
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type: Document

Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests
abstract: Recently, there had been little notable activity from the once prominent hacktivist group, Anonymous. The group, responsible for activist-based cyber attacks on major businesses and governments, appeared to have fragmented after key members were arrested in 2013. In response to the major Black Lives Matter (BLM) protests that occurred after the killing of George Floyd, however, reports indicated that the group was back. To examine this apparent resurgence, we conduct a large-scale study of Anonymous affiliates on Twitter. To this end, we first use machine learning to identify a significant network of more than 33,000 Anonymous accounts. Through topic modelling of tweets collected from these accounts, we find evidence of sustained interest in topics related to BLM. We then use sentiment analysis on tweets focused on these topics, finding evidence of a united approach amongst the group, with positive tweets typically being used to express support towards BLM, and negative tweets typically being used to criticize police actions. Finally, we examine the presence of automation in the network, identifying indications of bot-like behavior across the majority of Anonymous accounts. These findings show that whilst the group has seen a resurgence during the protests, bot activity may be responsible for exaggerating the extent of this resurgence.
author list: authors
status: forthcoming
status: peerReviewed
has version: Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests (PDF)
creator: Jason R. C. Nurse
creator: Keenan Jones
creator: Shujun Li
date: 2021-07-15
is part of: repository
subject: H Social Sciences
subject: HM Sociology
subject: Q Science
subject: QA 76 Software, computer programming,
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests (PDF)
has document: Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests (PDF)
has document: Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

16th International AAAI Conference on Web and Social Media (ICWSM-22)
type: Conference
type: Event

AAAI
type: Organization

HTML Summary of #87945 Profiling the Cybercriminal: A Systematic Review of Research
format: text/html
primary topic: Profiling the Cybercriminal: A Systematic Review of Research

Profiling the Cybercriminal: A Systematic Review of Research (PDF)
has part: 2021-Profiling_Cyber_Criminal.pdf
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has file: 2021-Profiling_Cyber_Criminal.pdf
has file: 2021-Profiling_Cyber_Criminal.pdf_nocoversheet
type: Document

Profiling the Cybercriminal: A Systematic Review of Research (Other)
has part: indexcodes.txt
has file: indexcodes.txt
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type: Document

Profiling the Cybercriminal: A Systematic Review of Research (Other)
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Profiling the Cybercriminal: A Systematic Review of Research (Other)
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Profiling the Cybercriminal: A Systematic Review of Research (Other)
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Profiling the Cybercriminal: A Systematic Review of Research (Other)
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Profiling the Cybercriminal: A Systematic Review of Research
abstract: As cybercrime becomes one of the most significant threats facing society today, it is of utmost importance to better understand the perpetrators behind such attacks. In this article, we seek to advance research and practitioner understanding of the cybercriminal (cyber-offender) profiling domain by conducting a rigorous systematic review. This work investigates the aforementioned domain to answer the question: what is the state-of-the-art in the academic field of understanding, characterising and profiling cybercriminals. Through the application of the PRISMA systematic literature review technique, we identify 39 works from the last 14 years (2006-2020). Our findings demonstrate that overall, there is lack of a common definition of profiling for cyber-offenders. The review found that one of the primary types of cybercriminals that studies have focused on is hackers and the majority of papers used the deductive approach as a preferred one. This article produces an up-to-date characterisation of the field and also defines open issues deserving of further attention such as the role of security professionals and law enforcement in supporting such research, as well as factors including personality traits which must be further researched whilst exploring online criminal behaviour. By understanding online offenders and their pathways towards malevolent behaviours, we can better identify steps that need to be taken to prevent such criminal activities.
author list: authors
status: peerReviewed
status: published
has version: Profiling the Cybercriminal: A Systematic Review of Research (PDF)
creator: Jason R. C. Nurse
date: 2021-07-13
is part of: repository
subject: BF Psychology
subject: K Law
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: Profiling the Cybercriminal: A Systematic Review of Research (PDF)
has document: Profiling the Cybercriminal: A Systematic Review of Research (PDF)
has document: Profiling the Cybercriminal: A Systematic Review of Research (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

K Law
type: Concept

IEEE Cyber Science 2021 Conference
type: Conference

Maria Bada
family name: Bada
given name: Maria
type: Person

HTML Summary of #88345 SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education
format: text/html
primary topic: SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education

SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education (PDF)
has part: HAISA-2021-Gamification-Nurse.pdf
has part: HAISA-2021-Gamification-Nurse.pdf_nocoversheet
has file: HAISA-2021-Gamification-Nurse.pdf
has file: HAISA-2021-Gamification-Nurse.pdf_nocoversheet
type: Document

SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education (Other)
has part: indexcodes.txt
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type: Document

SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education (Other)
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SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education (Other)
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SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education (Other)
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SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education (Other)
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SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education
abstract: Gamification and Serious Games are progressively being used over a host of fields, particularly to support education. Such games provide a new way to engage students with content and can complement more traditional approaches to learning. This article proposes SherLOCKED, a new serious game created in the style of a 2D top-down puzzle adventure. The game is situated in the context of an undergraduate cyber security course, and is used to consolidate students' knowledge of foundational security concepts (e.g. the CIA triad, security threats and attacks and risk management). SherLOCKED was built based on a review of existing serious games and a study of common gamification principles. It was subsequently implemented within an undergraduate course, and evaluated with 112 students. We found the game to be an effective, attractive and fun solution for allowing further engagement with content that students were introduced to during lectures. This research lends additional evidence to the use of serious games in supporting learning about cyber security.
author list: authors
status: peerReviewed
status: published
volume: 613
has version: SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education (PDF)
creator: Jason R. C. Nurse
date: 2021-07-08
is part of: repository
is part of: IFIP Advances in Information and Communication Technology
subject: BF Psychology
subject: L Education
subject: QA Mathematics (inc Computing science)
subject: T Technology (General)
has accepted: SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education (PDF)
has document: SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education (PDF)
has document: SherLOCKED: A Detective-Themed Serious Game for Cyber Security Education (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

L Education
type: Concept

International Symposium on Human Aspects of Information Security and Assurance
type: Conference

Conor Finn
family name: Finn
given name: Conor
type: Person

Alice Jaffray
family name: Jaffray
given name: Alice
type: Person

IFIP Advances in Information and Communication Technology
issn: 18684238
type: Collection

HTML Summary of #88357 When Googling it doesn’t work: The challenge of finding security advice for smart home devices
format: text/html
primary topic: When Googling it doesn’t work: The challenge of finding security advice for smart home devices

When Googling it doesn’t work: The challenge of finding security advice for smart home devices (PDF)
has part: HAISA_2021_Website_review.pdf
has part: HAISA_2021_Website_review.pdf_nocoversheet
has file: HAISA_2021_Website_review.pdf
has file: HAISA_2021_Website_review.pdf_nocoversheet
type: Document

When Googling it doesn’t work: The challenge of finding security advice for smart home devices (Other)
has part: indexcodes.txt
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type: Document

When Googling it doesn’t work: The challenge of finding security advice for smart home devices (Other)
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When Googling it doesn’t work: The challenge of finding security advice for smart home devices (Other)
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When Googling it doesn’t work: The challenge of finding security advice for smart home devices (Other)
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When Googling it doesn’t work: The challenge of finding security advice for smart home devices (Other)
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When Googling it doesn’t work: The challenge of finding security advice for smart home devices
abstract: As users increasingly introduce Internet-connected devices into their homes, having access to accurate and relevant cyber security information is a fundamental means of ensuring safe use. Given the paucity of information provided with many devices at the time of purchase, this paper engages in a critical study of the type of advice that home Internet of Things (IoT) or smart device users might be presented with on the Internet to inform their cyber security practices. We base our research on an analysis of 427 web pages from 234 organisations that present information on security threats and relevant cyber security advice. The results show that users searching online for information are subject to an enormous range of advice and news from various sources with differing levels of credibility and relevance. With no clear explanation of how a user may assess the threats as they are pertinent to them, it becomes difficult to understand which pieces of advice would be the most effective in their situation. Recommendations are made to improve the clarity, consistency and availability of guidance from recognised sourcesto improve user access and understanding.
author list: authors
status: peerReviewed
status: published
volume: 613
has version: When Googling it doesn’t work: The challenge of finding security advice for smart home devices (PDF)
creator: Jason R. C. Nurse
creator: Shujun Li
creator: Sarah Turner
date: 2021-07-08
is part of: repository
subject: H Social Sciences (General)
subject: QA Mathematics (inc Computing science)
subject: T Technology (General)
has accepted: When Googling it doesn’t work: The challenge of finding security advice for smart home devices (PDF)
has document: When Googling it doesn’t work: The challenge of finding security advice for smart home devices (PDF)
has document: When Googling it doesn’t work: The challenge of finding security advice for smart home devices (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

15th International Symposium on Human Aspects of Information Security & Assurance (HAISA)
type: Conference

HTML Summary of #90405 Framework to Create Cloud-Free Remote Sensing Data Using Passenger Aircraft as the Platform
format: text/html
primary topic: Framework to Create Cloud-Free Remote Sensing Data Using Passenger Aircraft as the Platform

Framework to Create Cloud-Free Remote Sensing Data Using Passenger Aircraft as the Platform
abstract: Cloud removal in optical remote sensing imagery is essential for many Earth observation applications. To recover the cloud obscured information, some preconditions must be satisfied. For example, the cloud must be semitransparent or relationships between contaminated and cloud-free pixels must be assumed. Due to the inherent imaging geometry features in satellite remote sensing, it is impossible to observe the ground under the clouds directly; therefore, cloud removal algorithms are always not perfect owing to the loss of ground truth. Recently, the use of passenger aircraft as a platform for remote sensing has been proposed by some researchers and institutes, including Airbus and the Japan Aerospace Exploration Agency. Passenger aircraft have the advantages of short visitation frequency and low cost. Additionally, because passenger aircraft fly at lower altitudes compared to satellites, they can observe the ground under the clouds at an oblique viewing angle. In this study, we examine the possibility of creating cloud-free remote sensing data by stacking multiangle images captured by passenger aircraft. To accomplish this, a processing framework is proposed, which includes four main steps: first, multiangle image acquisition from passenger aircraft, second, cloud detection based on deep learning semantic segmentation models, third, cloud removal by image stacking, and fourth, image quality enhancement via haze removal. This method is intended to remove cloud contamination without the requirements of reference images and predetermination of cloud types. The proposed method was tested in multiple case studies, wherein the resultant cloud- and haze-free orthophotos were visualized and quantitatively analyzed in various land cover type scenes. The results of the case studies demonstrated that the proposed method could generate high quality, cloud-free orthophotos. Therefore, we conclude that this framework has great potential for creating cloud-free remote sensing imag…
author list: authors
status: peerReviewed
status: published
volume: 14
creator: Xiaowei Gu
date: 2021-07-07
is part of: repository
is part of: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Chisheng Wang
family name: Wang
given name: Chisheng
type: Person

Yongquan Wang
family name: Wang
given name: Yongquan
type: Person

Shuying Wang
family name: Wang
given name: Shuying
type: Person

Qiandi Tang
family name: Tang
given name: Qiandi
type: Person

Monja B. Sebela
family name: Sebela
given name: Monja B.
type: Person

Hongxing Cui
family name: Cui
given name: Hongxing
type: Person

Xu Fang
family name: Fang
given name: Xu
type: Person

Ce Zhang
family name: Zhang
given name: Ce
type: Person

Zhongwen Hu
family name: Hu
given name: Zhongwen
type: Person

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
issn: 19391404
type: Collection

HTML Summary of #89070 A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy
format: text/html
primary topic: A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy

A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (Other)
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A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (Other)
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type: Document

A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (Other)
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is volatile version of: A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (PDF)
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A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (Other)
is version of: A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (PDF)
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type: Document

A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (Other)
is version of: A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (PDF)
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type: Document

A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy
abstract: The prediction by classification of side effects incidence in a given medical treatment is a common challenge in medical research. Machine Learning (ML) methods are widely used in the areas of risk prediction and classification. The primary objective of such algorithms is to use several features to predict dichotomous responses (e.g., disease positive/negative). Similar to statistical inference modelling, ML modelling is subject to the class imbalance problem and is affected by the majority class, increasing the false-negative rate. In this study, seventynine ML models were built and evaluated to classify approximately 2000 participants from 26 hospitals in eight different countries into two groups of radiotherapy (RT) side effects incidence based on recorded observations from the international study of RT related toxicity “REQUITE”. We also examined the effect of sampling techniques and cost-sensitive learning methods on the models when dealing with class imbalance. The combinations of such techniques used had a significant impact on the classification. They resulted in an improvement in incidence status prediction by shifting classifiers’ attention to the minority group. The best classification model for RT acute toxicity prediction was identified based on domain experts' success criteria. The Area Under Receiver Operator Characteristic curve of the models tested with an isolated dataset ranged between 0.50 and 0.77. The scale of improved results is promising and will guide further development of models to predict RT acute toxicities. One model was optimised and found to be beneficial to identify patients who are at risk of developing acute RT early-stage toxicities as a result of undergoing breast RT ensuring relevant treatment interventions can be appropriately targeted. The design of the approach presented in this paper resulted in producing a preclinical-valid prediction model. The study was developed by a multi-disciplinary collaboration of data scientists, m…
author list: authors
status: peerReviewed
status: published
has version: A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (PDF)
creator: Daniele Soria
date: 2021-07-05
is part of: repository
is part of: Computers in Biology and Medicine
subject: Q Science
has accepted: A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (PDF)
has document: A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (PDF)
has document: A data science approach for early-stage prediction of patient’s susceptibility to acute side effects of advanced radiotherapy (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

REQUITE Consortium
type: Organization

Hilary Stobart
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given name: Hilary
type: Person

Ana Vega
family name: Vega
given name: Ana
type: Person

R Paul Symonds
family name: Symonds
given name: R Paul
type: Person

Sara Gutiérrez-Enríquez
family name: Gutiérrez-Enríquez
given name: Sara
type: Person

Robert Samuel
family name: Samuel
given name: Robert
type: Person

Dirk De Ruysscher
family name: De Ruysscher
given name: Dirk
type: Person

Jorge Oliveira
family name: Oliveira
given name: Jorge
type: Person

Robert Lyon
family name: Lyon
given name: Robert
type: Person

Leila E.A. Shelley
family name: Shelley
given name: Leila E.A.
type: Person

Samuel Ingram
family name: Ingram
given name: Samuel
type: Person

David Azria
family name: Azria
given name: David
type: Person

Barry S. Rosenstein
family name: Rosenstein
given name: Barry S.
type: Person

Mahmoud Aldraimli
family name: Aldraimli
given name: Mahmoud
type: Person

Diana Grishchuck
family name: Grishchuck
given name: Diana
type: Person

Christopher J. Talbot
family name: Talbot
given name: Christopher J.
type: Person

Thierry J. Chaussalet
family name: Chaussalet
given name: Thierry J.
type: Person

Liv Veldeman
family name: Veldeman
given name: Liv
type: Person

Catharine M. West
family name: West
given name: Catharine M.
type: Person

Sarah Osman
family name: Osman
given name: Sarah
type: Person

Tim Rattay
family name: Rattay
given name: Tim
type: Person

Miriam V. Dwek
family name: Dwek
given name: Miriam V.
type: Person

Jenny Chang-Claude
family name: Chang-Claude
given name: Jenny
type: Person

Adam Webb
family name: Webb
given name: Adam
type: Person

Maria Carmen De Santis
family name: De Santis
given name: Maria Carmen
type: Person

Elena Sperk
family name: Sperk
given name: Elena
type: Person

Anil Mistry
family name: Mistry
given name: Anil
type: Person

Computers in Biology and Medicine
issn: 00104825
type: Collection

HTML Summary of #92027 Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics
format: text/html
primary topic: Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics

Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics (PDF)
type: Document

Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics (Other)
has part: indexcodes.txt
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is volatile version of: Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics (PDF)
type: Document

Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics (Other)
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Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics (Other)
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Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics (Other)
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Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics (Other)
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type: Document

Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics
abstract: Market timing, one of the core deciding when to buy or sell an asset of interest on a financial market. Market timing strategies can be built by using a collection of components or functions that process market context and return a recommendation on the course of action to take. In this chapter, we revisit the work presented in [20] on the application of Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) to the issue of market timing while using a novel approach for training and testing called Trend Representative Testing. We provide more details on the process of building trend representative datasets, as well as, introduce a new PSO variant with a different approach to pruning. Results show that the new pruning procedure is capable of reducing solution length while not adversely affecting the quality of the solutions in a statistically significant manner.
author list: authors
editor list: editors
status: nonPeerReviewed
status: published
has version: Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics (PDF)
creator: Fernando E.B. Otero
creator: Ismail Mohamed
date: 2021-07-02
is part of: repository
subject: Q335 Artificial intelligence
has accepted: Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics (PDF)
has document: Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics (PDF)
has document: Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Metaheuristics (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

A Linares-Barranco
family name: Linares-Barranco
given name: A
type: Person

K Madani
family name: Madani
given name: K
type: Person

J Merelo
family name: Merelo
given name: J
type: Person

J Garibaldi
family name: Garibaldi
given name: J
type: Person

K Warwick
family name: Warwick
given name: K
type: Person

Ismail Mohamed
family name: Mohamed
given name: Ismail
type: Person
family name: Mohamed Anwar Abdelsalam Mohamed
name: Ismail Mohamed Anwar Abdelsalam Mohamed

HTML Summary of #88998 Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG
format: text/html
primary topic: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: TITS3091291.pdf
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type: Document

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (Other)
has part: indexcodes.txt
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is index codes version of: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF)
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type: Document

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (Other)
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type: Document

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (Other)
has part: preview.jpg
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is volatile version of: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF)
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type: Document

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (Other)
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is volatile version of: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF)
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Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (Other)
has part: small.jpg
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is volatile version of: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF)
issmall thumbnail version of: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF)
type: Document

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG
abstract: Half of all road accidents result from either lack of driver attention or from maintaining insufficient separation between vehicles. Collision from the rear, in particular, has been identified as the most common class of accident in the UK, and its influencing factors have been widely studied for many years. Rear-mounted stop lamps, illuminated when braking, are the primary mechanism to alert following drivers to the need to reduce speed or brake. This paper develops a novel brain response approach to measuring subject reaction to different brake light designs. A variety of off-the-shelf brake light assemblies are tested in a physical simulated driving environment to assess the cognitive reaction times of 22 subjects. Eight pairs of LED-based and two pairs of incandescent bulb-based brake light assemblies are used and electroencephalogram (EEG) data recorded. Channel Pz is utilised to extract the P3 component evoked during the decision making process that occurs in the brain when a participant decides to lift their foot from the accelerator and depress the brake. EEG analysis shows that both incandescent bulb-based lights are statistically slower to evoke cognitive responses than all tested LED-based lights. Between the LED designs, differences are evident, but not statistically significant, attributed to the significant amount of movement artifact in the EEG signal
author list: authors
status: peerReviewed
status: published
has version: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF)
creator: Howard Bowman
creator: I. McLoughlin
creator: Ramaswamy Palaniappan
creator: Surej Mouli
date: 2021-07-02
is part of: repository
is part of: IEEE Transactions on Intelligent Transportation Systems
subject: TE Highway engineering. Roads and pavements
subject: TL Motor vehicles. Aeronautics. Astronautics
has document: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF)
has document: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (Other)
has published: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

TE Highway engineering. Roads and pavements
type: Concept

TL Motor vehicles. Aeronautics. Astronautics
type: Concept

Surej Mouli
family name: Mouli
given name: Surej
type: Person

IEEE Transactions on Intelligent Transportation Systems
issn: 15249050
type: Collection

HTML Summary of #88974 Constructive mathematics, Church's Thesis, and free choice sequences
format: text/html
primary topic: Constructive mathematics, Church's Thesis, and free choice sequences

Constructive mathematics, Church's Thesis, and free choice sequences (PDF)
has part: turner.pdf_nocoversheet
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type: Document

Constructive mathematics, Church's Thesis, and free choice sequences
abstract: We see the defining properties of constructive mathematics as being the proof interpretation of the logical connectives and the definition of function as rule or method. We sketch the development of intuitionist type theory as an alternative to set theory. We note that the axiom of choice is constructively valid for types, but not for sets. We see the theory of types, in which proofs are directly algorithmic, as a more natural setting for constructive mathematics than set theories like IZF. Church’s thesis provides an objective definition of effective computability. It cannot be proved mathematically because it is a conjecture about what kinds of mechanisms are physically possible, for which we have scientific evidence but not proof. We consider the idea of free choice sequences and argue that they do not undermine Church’s Thesis.
author list: authors
status: peerReviewed
status: published
has version: Constructive mathematics, Church's Thesis, and free choice sequences (PDF)
creator: David A. Turner
date: 2021-07-02
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA 8 Philosophy of mathematics
subject: QA 21 History of mathematics
subject: QA 75 Electronic computers. Computer science
has accepted: Constructive mathematics, Church's Thesis, and free choice sequences (PDF)
has document: Constructive mathematics, Church's Thesis, and free choice sequences (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

QA 8 Philosophy of mathematics
type: Concept

QA 21 History of mathematics
type: Concept

17th Conference on Computability in Europe, CiE 2021
type: Conference
type: Event

Virtual Event, Ghent
type: SpatialThing

David A. Turner
family name: Turner
given name: David A.
type: Person

HTML Summary of #90050 IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages
format: text/html
primary topic: IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages

IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (PDF)
has part: preface.pdf
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type: Document

IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (Other)
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is index codes version of: IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (PDF)
is version of: IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (PDF)
is volatile version of: IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (PDF)
type: Document

IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (Other)
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type: Document

IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (Other)
has part: preview.jpg
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is volatile version of: IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (PDF)
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IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (Other)
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is volatile version of: IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (PDF)
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type: Document

IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (Other)
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type: Document

IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages
EDT: Olaf Chitil
editor list: editors
status: peerReviewed
status: published
date: 2021-07-01
is part of: repository
subject: QA76.76 Computer software
has document: IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (PDF)
has document: IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (Other)
has other: IFL 2020: Proceedings of the 32nd Symposium on Implementation and Application of Functional Languages (PDF)
type: Article
type: EPrint
type: EdbookEPrint

Olaf Chitil
family name: Chitil
given name: Olaf
type: Person

HTML Summary of #89178 Naïve Transient Cast Insertion Isn’t (That) Bad
format: text/html
primary topic: Naïve Transient Cast Insertion Isn’t (That) Bad

Naïve Transient Cast Insertion Isn’t (That) Bad (PDF)
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Naïve Transient Cast Insertion Isn’t (That) Bad (Other)
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Naïve Transient Cast Insertion Isn’t (That) Bad (Other)
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Naïve Transient Cast Insertion Isn’t (That) Bad (Other)
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Naïve Transient Cast Insertion Isn’t (That) Bad (Other)
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Naïve Transient Cast Insertion Isn’t (That) Bad (Other)
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type: Document

Naïve Transient Cast Insertion Isn’t (That) Bad
abstract: Transient gradual type systems often depend on type-based cast insertion to achieve good performance: casts are inserted whenever the static checker detects that a dynamically-typed value may flow into a statically-typed context. Transient gradually typed programs are then often executed using just-in-time compilation, and contemporary just-in-time compilers are very good at removing redundant computations. In this paper we present work-in-progress to measure the ability of just-in-time compilers to remove redundant type checks. We investigate worst-case performance and so take a na'ive approach, annotating every subexpression to insert every plausible dynamic cast. Our results indicate that the Moth VM still manages to eliminate much of the overhead, by relying on the state-of-the-art SOMns substrate and Graal just-in-time compiler. We hope these results will help language implementers evaluate the tradeoffs between dynamic optimisations (which can improve the performance of both statically and dynamically typed programs) and static optimisations (which improve only statically typed code).
author list: authors
status: peerReviewed
status: published
has version: Naïve Transient Cast Insertion Isn’t (That) Bad (PDF)
creator: Stefan Marr
date: 2021-07
is part of: repository
subject: QA Mathematics (inc Computing science)
has accepted: Naïve Transient Cast Insertion Isn’t (That) Bad (PDF)
has document: Naïve Transient Cast Insertion Isn’t (That) Bad (PDF)
has document: Naïve Transient Cast Insertion Isn’t (That) Bad (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

16th ACM International Workshop on Implementation, Compilation, Optimization of OO Languages, Programs and Systems
type: Conference

Isaac Oscar Gariano
family name: Gariano
given name: Isaac Oscar
type: Person

Erin Greenwood-Thessman
family name: Greenwood-Thessman
given name: Erin
type: Person

Richard Roberts
family name: Roberts
given name: Richard
type: Person

Michael Homer
family name: Homer
given name: Michael
type: Person

James Noble
family name: Noble
given name: James
type: Person

Stefan Marr
family name: Marr
given name: Stefan
type: Person

HTML Summary of #88878 Developing a Cyber Security Culture: Current Practices and Future Needs
format: text/html
primary topic: Developing a Cyber Security Culture: Current Practices and Future Needs

Developing a Cyber Security Culture: Current Practices and Future Needs (PDF)
has part: Cyber-Security-Culture-2021-Nurse-KAR.pdf
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Developing a Cyber Security Culture: Current Practices and Future Needs (Other)
is index codes version of: Developing a Cyber Security Culture: Current Practices and Future Needs (PDF)
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type: Document

Developing a Cyber Security Culture: Current Practices and Future Needs (Other)
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Developing a Cyber Security Culture: Current Practices and Future Needs (Other)
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Developing a Cyber Security Culture: Current Practices and Future Needs (Other)
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Developing a Cyber Security Culture: Current Practices and Future Needs (Other)
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Developing a Cyber Security Culture: Current Practices and Future Needs
abstract: While the creation of a strong security culture has been researched and discussed for decades, it continues to elude many businesses. Part of the challenge faced is distilling pertinent, recent academic findings and research into useful guidance. In this article, we aim to tackle this issue by conducting a state-of-the-art study into organisational cyber security culture research. This work investigates four questions, including how cyber security culture is defined, what factors are essential to building and maintaining such a culture, the frameworks proposed to cultivate a security culture and the metrics suggested to assess it. Through the application of the PRISMA systematic literature review technique, we identify and analyse 58 research articles from the last 10 years (2010-2020). Our findings demonstrate that while there have been notable changes in the use of terms (e.g., information security culture and cyber security culture), many of the most influential factors across papers are similar. Top management support, policy and procedures, and awareness for instance, are critical in engendering cyber security culture. Many of the frameworks reviewed revealed common foundations, with organisational culture playing a substantial role in crafting appropriate cyber security culture models. Questionnaires and surveys are the most used tool to measure cyber security culture, but there are also concerns as to whether more dynamic measures are needed. For practitioners, this article highlights factors and models essential to the creation and management of a robust security culture. For research, we produce an up-to-date characterisation of the field and also define open issues deserving of further attention such as the role of change management processes and national culture in an enterprise's cyber security culture.
author list: authors
status: peerReviewed
status: published
has version: Developing a Cyber Security Culture: Current Practices and Future Needs (PDF)
creator: Jason R. C. Nurse
date: 2021-06-30
is part of: repository
is part of: Computers & Security
subject: BF Psychology
subject: H Social Sciences
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: Developing a Cyber Security Culture: Current Practices and Future Needs (PDF)
has document: Developing a Cyber Security Culture: Current Practices and Future Needs (PDF)
has document: Developing a Cyber Security Culture: Current Practices and Future Needs (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Steven Furnell
family name: Furnell
given name: Steven
type: Person

Betsy Uchendu
family name: Uchendu
given name: Betsy
type: Person

Maria Bada
family name: Bada
given name: Maria
type: Person

HTML Summary of #88875 Embodiment in 18th Century Depictions of Human-Machine Co-Creativity
format: text/html
primary topic: Embodiment in 18th Century Depictions of Human-Machine Co-Creativity

Embodiment in 18th Century Depictions of Human-Machine Co-Creativity (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: frobt-08-662036.pdf
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Embodiment in 18th Century Depictions of Human-Machine Co-Creativity (Other)
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Embodiment in 18th Century Depictions of Human-Machine Co-Creativity (Other)
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Embodiment in 18th Century Depictions of Human-Machine Co-Creativity (Other)
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Embodiment in 18th Century Depictions of Human-Machine Co-Creativity (Other)
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Embodiment in 18th Century Depictions of Human-Machine Co-Creativity (Other)
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type: Document

Embodiment in 18th Century Depictions of Human-Machine Co-Creativity
abstract: Artificial intelligence has a rich history in literature; fiction has shaped how we view artificial agents and their capacities in the real world. This paper looks at embodied examples of human-machine co-creation from the literature of the Long 18th Century (1650–1850), examining how older depictions of creative machines could inform and inspire modern day research. The works are analyzed from the perspective of design fiction with special focus on the embodiment of the systems and the creativity exhibited by them. We find that the chosen examples highlight the importance of recognizing the environment as a major factor in human-machine co-creative processes and that some of the works seem to precede current examples of artificial systems reaching into our everyday lives. The examples present embodied interaction in a positive, creativity-oriented way, but also highlight ethical risks of human-machine co-creativity. Modern day perceptions of artificial systems and creativity can be limited to some extent by the technologies available; fictitious examples from centuries past allow us to examine such limitations using a Design Fiction approach. We conclude by deriving four guidelines for future research from our fictional examples: 1) explore unlikely embodiments; 2) think of situations, not systems; 3) be aware of the disjunction between action and appearance; and 4) consider the system as a situated moral agent.
author list: authors
status: peerReviewed
status: published
has version: Embodiment in 18th Century Depictions of Human-Machine Co-Creativity (PDF)
creator: Anna Jordanous
creator: Anna Kantosalo
creator: Michael Falk
date: 2021-06-28
is part of: repository
is part of: Frontiers in Robotics and AI
subject: PN Literature (General)
subject: QA 75 Electronic computers. Computer science
has document: Embodiment in 18th Century Depictions of Human-Machine Co-Creativity (PDF)
has document: Embodiment in 18th Century Depictions of Human-Machine Co-Creativity (Other)
has published: Embodiment in 18th Century Depictions of Human-Machine Co-Creativity (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

PN Literature (General)
type: Concept

Frontiers
type: Organization

Anna Kantosalo
family name: Kantosalo
given name: Anna
type: Person

Michael Falk
family name: Falk
given name: Michael
type: Person

Frontiers in Robotics and AI
issn: 22969144
type: Collection

HTML Summary of #89041 Cyber Insurance and the Cyber Security Challenge
format: text/html
primary topic: Cyber Insurance and the Cyber Security Challenge

Cyber Insurance and the Cyber Security Challenge (PDF)
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Cyber Insurance and the Cyber Security Challenge (Other)
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Cyber Insurance and the Cyber Security Challenge (Other)
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Cyber Insurance and the Cyber Security Challenge (Other)
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Cyber Insurance and the Cyber Security Challenge (Other)
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Cyber Insurance and the Cyber Security Challenge (Other)
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Cyber Insurance and the Cyber Security Challenge
abstract: Governments and businesses are struggling to cope with the scale and complexity of managing cyber risk. Over the last year, remote working, rapid digitalisation and the need for increased connectivity have emphasised the cyber security challenge. As the pursuit of approaches to prevent, mitigate and recover from malicious cyber activity has progressed, one tool that has gained traction is cyber insurance. If it can follow the path of other insurance classes, it could play a significant role in managing digital risk. This paper explores whether cyber insurance can incentivise better cyber security practices among policyholders. It finds that the shortcomings of cyber insurance mean that its contribution to improving cyber security practices is more limited than policymakers and businesses might hope. Although several means by which cyber insurance can incentivise better cyber security practices are identified, they have significant limitations. Interviewees from across government, industry and business consistently stated that the positive effects of cyber insurance on cyber security have yet to fully materialise. While some mature insurers are moving in the right direction, cyber insurance as a whole is still struggling to move from theory into practice when it comes to incentivising cyber security. If this is to change, the insurance industry must overcome significant challenges. One is the competitiveness of the nascent cyber insurance market over the last two decades. Most of the market has used neither carrots (financial incentives) nor sticks (security obligations) to improve the cyber security practices of policyholders. The industry is also struggling to collect and share reliable cyber risk data that can inform underwriting and risk modelling. The difficulties inherent in understanding cyber risk, which is anthropogenic and systemic, mean insurers and reinsurers are unable to accurately quantify its causes and effects. This limits insurers’ ability to accura…
author list: authors
status: peerReviewed
status: published
has version: Cyber Insurance and the Cyber Security Challenge (PDF)
creator: Jason R. C. Nurse
date: 2021-06-28
is part of: repository
is part of: RUSI Occasional Paper
subject: H Social Sciences (General)
subject: HF5351 Business
subject: QA Mathematics (inc Computing science)
subject: T Technology
has document: Cyber Insurance and the Cyber Security Challenge (PDF)
has document: Cyber Insurance and the Cyber Security Challenge (Other)
has published: Cyber Insurance and the Cyber Security Challenge (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

HF5351 Business
type: Concept

James Sullivan
family name: Sullivan
given name: James
type: Person

Jamie MacColl
family name: MacColl
given name: Jamie
type: Person

RUSI Occasional Paper
issn: 23970286
type: Collection

HTML Summary of #84285 A Cyber-Security Strategy for Internationally-dispersed Industrial Networks
format: text/html
primary topic: A Cyber-Security Strategy for Internationally-dispersed Industrial Networks

A Cyber-Security Strategy for Internationally-dispersed Industrial Networks (PDF)
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A Cyber-Security Strategy for Internationally-dispersed Industrial Networks (Other)
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type: Document

A Cyber-Security Strategy for Internationally-dispersed Industrial Networks (Other)
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A Cyber-Security Strategy for Internationally-dispersed Industrial Networks (Other)
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type: Document

A Cyber-Security Strategy for Internationally-dispersed Industrial Networks (Other)
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A Cyber-Security Strategy for Internationally-dispersed Industrial Networks (Other)
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A Cyber-Security Strategy for Internationally-dispersed Industrial Networks
abstract: Globalization implies geographically dispersed supply chains composed of facilities strategically located in several countries and regions of the world. These structures commonly involve several Operational Technology (OT) and Information Technology (IT) infrastructures and integration to enable accurate and useful information processing. Such integration (also called Cyber-Physical Systems) transforms the industry and facilitates massive data volumes' systematic transformation into valuable information. Security risks posed by such integration may be substantial and, depending on the size of the company, and the number of integration points, dealing with them could easily cost millions of dollars. With the main objective of studying available strategies to manage security risks in companies with dispersed supply chains, this paper reviews international cyber-security standards and regulations and proposes a more comprehensive strategy. The strategy includes IT services, optimized perimeter segregation, and data flow policies among OT and IT networks to balance a high level of protection and cost-effectiveness.
author list: authors
status: peerReviewed
status: published
has version: A Cyber-Security Strategy for Internationally-dispersed Industrial Networks (PDF)
creator: Alexandre Gonzalez
creator: Antonio Lemos Maia Neto
creator: Ralf Luis de Moura
creator: Virginia N. L. Franqueira
date: 2021-06-23
is part of: repository
subject: QA 75 Electronic computers. Computer science
has accepted: A Cyber-Security Strategy for Internationally-dispersed Industrial Networks (PDF)
has document: A Cyber-Security Strategy for Internationally-dispersed Industrial Networks (PDF)
has document: A Cyber-Security Strategy for Internationally-dispersed Industrial Networks (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
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2020 International Conference on Computational Science & Computational Intelligence (CSCI)
type: Conference
type: Event

Alexandre Gonzalez
family name: Gonzalez
given name: Alexandre
type: Person

Antonio Lemos Maia Neto
family name: Neto
given name: Antonio Lemos Maia
type: Person

HTML Summary of #88249 Zooid: A DSL for Certified Multiparty Computation
format: text/html
primary topic: Zooid: A DSL for Certified Multiparty Computation

Zooid: A DSL for Certified Multiparty Computation (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Zooid: A DSL for Certified Multiparty Computation (Other)
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Zooid: A DSL for Certified Multiparty Computation (Other)
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Zooid: A DSL for Certified Multiparty Computation (Other)
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Zooid: A DSL for Certified Multiparty Computation (Other)
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Zooid: A DSL for Certified Multiparty Computation (Other)
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Zooid: A DSL for Certified Multiparty Computation
abstract: We design and implement Zooid, a domain specific language for certified multiparty communication, embedded in Coq and implemented atop our mechanisation framework of asynchronous multiparty session types (the first of its kind). Zooid provides a fully mechanised metatheory forthe semantics of global and local types, and a fully verified end-point process language that faithfully reflects the type-level behaviours and thus inherits the global types properties such as deadlock freedom, protocol compliance, and liveness guarantees.
author list: authors
status: peerReviewed
status: published
has version: Zooid: A DSL for Certified Multiparty Computation (PDF)
creator: David Castro-Perez
creator: Francisco Ferreira
creator: Lorenzo Gheri
creator: Nobuko Yoshida
date: 2021-06-19
is part of: repository
subject: QA 76 Software, computer programming,
has accepted: Zooid: A DSL for Certified Multiparty Computation (PDF)
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type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

42nd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2021)
type: Conference
type: Event

Virtual
type: SpatialThing

David Castro-Perez
family name: Castro-Perez
given name: David
type: Person

Francisco Ferreira
family name: Ferreira
given name: Francisco
type: Person

Lorenzo Gheri
family name: Gheri
given name: Lorenzo
type: Person

Nobuko Yoshida
family name: Yoshida
given name: Nobuko
type: Person

HTML Summary of #89067 Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration
format: text/html
primary topic: Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration

Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration (PDF)
type: Document

Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration (Other)
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Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration (Other)
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Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration (Other)
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Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration (Other)
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Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration (Other)
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type: Document

Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration
abstract: Large industries usually imply geographically dispersed supply chains composed of facilities localized in diverse regions. These facilities commonly involve operational technology (OT) (i.e., industrial control systems—ICS) and information technology (IT) infrastructures, which require integration to enable information processing. Such integration, achieved through cyber-physical systems, and leveraged by the Industry 4.0 emergence, may transform the industry and facilitate the transformation of vast data volumes into valuable information. Security risks posed by dispersed cyber-physical systems may be substantial, and dealing with cybersecurity issues in such context could be very expensive. This study reviews directives regarding cybersecurity risks in companies with dispersed supply chains and also applicable international cybersecurity standards and regulations to derive a strategy to manage cybersecurity in integrated industrial networks. The strategy proposes centralized services, optimized perimeter segregation, and data flow policies among OT and IT networks to balance the trade-off between a high level of protection with cost-effectiveness.
author list: authors
status: peerReviewed
status: published
has version: Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration (PDF)
creator: Alexandre Gonzalez
creator: Antonio Lemos Maia Neto
creator: Gustavo Pessin
creator: Ralf Luis de Moura
creator: Virginia N. L. Franqueira
date: 2021-06-16
is part of: repository
subject: QA 75 Electronic computers. Computer science
has document: Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration (PDF)
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HTML Summary of #89179 Avoiding Monomorphisation Bottlenecks with Phase-based Splitting
format: text/html
primary topic: Avoiding Monomorphisation Bottlenecks with Phase-based Splitting

Avoiding Monomorphisation Bottlenecks with Phase-based Splitting (PDF)
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Avoiding Monomorphisation Bottlenecks with Phase-based Splitting (Other)
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Avoiding Monomorphisation Bottlenecks with Phase-based Splitting (Other)
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Avoiding Monomorphisation Bottlenecks with Phase-based Splitting (Other)
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Avoiding Monomorphisation Bottlenecks with Phase-based Splitting (Other)
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Avoiding Monomorphisation Bottlenecks with Phase-based Splitting (Other)
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Avoiding Monomorphisation Bottlenecks with Phase-based Splitting
author list: authors
status: peerReviewed
status: unpublished
has version: Avoiding Monomorphisation Bottlenecks with Phase-based Splitting (PDF)
creator: Richard E. Jones
creator: Stefan Marr
creator: Sophie Kaleba
date: 2021-06-15
is part of: repository
has accepted: Avoiding Monomorphisation Bottlenecks with Phase-based Splitting (PDF)
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type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

Richard E. Jones
family name: Jones
given name: Richard E.
type: Person
given name: Richard
name: Richard Jones

Sophie Kaleba
family name: Kaleba
given name: Sophie
type: Person

HTML Summary of #91394 Auditory evoked potential detection during pure-tone audiometry
format: text/html
primary topic: Auditory evoked potential detection during pure-tone audiometry

Auditory evoked potential detection during pure-tone audiometry (PDF)
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Auditory evoked potential detection during pure-tone audiometry (Other)
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type: Document

Auditory evoked potential detection during pure-tone audiometry (Other)
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Auditory evoked potential detection during pure-tone audiometry (Other)
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Auditory evoked potential detection during pure-tone audiometry (Other)
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Auditory evoked potential detection during pure-tone audiometry (Other)
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Auditory evoked potential detection during pure-tone audiometry
abstract: Modern audiometry is largely a behavioural task, with the pure-tone audiogram (PTA) being the gold standard for evaluating frequency-specific hearing thresholds in adults. The nature of behavioural audiometry makes estimating accurate hearing thresholds difficult in infants and people with disabilities, where following instructions or interacting with the test may be difficult or impossible. We propose a method in which Auditory Evoked Potentials (AEPs) are used as an alternative to behavioural audiometry for detecting frequency-specific thresholds. Specifically, P300 responses elicited by the tones of a PTA are automatically detected from electroencephalogram (EEG) data, to evaluate hearing acuity. To assess the effectiveness of this method, we created a dataset of EEG recordings from participants presented with a series of pure tones at 6 different frequencies with steadily decreasing volumes, during a PTA test. This dataset was used to train a support vector machine (SVM) to identify when a participant was played a tone, whether they perceived it or not using their EEG. Results demonstrate that detecting hearing events can be very accurate for participants for whom the classifier has been trained apriori. However, accuracy drops significantly for unseen participants - when the classifier has not been trained on any prior data from a given participant before classifying their EEG. However, by establishing that AEP response-based audiometry is viable for detecting tones, future work will explore the ability of more powerful deep neural networks to accurately estimate for unseen participants.
author list: authors
status: peerReviewed
status: published
has version: Auditory evoked potential detection during pure-tone audiometry (PDF)
creator: George Langroudi
creator: I. McLoughlin
creator: Ramaswamy Palaniappan
date: 2021-06-02
is part of: repository
has accepted: Auditory evoked potential detection during pure-tone audiometry (PDF)
has document: Auditory evoked potential detection during pure-tone audiometry (PDF)
has document: Auditory evoked potential detection during pure-tone audiometry (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

10th International IEEE/EMBS Conference on Neural Engineering (NER)
type: Conference
type: Event

Italy
type: SpatialThing

George Langroudi
family name: Langroudi
given name: George
type: Person

HTML Summary of #86568 Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study
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primary topic: Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study

Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (XML Word Processing Document (DOCX))
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Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (Other)
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Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (PDF)
has part: NER2021_EMDR_FINAL.pdf
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Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (Other)
is index codes version of: Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (PDF)
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Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (Other)
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Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (Other)
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Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (Other)
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Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (Other)
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Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study
abstract: In order to reduce motion sickness (MS), a novel vibro-motor reprocessing therapy (VRT), based on an Eye Movement Desensitization and Reprocessing (EMDR) technique is investigated. To the best of the authors knowledge, this is the first time that reprocessing therapy has been evaluated for alleviating MS. Experimentally, MS was induced using visual stimulus of motion videos. Subjective MS was then recorded at baseline for both VRT and non-VRT stimulation conditions, and after each condition, evaluated using a Motion Sickness Assessment Questionnaire (MSAQ). MSAQ scores were compared for both conditions in eight test subjects, with a significant and clear reduction in motion sickness symptoms revealed when applying VRT stimulation. While the subject pool is small, this pilot study indicates that the proposed approach has potential for future exploration in terms of non-pharmacological treatment and management of MS.
author list: authors
status: peerReviewed
status: published
has version: Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (XML Word Processing Document (DOCX))
has version: Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (PDF)
creator: Emmanuel Molefi
creator: I. McLoughlin
creator: Ramaswamy Palaniappan
date: 2021-06-02
is part of: repository
subject: Q Science
subject: QA Mathematics (inc Computing science)
subject: RM Therapeutics. Pharmacology
subject: RZ Other systems of medicine
has accepted: Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (XML Word Processing Document (DOCX))
has accepted: Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (PDF)
has document: Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (XML Word Processing Document (DOCX))
has document: Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (Other)
has document: Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

RM Therapeutics. Pharmacology
type: Concept

RZ Other systems of medicine
type: Concept

10th International IEEE EMBS Conference on Neural Engineering
type: Conference
type: Event

Emmanuel Molefi
family name: Molefi
given name: Emmanuel
type: Person

HTML Summary of #90261 Program Verification Using Polynomials Over Modular Arithmetic
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primary topic: Program Verification Using Polynomials Over Modular Arithmetic

Program Verification Using Polynomials Over Modular Arithmetic (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Program Verification Using Polynomials Over Modular Arithmetic (Other)
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Program Verification Using Polynomials Over Modular Arithmetic (Other)
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Program Verification Using Polynomials Over Modular Arithmetic (Other)
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Program Verification Using Polynomials Over Modular Arithmetic (Other)
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Program Verification Using Polynomials Over Modular Arithmetic (Other)
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Program Verification Using Polynomials Over Modular Arithmetic
abstract: As program verification has matured as a discipline, so distinct topics have emerged and then developed into thriving sub-disciplines, each with their own language and focus. In Satisfiability Modulo Theories (SMT) solving the focus is on deciding the satisfiability of formulae over predicates (constraints) drawn from a background theory. If a SMT formula encodes the existence of a problematic path through a program, then a model of the formula will expose a fault as demonstrated with a counter-example. In abstract interpretation, on the other hand, the objective is typically to infer invariants for a program so as to demonstrate the absence of a fault. These complementary sub-disciplines do not exist in silos completing against one another: one sub-discipline informs the other. This thesis illustrates how these sub-disciplines cross-fertilise in both directions: presenting a new abstract domain that draws on techniques from SMT solving, namely solving systems of symbolic equations (theory solving). One fundamental operation used in the domain construction applies a propagation technique that suggests how the satisfiability the SMT formulae can be reduced to that of deciding the satisfiability of a compact SAT instance. This leads to a new technique for SMT solving. Although developed in tandem, for sake of presentation the thesis first addresses the satisfiability of systems of polynomial equations over bit-vectors. Instead of conventional bit-blasting, we exploit word-level inference to translate these systems into non-linear pseudo-boolean constraints. We derive the pseudo-booleans by simulating bit assignments through the addition of (linear) polynomials and applying a strong form of propagation by computing Gröbner bases, which provide an analog of a triangular form for systems of polynomials. By handling bit assignments symbolically, the number of Gröbner basis calculations, along with the number of assignments, is reduced. The final Gröbner basis yields an as…
author list: authors
degree: phd
status: published
creator: Thomas Seed
date: 2021-06
is part of: repository
subject: QA 76 Software, computer programming,
has document: Program Verification Using Polynomials Over Modular Arithmetic (PDF)
has document: Program Verification Using Polynomials Over Modular Arithmetic (Other)
type: Article
type: Thesis
type: EPrint
type: ThesisEPrint

Andy King
family name: King
given name: Andy
type: Person

Thomas Seed
family name: Seed
given name: Thomas
type: Person

HTML Summary of #91360 Learning Actions From Natural Language Instructions Using an ON-World Embodied Cognitive Architecture
format: text/html
primary topic: Learning Actions From Natural Language Instructions Using an ON-World Embodied Cognitive Architecture

Learning Actions From Natural Language Instructions Using an ON-World Embodied Cognitive Architecture
abstract: Endowing robots with the ability to view the world the way humans do, to understand natural language and to learn novel semantic meanings when they are deployed in the physical world, is a compelling problem. Another significant aspect is linking language to action, in particular, utterances involving abstract words, in artificial agents. In this work, we propose a novel methodology, using a brain-inspired architecture, to model an appropriate mapping of language with the percept and internal motor representation in humanoid robots. This research presents the first robotic instantiation of a complex architecture based on the Baddeley's Working Memory (WM) model. Our proposed method grants a scalable knowledge representation of verbal and non-verbal signals in the cognitive architecture, which supports incremental open-ended learning. Human spoken utterances about the workspace and the task are combined with the internal knowledge map of the robot to achieve task accomplishment goals. We train the robot to understand instructions involving higher-order (abstract) linguistic concepts of developmental complexity, which cannot be directly hooked in the physical world and are not pre-defined in the robot's static self-representation. Our proposed interactive learning method grants flexible run-time acquisition of novel linguistic forms and real-world information, without training the cognitive model anew. Hence, the robot can adapt to new workspaces that include novel objects and task outcomes. We assess the potential of the proposed methodology in verification experiments with a humanoid robot. The obtained results suggest robust capabilities of the model to link language bi-directionally with the physical environment and solve a variety of manipulation tasks, starting with limited knowledge and gradually learning from the run-time interaction with the tutor, past the pre-trained stage.
author list: authors
status: peerReviewed
status: published
volume: 15
creator: Giovanni Masala
date: 2021-05-13
is part of: repository
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Frontiers Media
type: Organization

I. Giorgi
family name: Giorgi
given name: I.
type: Person

A. Cangelosi
family name: Cangelosi
given name: A.
type: Person

Frontiers in Neurorobotics
type: Collection

HTML Summary of #87284 Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online
format: text/html
primary topic: Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online

Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (PDF)
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Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (Other)
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Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (Other)
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Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (Other)
is version of: Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (PDF)
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Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (Other)
is version of: Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (PDF)
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Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (Other)
is version of: Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (PDF)
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Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online
abstract: Performers acutely need but lack tools to remotely rehearse and create live theatre, particularly due to global restrictions on social interactions during the Covid-19 pandemic. No studies, however, have heretofore examined how remote video-collaboration affects performance. This paper presents the findings of a field study with 16 domain experts over six weeks investigating how tele-immersion affects the rehearsal and performance of improvisational theatre. To conduct the study, an original media server was developed for co-locating remote performers into shared virtual 3D environments which were accessed through popular video conferencing software. The results of this qualitative study indicate that tele-immersive environments uniquely provide performers with a strong sense of co- presence, feelings of physical connection, and an increased ability to enter the social-flow states required for improvisational theatre. Based on our observations, we put forward design recommendations for video collaboration tools tailored to the unique demands of live performance.
author list: authors
status: peerReviewed
status: published
has version: Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (PDF)
creator: Boyd Branch
creator: C. Efstratiou
creator: Kory Mathewson
creator: Paul Allain
creator: Piotr Mirowski
date: 2021-05-06
is part of: repository
subject: QA76.9.H85 Human computer interaction
has accepted: Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (PDF)
has document: Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (PDF)
has document: Tele-Immersive Improv: Effects of Immersive Visualisations on Rehearsing and Performing Theatre Online (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

CHI Conference on Human Factors in Computing Systems 2021
type: Conference
type: Event

Yokohama Japan
type: SpatialThing

Boyd Branch
family name: Branch
given name: Boyd
type: Person

Kory Mathewson
family name: Mathewson
given name: Kory
type: Person

Paul Allain
family name: Allain
given name: Paul
type: Person

Piotr Mirowski
family name: Mirowski
given name: Piotr
type: Person

HTML Summary of #85592 Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving
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primary topic: Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving

Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving (PDF)
has part: CHI2021_MemoryHome_CameraReady.pdf
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Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving (Other)
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Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving (Other)
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Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving (Other)
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Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving (Other)
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Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving (Other)
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Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving
abstract: Prolong Grief Disorder (PGD) is a condition in which mourners are stuck in the grief process for a prolonged period and continue to suffer from an intense, mal-adaptive level of grief. Despite the increased popularity of virtual mourning practices, and subsequently the emergence of HCI research in this area, there is little research looking into how continuing bonds maintained digitally promote or impede bereavement adjustment. Through a one-month diary study and in-depth interviews with 17 participants who recently lost their loved ones, we identified four broad mechanisms of how grievers engage in what we called "backstage" grieving (as opposed to bereavement through digital public space like social media). We further discuss how this personal and private grieving is important in maintaining emotional well-being hence avoiding developing PGD, as well as possible design opportunities and challenges for future digital tools to support grieving.
author list: authors
status: peerReviewed
status: published
has version: Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving (PDF)
creator: Chee Siang Ang
date: 2021-05-06
is part of: repository
subject: QA76.9.H85 Human computer interaction
has accepted: Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving (PDF)
has document: Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving (PDF)
has document: Living Memory Home: Understanding Continuing Bond in the Digital Age through Backstage Grieving (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

ACM SIGCHI 2021
type: Conference
type: Event

Panote Siriaraya
family name: Siriaraya
given name: Panote
type: Person

Holly Prigerson
family name: Prigerson
given name: Holly
type: Person

Wan Jou She
family name: She
given name: Wan Jou
type: Person

HTML Summary of #87962 The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter
format: text/html
primary topic: The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter

The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (PDF)
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type: Document

The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (PDF)
type: Document

The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (Other)
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The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (Other)
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The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (Other)
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The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (Other)
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The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (Other)
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The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (Other)
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The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (Other)
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The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (Other)
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The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (Other)
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The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (Other)
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The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter
abstract: Emojis have established themselves as a popular means of communication in online messaging. Despite the apparent ubiquity in these image-based tokens, however, interpretation and ambiguity may allow for unique uses of emojis to appear. In this paper, we present the first examination of emoji usage by hacktivist groups via a study of the Anonymous collective on Twitter. This research aims to identify whether Anonymous affiliates have evolved their own approach to using emojis. To do this, we compare a large dataset of Anonymous tweets to a baseline tweet dataset from randomly sampled Twitter users using computational and qualitative analysis to compare their emoji usage. We utilise Word2Vec language models to examine the semantic relationships between emojis, identifying clear distinctions in the emoji-emoji relationships of Anonymous users. We then explore how emojis are used as a means of conveying emotions, finding that despite little commonality in emoji-emoji semantic ties, Anonymous emoji usage displays similar patterns of emotional purpose to the emojis of baseline Twitter users. Finally, we explore the textual context in which these emojis occur, finding that although similarities exist between the emoji usage of our Anonymous and baseline Twitter datasets, Anonymous users appear to have adopted more specific interpretations of certain emojis. This includes the use of emojis as a means of expressing adoration and infatuation towards notable Anonymous affiliates. These findings indicate that emojis appear to retain a considerable degree of similarity within Anonymous accounts as compared to more typical Twitter users. However, their are signs that emoji usage in Anonymous accounts has evolved somewhat, gaining additional group-specific associations that reveal new insights into the behaviours of this unusual collective.
author list: authors
status: peerReviewed
status: published
has version: The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (PDF)
creator: Jason R. C. Nurse
creator: Keenan Jones
creator: Shujun Li
date: 2021-04-30
is part of: repository
subject: HM Sociology
subject: QA 76 Software, computer programming,
subject: T Technology
has accepted: The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (PDF)
has document: The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (PDF)
has document: The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collective's Use of Emojis on Twitter (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

4th​ International Workshop on Emoji Understanding and Applications in Social Media
type: Conference
type: Event

HTML Summary of #88045 Can We Break the Landauer Bound in Spin-Based Electronics?
format: text/html
primary topic: Can We Break the Landauer Bound in Spin-Based Electronics?

Can We Break the Landauer Bound in Spin-Based Electronics? (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Can We Break the Landauer Bound in Spin-Based Electronics? (Other)
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Can We Break the Landauer Bound in Spin-Based Electronics? (Other)
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Can We Break the Landauer Bound in Spin-Based Electronics? (Other)
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Can We Break the Landauer Bound in Spin-Based Electronics? (Other)
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Can We Break the Landauer Bound in Spin-Based Electronics? (Other)
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Can We Break the Landauer Bound in Spin-Based Electronics?
abstract: We found that the minimum energy of reading or erasing a spin datum should be expressed by delta E = 2*uB*B, in contrast to delta E = kB*T*ln(2) proposed by Landauer in 1961. The physics of using a spin'sorientation to represent a bit of information is fundamentally different from that of using a particle's position in classical charge-based data storage: the former is quantum-dynamic (independent of temperature below the Curie point), whereas the latter is thermodynamic (dependent on temperature). Quantitatively, this newenergy bound associated with a new information erasure protocol was estimated as 1.64e-36 J, 15 orders of magnitude lower than the Landauer bound (3e-21 J), at no cost of angular momentum and increasedtotal entropy. In this new information erasure protocol, there is no need to move the electron from one side of the potential well to the other side otherwise the energy used to retain the defined spin state still needs to be greater than the existing thermal fluctuation (the Landauer bound). We verified our new energy bound based on a number of experiments including the Rydberg atom and the spin-spin interaction.
author list: authors
status: peerReviewed
status: published
volume: 9
has version: Can We Break the Landauer Bound in Spin-Based Electronics? (PDF)
creator: Frank Z. Wang
date: 2021-04-29
is part of: repository
is part of: IEEE Access
subject: Q Science
subject: QA 75 Electronic computers. Computer science
has document: Can We Break the Landauer Bound in Spin-Based Electronics? (PDF)
has document: Can We Break the Landauer Bound in Spin-Based Electronics? (Other)
has published: Can We Break the Landauer Bound in Spin-Based Electronics? (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Frank Z. Wang
family name: Wang
given name: Frank Z.
type: Person

HTML Summary of #89443 Euler diagrams drawn with ellipses area‑proportionally (Edeap)
format: text/html
primary topic: Euler diagrams drawn with ellipses area‑proportionally (Edeap)

Euler diagrams drawn with ellipses area‑proportionally (Edeap) (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Wybrow2021_Article_EulerDiagramsDrawnWithEllipses.pdf
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type: Document

Euler diagrams drawn with ellipses area‑proportionally (Edeap) (Other)
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Euler diagrams drawn with ellipses area‑proportionally (Edeap) (Other)
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Euler diagrams drawn with ellipses area‑proportionally (Edeap) (Other)
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Euler diagrams drawn with ellipses area‑proportionally (Edeap) (Other)
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Euler diagrams drawn with ellipses area‑proportionally (Edeap) (Other)
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Euler diagrams drawn with ellipses area‑proportionally (Edeap)
abstract: Background: Area-proportional Euler diagrams are frequently used to visualize data from Microarray experiments, but are also applied to a wide variety of other data from biosciences, social networks and other domains. Results: This paper details Edeap, a new simple, scalable method for drawing areaproportional Euler diagrams with ellipses. We use a search-based technique optimizing a multi-criteria objective function that includes measures for both area accuracy and usability, and which can be extended to further user-defned criteria. The Edeap software is available for use on the web, and the code is open source. In addition to describing our system, we present the frst extensive evaluation of software for producing area-proportional Euler diagrams, comparing Edeap to the current state-of-the-art; circle-based method, venneuler, and an alternative ellipse-based method, eulerr. Conclusions: Our evaluation—using data from the Gene Ontology database via GoMiner, Twitter data from the SNAP database, and randomly generated data sets—shows an ordering for accuracy (from best to worst) of eulerr, followed by Edeap and then venneuler. In terms of runtime, the results are reversed with venneuler being the fastest, followed by Edeap and fnally eulerr. Regarding scalability, eulerr cannot draw non-trivial diagrams beyond 11 sets, whereas no such limitation is present in Edeap or venneuler, both of which draw diagrams up to the tested limit of 20 sets.
author list: authors
status: peerReviewed
status: published
volume: 22
has version: Euler diagrams drawn with ellipses area‑proportionally (Edeap) (PDF)
creator: Fadi Dib
creator: Michael Wybrow
creator: Peter Rodgers
date: 2021-04-26
is part of: repository
is part of: BMC Bioinformatics
subject: QA 76 Software, computer programming,
has document: Euler diagrams drawn with ellipses area‑proportionally (Edeap) (PDF)
has document: Euler diagrams drawn with ellipses area‑proportionally (Edeap) (Other)
has published: Euler diagrams drawn with ellipses area‑proportionally (Edeap) (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Fadi Dib
family name: Dib
given name: Fadi
type: Person

Michael Wybrow
family name: Wybrow
given name: Michael
type: Person

HTML Summary of #90374 Self-organizing fuzzy inference ensemble system for big streaming data classification
format: text/html
primary topic: Self-organizing fuzzy inference ensemble system for big streaming data classification

Self-organizing fuzzy inference ensemble system for big streaming data classification
abstract: An evolving intelligent system (EIS) is able to self-update its system structure and meta-parameters from streaming data. However, since the majority of EISs are implemented on a single-model architecture, their performances on large-scale, complex data streams are often limited. To address this deficiency, a novel self-organizing fuzzy inference ensemble framework is proposed in this paper. As the base learner of the proposed ensemble system, the self-organizing fuzzy inference system is capable of self-learning a highly transparent predictive model from streaming data on a chunk-by-chunk basis through a human-interpretable process. Very importantly, the base learner can continuously self-adjust its decision boundaries based on the inter-class and intra-class distances between prototypes identified from successive data chunks for higher classification precision. Thanks to its parallel distributed computing architecture, the proposed ensemble framework can achieve great classification precision while maintain high computational efficiency on large-scale problems. Numerical examples based on popular benchmark big data problems demonstrate the superior performance of the proposed approach over the state-of-the-art alternatives in terms of both classification accuracy and computational efficiency.
author list: authors
status: peerReviewed
status: published
volume: 218
creator: Xiaowei Gu
date: 2021-04-22
is part of: repository
is part of: Knowledge-Based Systems
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Plamen Angelov
family name: Angelov
given name: Plamen
type: Person

Zhijin Zhao
family name: Zhao
given name: Zhijin
type: Person

HTML Summary of #90395 A Novel Data-driven Approach to Autonomous Fuzzy Clustering
format: text/html
primary topic: A Novel Data-driven Approach to Autonomous Fuzzy Clustering

A Novel Data-driven Approach to Autonomous Fuzzy Clustering
abstract: In this paper, a new data-driven autonomous fuzzy clustering (AFC) algorithm is proposed for static data clustering. Employing a Gaussian-type membership function, AFC firstly uses all the data samples as micro-cluster medoids to assign memberships to each other and obtains the membership matrix. Based on this, AFC chooses these data samples that represent local models of data distribution as cluster medoids for initial partition. It then continues to optimize the cluster medoids iteratively to obtain a locally optimal partition as the algorithm output. Moreover, an online extension is introduced to AFC enabling the algorithm to cluster streaming data chunk-by-chunk in a one pass manner. Numerical examples based on a variety of benchmark problems demonstrate the efficacy of the AFC algorithm in both offline and online application scenarios, proving the effectiveness and validity of the proposed concept and general principles.
author list: authors
status: peerReviewed
status: published
creator: Xiaowei Gu
date: 2021-04-20
is part of: repository
is part of: IEEE Transactions on Fuzzy Systems
subject: QA 76 Software, computer programming,
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Qiang Ni
family name: Ni
given name: Qiang
type: Person

Guolin Tang
family name: Tang
given name: Guolin
type: Person

HTML Summary of #91358 HRV features as viable physiological markers for stress detection using wearable devices
format: text/html
primary topic: HRV features as viable physiological markers for stress detection using wearable devices

HRV features as viable physiological markers for stress detection using wearable devices
abstract: Stress has been identified as one of the major causes of automobile crashes which then lead to high rates of fatalities and injuries each year. Stress can be measured via physiological measurements and in this study the focus will be based on the features that can be extracted by common wearable devices. Hence, the study will be mainly focusing on heart rate variability (HRV). This study is aimed at investigating the role of HRV-derived features as stress markers. This is achieved by developing a good predictive model that can accurately classify stress levels from ECG-derived HRV features, obtained from automobile drivers, by testing different machine learning methodologies such as K-Nearest Neighbor (KNN), Support Vector Machines (SVM), Multilayer Perceptron (MLP), Random Forest (RF) and Gradient Boosting (GB). Moreover, the models obtained with highest predictive power will be used as reference for the development of a machine learning model that would be used to classify stress from HRV features derived from heart rate measurements obtained from wearable devices. We demonstrate that HRV features constitute good markers for stress detection as the best machine learning model developed achieved a Recall of 80%. Furthermore, this study indicates that HRV metrics such as the Average of normal-to-normal (NN) intervals (AVNN), Standard deviation of the average NN intervals (SDNN) and the Root mean square differences of successive NN intervals (RMSSD) were important features for stress detection. The proposed method can be also used on all applications in which is important to monitor the stress levels in a non-invasive manner, e.g., in physical rehabilitation, anxiety relief or mental wellbeing.
author list: authors
issue: 8
status: peerReviewed
status: published
volume: 21
creator: Giovanni Masala
date: 2021-04-19
is part of: repository
is part of: Sensors
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

K.M. Dalmeida
family name: Dalmeida
given name: K.M.
type: Person

Sensors
issn: 14248220
type: Collection
name: Sensors (Basel, Switzerland)

HTML Summary of #87057 Evaluating Free Rides and Observational Advantages in Set Visualizations
format: text/html
primary topic: Evaluating Free Rides and Observational Advantages in Set Visualizations

Evaluating Free Rides and Observational Advantages in Set Visualizations (PDF)
type: Document

Evaluating Free Rides and Observational Advantages in Set Visualizations (Other)
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Evaluating Free Rides and Observational Advantages in Set Visualizations (Other)
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Evaluating Free Rides and Observational Advantages in Set Visualizations (Other)
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Evaluating Free Rides and Observational Advantages in Set Visualizations (Other)
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Evaluating Free Rides and Observational Advantages in Set Visualizations (Other)
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Evaluating Free Rides and Observational Advantages in Set Visualizations (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Evaluating Free Rides and Observational Advantages in Set Visualizations (Other)
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Evaluating Free Rides and Observational Advantages in Set Visualizations (Other)
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Evaluating Free Rides and Observational Advantages in Set Visualizations (Other)
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Evaluating Free Rides and Observational Advantages in Set Visualizations (Other)
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Evaluating Free Rides and Observational Advantages in Set Visualizations (Other)
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Evaluating Free Rides and Observational Advantages in Set Visualizations
abstract: Free rides and observational advantages occur in visualizations when they reveal facts that must be inferred from an alternative representation. Understanding whether these concepts correspond to cognitive advantages is important: do they facilitate information extraction, saving the `deductive cost' of making inferences? This paper presents the first evaluations of free rides and observational advantages in visualizations of sets compared to text. We found that, for Euler and linear diagrams, free rides and observational advantages yielded significant improvements in task performance. For Venn diagrams, whilst their observational advantages yielded significant performance benefits over text, this was not universally true for free rides. The consequences are two-fold: more research is needed to establish when free rides are beneficial, and the results suggest that observational advantages better explain the cognitive advantages of diagrams over text. A take-away message is that visualizations with observational advantages are likely to be cognitively advantageous over competing representations.
author list: authors
status: peerReviewed
status: published
has version: Evaluating Free Rides and Observational Advantages in Set Visualizations (PDF)
creator: Andrew Blake
creator: Anestis Touloumis
creator: Gem Stapleton
creator: Peter Rodgers
date: 2021-04-15
is part of: repository
is part of: Journal of Logic, Language and Information
subject: QA Mathematics (inc Computing science)
has accepted: Evaluating Free Rides and Observational Advantages in Set Visualizations (PDF)
has document: Evaluating Free Rides and Observational Advantages in Set Visualizations (PDF)
has document: Evaluating Free Rides and Observational Advantages in Set Visualizations (Other)
has published: Evaluating Free Rides and Observational Advantages in Set Visualizations (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Andrew Blake
family name: Blake
given name: Andrew
type: Person

Anestis Touloumis
family name: Touloumis
given name: Anestis
type: Person

Gem Stapleton
family name: Stapleton
given name: Gem
type: Person

Journal of Logic, Language and Information
issn: 09258531
type: Collection

HTML Summary of #91411 Auricular vagus nerve stimulation for stress reduction: Evidence from alpha prefrontal asymmetry
format: text/html
primary topic: Auricular vagus nerve stimulation for stress reduction: Evidence from alpha prefrontal asymmetry

Auricular vagus nerve stimulation for stress reduction: Evidence from alpha prefrontal asymmetry
abstract: This study explores auricular vagus nerve stimulation (aVNS) within the context of stress. Five healthy subjects underwent a pulsed mode aVNS (with a frequency of 25 Hz and pulse width of 200 μs) using a custom made current stimulation device. The device triggered the auricular vagus nerve branch through the tragus for 15 minutes, with prefrontal EEG data collected pre and post aVNS (each for 5 minutes) to capture stress indicators. Given that the frontal location is prone to noise, EEG signal pre-processing through independent component analysis (ICA) was used to reduce eye movements and other artifacts. Alpha (8-14 Hz) asymmetry in prefrontal location in both hemispheres was computed from locations Fp1 and Fp2 for one second segments of EEG; these asymmetry values were normalised by subtracting the post aVNS (or placebo) from pre aVNS (placebo). The normalised alpha frontal asymmetries were assessed for statistical significance using T-test. Results showed increased aVNS alpha prefrontal asymmetry compared to placebo, indicating reduced stress. This was statistically significant ( ) for all five subjects. It is therefore concluded that the pulsed mode aVNS stimulation at the tragus may represent a potential approach for stress relief.
author list: authors
status: peerReviewed
status: published
creator: I. McLoughlin
creator: Ramaswamy Palaniappan
date: 2021-04-14
is part of: repository
subject: R858 Computer applications to medicine. Medical informatics. Medical information technology
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)
type: Conference
type: Event

Langkawi, Malaysia
type: SpatialThing

Rahul Kanegaonkar
family name: Kanegaonkar
given name: Rahul
type: Person

Evangelia Fringi
family name: Fringi
given name: Evangelia
type: Person

Surej Mouli
family name: Mouli
given name: Surej
type: Person

Jane Ollis
family name: Ollis
given name: Jane
type: Person

Sunil Arora
family name: Arora
given name: Sunil
type: Person

HTML Summary of #91402 Design of a Deep Post Gripping Perception Framework for Industrial Robots
format: text/html
primary topic: Design of a Deep Post Gripping Perception Framework for Industrial Robots

Design of a Deep Post Gripping Perception Framework for Industrial Robots
abstract: The use of flexible and autonomous robotic systems is a possible solution for automation in dynamic and unstructured industrial environments. Pick and place robotic applications are becoming common for the automation of manipulation tasks in an industrial context. This context requires the robot to be aware of its surroundings throughout the whole manipulation task, even after accomplishing the gripping action. This work introduces the deep post gripping perception framework, which includes post gripping perception abilities realized with the help of deep learning techniques, mainly unsupervised learning methods. These abilities help robots to execute a stable and precise placing of the gripped items while respecting the process quality requirements. The framework development is described based on the results of a literature review on post gripping perception functions and frameworks. This results in a modular design using three building components to realize planning, monitoring and verifying modules. Experimental evaluation of the framework shows its advantages in terms of process quality and stability in pick and place applications.
author list: authors
issue: 2
status: peerReviewed
status: published
volume: 21
creator: Giovanni Masala
date: 2021-04-01
is part of: repository
is part of: Journal of Computing and Information Science in Engineering
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

The American Society of Mechanical Engineers
type: Organization

Firas Zoghlami
family name: Zoghlami
given name: Firas
type: Person

Vahid Salehi
family name: Salehi
given name: Vahid
type: Person

Philip Kurrek
family name: Kurrek
given name: Philip
type: Person

Mark Jocas
family name: Jocas
given name: Mark
type: Person

Journal of Computing and Information Science in Engineering
issn: 15309827
type: Collection

HTML Summary of #87545 CogTool+: Modeling human performance at large scale
format: text/html
primary topic: CogTool+: Modeling human performance at large scale

CogTool+: Modeling human performance at large scale (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: ACMTOCHI2021.pdf
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CogTool+: Modeling human performance at large scale (Other)
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CogTool+: Modeling human performance at large scale (Other)
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CogTool+: Modeling human performance at large scale (Other)
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CogTool+: Modeling human performance at large scale (Other)
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CogTool+: Modeling human performance at large scale (Other)
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CogTool+: Modeling human performance at large scale
abstract: Cognitive modeling tools have been widely used by researchers and practitioners to help design, evaluate and study computer user interfaces (UIs). Despite their usefulness, large-scale modeling tasks can still be very challenging due to the amount of manual work needed. To address this scalability challenge, we propose CogTool+, a new cognitive modeling software framework developed on top of the well-known software tool CogTool. CogTool+ addresses the scalability problem by supporting the following key features: 1) a higher level of parameterization and automation; 2) algorithmic components; 3) interfaces for using external data; 4) a clear separation of tasks, which allows programmers and psychologists to define reusable components (e.g., algorithmic modules and behavioral templates) that can be used by UI/UX researchers and designers without the need to understand the low-level implementation details of such components. CogTool+ also supports mixed cognitive models required for many large-scale modeling tasks and provides an offline analyzer of simulation results. In order to show how CogTool+ can reduce the human effort required for large-scale modeling, we illustrate how it works using a pedagogical example, and demonstrate its s actual performance by applying it to large-scale modeling tasks of two real-world user-authentication systems.
author list: authors
issue: 2
status: peerReviewed
status: published
volume: 28
has version: CogTool+: Modeling human performance at large scale (PDF)
creator: Haiyue Yuan
creator: Patrice Rusconi
creator: Shujun Li
date: 2021-04
is part of: repository
is part of: ACM Transactions on Computer-Human Interaction
subject: BF Psychology
subject: QA 75 Electronic computers. Computer science
subject: QA76.9.H85 Human computer interaction
subject: QA76.76 Computer software
has document: CogTool+: Modeling human performance at large scale (PDF)
has document: CogTool+: Modeling human performance at large scale (Other)
has published: CogTool+: Modeling human performance at large scale (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Haiyue Yuan
family name: Yuan
given name: Haiyue
type: Person

Patrice Rusconi
family name: Rusconi
given name: Patrice
type: Person

ACM Transactions on Computer-Human Interaction
issn: 10730516
type: Collection

HTML Summary of #91713 Graded Hoare Logic and its Categorical Semantics
format: text/html
primary topic: Graded Hoare Logic and its Categorical Semantics

Graded Hoare Logic and its Categorical Semantics (PDF)
has part: Gaboardi2021_Chapter_GradedHoareLogicAndItsCategori.pdf
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Graded Hoare Logic and its Categorical Semantics (Other)
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Graded Hoare Logic and its Categorical Semantics (Other)
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Graded Hoare Logic and its Categorical Semantics (Other)
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Graded Hoare Logic and its Categorical Semantics (Other)
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Graded Hoare Logic and its Categorical Semantics (Other)
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Graded Hoare Logic and its Categorical Semantics
abstract: Deductive verification techniques based on program logics (i.e., the family of Floyd-Hoare logics) are a powerful approach for program reasoning. Recently, there has been a trend of increasing the expressive power of such logics by augmenting their rules with additional information to reason about program side-effects. For example, general program logics have been augmented with cost analyses, logics for probabilistic computations have been augmented with estimate measures, and logics for differential privacy with indistinguishability bounds. In this work, we unify these various approaches via the paradigm of grading, adapted from the world of functional calculi and semantics. We propose Graded Hoare Logic (GHL), a parameterisable framework for augmenting program logics with a preordered monoidal analysis. We develop a semantic framework for modelling GHL such that grading, logical assertions (pre- and post-conditions) and the underlying effectful semantics of an imperative language can be integrated together. Central to our framework is the notion of a graded category which we extend here, introducing graded Freyd categories which provide a semantics that can interpret many examples of augmented program logics from the literature. We leverage coherent fibrations to model the base assertion language, and thus the overall setting is also fibrational.
author list: authors
status: peerReviewed
status: published
has version: Graded Hoare Logic and its Categorical Semantics (PDF)
creator: Dominic Orchard
date: 2021-03-27
is part of: repository
has document: Graded Hoare Logic and its Categorical Semantics (PDF)
has document: Graded Hoare Logic and its Categorical Semantics (Other)
has published: Graded Hoare Logic and its Categorical Semantics (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Shin-ya Katsumata
family name: Katsumata
given name: Shin-ya
type: Person

Tetsuya Sato
family name: Sato
given name: Tetsuya
type: Person

Marco Gaboardi
family name: Gaboardi
given name: Marco
type: Person

Dominic Orchard
family name: Orchard
given name: Dominic
type: Person
given name: Dominic A.
name: Dominic A. Orchard

European Symposium on Programming 2021
type: Collection

HTML Summary of #91712 Graded Modal Dependent Type Theory
format: text/html
primary topic: Graded Modal Dependent Type Theory

Graded Modal Dependent Type Theory (PDF)
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Graded Modal Dependent Type Theory (Other)
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Graded Modal Dependent Type Theory (Other)
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Graded Modal Dependent Type Theory (Other)
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Graded Modal Dependent Type Theory (Other)
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Graded Modal Dependent Type Theory (Other)
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Graded Modal Dependent Type Theory
abstract: Graded type theories are an emerging paradigm for augmenting the reasoning power of types with parameterizable, fine-grained analyses of program properties. There have been many such theories in recent years which equip a type theory with quantitative dataflow tracking, usually via a semiring-like structure which provides analysis on variables (often called ‘quantitative’ or ‘coeffect’ theories). We present Graded Modal Dependent Type Theory (Grtt for short), which equips a dependent type theory with a general, parameterizable analysis of the flow of data, both in and between computational terms and types. In this theory, it is possible to study, restrict, and reason about data use in programs and types, enabling, for example, parametric quantifiers and linearity to be captured in a dependent setting. We propose Grtt, study its metatheory, and explore various case studies of its use in reasoning about programs and studying other type theories. We have implemented the theory and highlight the interesting details, including showing an application of grading to optimising the type checking procedure itself.
author list: authors
status: peerReviewed
status: published
has version: Graded Modal Dependent Type Theory (PDF)
creator: Benjamin Moon
creator: Dominic Orchard
creator: Harley Eades
date: 2021-03-27
is part of: repository
has document: Graded Modal Dependent Type Theory (PDF)
has document: Graded Modal Dependent Type Theory (Other)
has submitted: Graded Modal Dependent Type Theory (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Benjamin Moon
family name: Moon
given name: Benjamin
type: Person

Harley Eades
family name: Eades
given name: Harley
type: Person

Programming Languages and Systems - 30th European Symposium on Programming, ESOP 2021, Held as Part of the European Joint Conferences on Theory and Practice of Software
type: Collection

HTML Summary of #84603 CANet: Context Aware Network for Brain Glioma Segmentation
format: text/html
primary topic: CANet: Context Aware Network for Brain Glioma Segmentation

CANet: Context Aware Network for Brain Glioma Segmentation (PDF)
has part: 2007.07788.pdf
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type: Document

CANet: Context Aware Network for Brain Glioma Segmentation (Other)
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CANet: Context Aware Network for Brain Glioma Segmentation (Other)
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CANet: Context Aware Network for Brain Glioma Segmentation (Other)
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CANet: Context Aware Network for Brain Glioma Segmentation (Other)
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CANet: Context Aware Network for Brain Glioma Segmentation (Other)
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CANet: Context Aware Network for Brain Glioma Segmentation
abstract: Automated segmentation of brain glioma plays an active role in diagnosis decision, progression monitoring and surgery planning. Based on deep neural networks, previous studies have shown promising technologies for brain glioma segmentation. However, these approaches lack powerful strategies to incorporate contextual information of tumor cells and their surrounding, which has been proven as a fundamental cue to deal with local ambiguity. In this work, we propose a novel approach named Context-Aware Network (CANet) for brain glioma segmentation. CANet captures high dimensional and discriminative features with contexts from both the convolutional space and feature interaction graphs. We further propose context guided attentive conditional random fields which can selectively aggregate features. We evaluate our method using publicly accessible brain glioma segmentation datasets BRATS2017, BRATS2018 and BRATS2019. The experimental results show that the proposed algorithm has better or competitive performance against several State-of-The-Art approaches under different segmentation metrics on the training and validation sets.
author list: authors
status: peerReviewed
status: published
has version: CANet: Context Aware Network for Brain Glioma Segmentation (PDF)
creator: Ling Li
date: 2021-03-15
is part of: repository
is part of: IEEE Transactions on Medical Imaging
subject: Q Science (General)
subject: Q335 Artificial intelligence
subject: Q Science
has accepted: CANet: Context Aware Network for Brain Glioma Segmentation (PDF)
has document: CANet: Context Aware Network for Brain Glioma Segmentation (PDF)
has document: CANet: Context Aware Network for Brain Glioma Segmentation (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Q Science (General)
type: Concept

Feixiang Zhou
family name: Zhou
given name: Feixiang
type: Person

Yinhai Wang
family name: Wang
given name: Yinhai
type: Person

Lei Tong
family name: Tong
given name: Lei
type: Person

Qianni Zhang
family name: Zhang
given name: Qianni
type: Person

Zheheng Jiang
family name: Jiang
given name: Zheheng
type: Person

Zhihua Liu
family name: Liu
given name: Zhihua
type: Person

Caifeng Shan
family name: Shan
given name: Caifeng
type: Person

Huiyu Zhou
family name: Zhou
given name: Huiyu
type: Person

Long Chen
family name: Chen
given name: Long
type: Person

IEEE Transactions on Medical Imaging
issn: 02780062
type: Collection

HTML Summary of #91393 CNN-MoE based framework for classification of respiratory anomalies and lung disease detection
format: text/html
primary topic: CNN-MoE based framework for classification of respiratory anomalies and lung disease detection

CNN-MoE based framework for classification of respiratory anomalies and lung disease detection (PDF)
has part: Phan CNN-MoE based 2021 Accepted.pdf
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type: Document

CNN-MoE based framework for classification of respiratory anomalies and lung disease detection (Other)
has part: indexcodes.txt
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is index codes version of: CNN-MoE based framework for classification of respiratory anomalies and lung disease detection (PDF)
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CNN-MoE based framework for classification of respiratory anomalies and lung disease detection (Other)
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CNN-MoE based framework for classification of respiratory anomalies and lung disease detection (Other)
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CNN-MoE based framework for classification of respiratory anomalies and lung disease detection (Other)
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CNN-MoE based framework for classification of respiratory anomalies and lung disease detection (Other)
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CNN-MoE based framework for classification of respiratory anomalies and lung disease detection
abstract: This paper presents and explores a robust deep learning framework for auscultation analysis. This aims to classify anomalies in respiratory cycles and detect diseases, from respiratory sound recordings. The framework begins with front-end feature extraction that transforms input sound into a spectrogram representation. Then, a back-end deep learning network is used to classify the spectrogram features into categories of respiratory anomaly cycles or diseases. Experiments, conducted over the ICBHI benchmark dataset of respiratory sounds, confirm three main contributions towards respiratory- sound analysis. Firstly, we carry out an extensive exploration of the effect of spectrogram types, spectral-time resolution, overlapping/non-overlapping windows, and data augmentation on final prediction accuracy. This leads us to propose a novel deep learning system, built on the proposed framework, which outperforms current state-of-the-art methods. Finally, we apply a Teacher-Student scheme to achieve a trade-off between model performance and model complexity which holds promise for building real-time applications.
author list: authors
issue: 8
status: peerReviewed
status: published
volume: 25
has version: CNN-MoE based framework for classification of respiratory anomalies and lung disease detection (PDF)
creator: Huy Phan
creator: I. McLoughlin
creator: Lam Dang Pham
creator: Ramaswamy Palaniappan
date: 2021-03-08
is part of: repository
is part of: IEEE Journal of Biomedical and Health Informatics
subject: R858 Computer applications to medicine. Medical informatics. Medical information technology
has accepted: CNN-MoE based framework for classification of respiratory anomalies and lung disease detection (PDF)
has document: CNN-MoE based framework for classification of respiratory anomalies and lung disease detection (PDF)
has document: CNN-MoE based framework for classification of respiratory anomalies and lung disease detection (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Alfred Mertins
family name: Mertins
given name: Alfred
type: Person

Huy Phan
family name: Phan
given name: Huy
type: Person

IEEE Journal of Biomedical and Health Informatics
issn: 21682194
type: Collection

HTML Summary of #87300 SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being
format: text/html
primary topic: SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being

SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: SnapAppy__after_Elsevier_corrections_3_-3.pdf
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type: Document

SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being (Other)
is index codes version of: SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being (PDF)
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SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being (Other)
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SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being (Other)
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SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being (Other)
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SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being (Other)
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SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being
abstract: Momentary photography is enjoyed by many smartphone users, especially with the popularity of apps such as Snapchat and Instagram. Many traditional positive psychology interventions focus on lengthy writing tasks to express positive emotions experienced during past events, acts of kindness and gratuitous situations. In this work we developed SnapAppy, a smartphone application to integrate momentary photography with traditional intervention methodologies to conduct a month-long positive psychology intervention to improve emotional well-being. A study involving 74 participants aimed to assess whether photo-taking, photo viewing and image contents are correlated with improvements in certain aspects of the participant’s emotional well-being including their mood, affect and satisfaction with life. The results indicated that features including the number of photos, the variety of categories, the effort applied to annotating photos, the number of photos revisited and photos taken of people were positively correlated with an improvement in the participant’s mood and positive and negative affect (PANAS).
author list: authors
status: peerReviewed
status: published
has version: SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being (PDF)
creator: C. Efstratiou
creator: Chee Siang Ang
creator: Dinkar Sharma
creator: James Alexander Lee
creator: Panote Siriaraya
date: 2021-03-06
is part of: repository
is part of: Pervasive and Mobile Computing
subject: BF Psychology
subject: QA76.9.H85 Human computer interaction
has accepted: SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being (PDF)
has document: SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being (PDF)
has document: SnapAppy: A positive psychology intervention using smartphone photography to improve emotional well-being (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Dinkar Sharma
family name: Sharma
given name: Dinkar
type: Person

James Alexander Lee
family name: Lee
given name: James Alexander
type: Person

Panote Siriaraya
family name: Siriaraya
given name: Panote
type: Person

Pervasive and Mobile Computing
issn: 15741192
type: Collection

HTML Summary of #88186 A data-driven missing value imputation approach for longitudinal datasets
format: text/html
primary topic: A data-driven missing value imputation approach for longitudinal datasets

A data-driven missing value imputation approach for longitudinal datasets (PDF)
type: Document

A data-driven missing value imputation approach for longitudinal datasets (Other)
is index codes version of: A data-driven missing value imputation approach for longitudinal datasets (PDF)
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A data-driven missing value imputation approach for longitudinal datasets (Other)
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A data-driven missing value imputation approach for longitudinal datasets (Other)
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A data-driven missing value imputation approach for longitudinal datasets (Other)
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A data-driven missing value imputation approach for longitudinal datasets (Other)
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A data-driven missing value imputation approach for longitudinal datasets (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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A data-driven missing value imputation approach for longitudinal datasets (Other)
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A data-driven missing value imputation approach for longitudinal datasets (Other)
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A data-driven missing value imputation approach for longitudinal datasets (Other)
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A data-driven missing value imputation approach for longitudinal datasets (Other)
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A data-driven missing value imputation approach for longitudinal datasets (Other)
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A data-driven missing value imputation approach for longitudinal datasets
abstract: Longitudinal datasets of human ageing studies usually have a high volume of missing data, and one way to handle missing values in a dataset is to replace them with estimations. However, there are many methods to estimate missing values, and no single method is the best for all datasets. In this article, we propose a data-driven missing value imputation approach that performs a feature-wise selection of the best imputation method, using known information in the dataset to rank the five methods we selected, based on their estimation error rates. We evaluated the proposed approach in two sets of experiments: a classifier-independent scenario, where we compared the applicabilities and error rates of each imputation method; and a classifier-dependent scenario, where we compared the predictive accuracy of Random Forest classifiers generated with datasets prepared using each imputation method and a baseline approach of doing no imputation (letting the classification algorithm handle the missing values internally). Based on our results from both sets of experiments, we concluded that the proposed data-driven missing value imputation approach generally resulted in models with more accurate estimations for missing data and better performing classifiers, in longitudinal datasets of human ageing. We also observed that imputation methods devised specifically for longitudinal data had very accurate estimations. This reinforces the idea that using the temporal information intrinsic to longitudinal data is a worthwhile endeavour for machine learning applications, and that can be achieved through the proposed data-driven approach.
author list: authors
status: peerReviewed
status: published
has version: A data-driven missing value imputation approach for longitudinal datasets (PDF)
creator: Alex A. Freitas
creator: Caio Ribeiro
date: 2021-03-06
is part of: repository
is part of: Artificial Intelligence Review
subject: Q335 Artificial intelligence
has accepted: A data-driven missing value imputation approach for longitudinal datasets (PDF)
has document: A data-driven missing value imputation approach for longitudinal datasets (PDF)
has document: A data-driven missing value imputation approach for longitudinal datasets (Other)
has published: A data-driven missing value imputation approach for longitudinal datasets (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Artificial Intelligence Review
issn: 02692821
type: Collection

HTML Summary of #91409 Tragus Based Vagus Nerve Stimulation for Stress Reduction
format: text/html
primary topic: Tragus Based Vagus Nerve Stimulation for Stress Reduction

Tragus Based Vagus Nerve Stimulation for Stress Reduction (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
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Tragus Based Vagus Nerve Stimulation for Stress Reduction (Other)
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Tragus Based Vagus Nerve Stimulation for Stress Reduction (Other)
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Tragus Based Vagus Nerve Stimulation for Stress Reduction (Other)
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Tragus Based Vagus Nerve Stimulation for Stress Reduction (Other)
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Tragus Based Vagus Nerve Stimulation for Stress Reduction (Other)
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Tragus Based Vagus Nerve Stimulation for Stress Reduction
abstract: Non-invasive vagus nerve stimulation is fast becoming a popular alternative treatment method for various health disorders. The authors investigated the effects of auricular vagus nerve stimulation at tragus for activating the parasympathetic nervous system to reduce stress, in light of mixed results from other studies. Stimulation frequency of 25 Hz with a pulse-width of 200 μs was administered at tragus with ECG data recorded during pre- and post-stimulation trials to investigate changes in the low-frequency (LF) and high-frequency (HF) parameters of heart rate variability (HRV). The results from five subjects demonstrate an increase in the HF component and a decrease in LF when comparing pre- and post- stimulation values, denoting that VNS stimulated more of the parasympathetic activity. The LF/HF ratio was reduced for all participants after stimulation, with an average reduction of 64:5% observed. Overall, this study has indicated the feasibility of using tragus as a stimulation site to stimulate the vagus nerve; tragus being easier to administrate than many alternative sites while still being effective for stress reduction.
author list: authors
status: peerReviewed
status: published
has version: Tragus Based Vagus Nerve Stimulation for Stress Reduction (PDF)
creator: I. McLoughlin
creator: Ramaswamy Palaniappan
date: 2021-03-04
is part of: repository
is part of: BIOSIGNALS
subject: R858 Computer applications to medicine. Medical informatics. Medical information technology
has document: Tragus Based Vagus Nerve Stimulation for Stress Reduction (PDF)
has document: Tragus Based Vagus Nerve Stimulation for Stress Reduction (Other)
has published: Tragus Based Vagus Nerve Stimulation for Stress Reduction (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

14th International Conference on Bio-Inspired Systems and Signal Processing
type: Conference
type: Event

Vienna, Austria
type: SpatialThing

Science Technology Publications
type: Organization

Jane Ollis
family name: Ollis
given name: Jane
type: Person

Arora Sunil
family name: Sunil
given name: Arora
type: Person

Surej Mouli
family name: Mouli
given name: Surej
type: Person

Rahul Kanegaonkar
family name: Kanegaonkar
given name: Rahul
type: Person

BIOSIGNALS
issn: 21844305
type: Collection

HTML Summary of #84209 Persistence in Linux-Based IoT Malware
format: text/html
primary topic: Persistence in Linux-Based IoT Malware

Persistence in Linux-Based IoT Malware (PDF)
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Persistence in Linux-Based IoT Malware (Other)
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Persistence in Linux-Based IoT Malware (Other)
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Persistence in Linux-Based IoT Malware (Other)
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Persistence in Linux-Based IoT Malware (Other)
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Persistence in Linux-Based IoT Malware (Other)
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Persistence in Linux-Based IoT Malware
abstract: The Internet of Things (IoT) is a rapidly growing collection of “smart” devices capable of communicating over the Internet. Being connected to the Internet brings new features and convenience, but it also poses new security threats, such as IoT malware. IoT malware has shown similar growth, making IoT devices highly vulnerable to remote compromise. However, most IoT malware variants do not exhibit the ability to gain persistence, as they typically lose control over the compromised device when the device is restarted. This paper investigates how persistence for various IoT devices can be implemented by attackers, such that they retain control even after the device has been rebooted. Having persistence would make it harder to remove IoT malware. We investigated methods that could be used by an attacker to gain persistence on a variety of IoT devices, and compiled the requirements and potential issues faced by these methods, in order to understand how best to combat this future threat. We successfully used these methods to gain persistence on four vulnerable IoT devices with differing designs, features and architectures. We also identified ways to counter them. This work highlights the enormous risk that persistence poses to potentially billions of IoT devices, and we hope our results and study will encourage manufacturers and developers to consider implementing our proposed countermeasures or create new techniques to combat this nascent threat.
author list: authors
status: peerReviewed
status: published
volume: 12556
has version: Persistence in Linux-Based IoT Malware (PDF)
creator: Budi Arief
creator: Calvin Brierley
creator: David J. Barnes
creator: Julio C. Hernandez-Castro
creator: Jamie Pont
date: 2021-03-03
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA 76 Software, computer programming,
has accepted: Persistence in Linux-Based IoT Malware (PDF)
has document: Persistence in Linux-Based IoT Malware (PDF)
has document: Persistence in Linux-Based IoT Malware (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

25th Nordic Conference on Secure IT Systems (Nordsec)
type: Conference
type: Event

Linköping, Sweden
type: SpatialThing

Jamie Pont
family name: Pont
given name: Jamie
type: Person

HTML Summary of #86976 Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic
format: text/html
primary topic: Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic

Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Cyber_Security_in_the_Age_of_COVID_19.pdf
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Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic (Other)
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Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic (Other)
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Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic (Other)
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Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic (Other)
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Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic (Other)
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Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic
abstract: The COVID-19 pandemic was a remarkable, unprecedented event which altered the lives of billions of citizens globally resulting in what became commonly referred to as the new-normal in terms of societal norms and the way we live and work. Aside from the extraordinary impact on society and business as a whole, the pandemic generated a set of unique cyber-crime related circumstances which also affected society and business. The increased anxiety caused by the pandemic heightened the likelihood of cyber-attacks succeeding corresponding with an increase in the number and range of cyber-attacks. This paper analyses the COVID-19 pandemic from a cyber-crime perspective and highlights the range of cyber-attacks experienced globally during the pandemic. Cyber-attacks are analysed and considered within the context of key global events to reveal the modus-operandi of cyber-attack campaigns. The analysis shows how following what appeared to be large gaps between the initial outbreak of the pandemic in China and the first COVID-19 related cyber-attack, attacks steadily became much more prevalent to the point that on some days, three or four unique cyber-attacks were being reported. The analysis proceeds to utilise the UK as a case study to demonstrate how cyber-criminals leveraged salient events and governmental announcements to carefully craft and execute cyber-crime campaigns.
author list: authors
status: peerReviewed
status: published
has version: Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic (PDF)
creator: Jason R. C. Nurse
date: 2021-03-03
is part of: repository
is part of: Computers & Security
subject: BF Psychology
subject: H Social Sciences
subject: Q Science
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic (PDF)
has document: Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic (PDF)
has document: Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Arnau Erola
family name: Erola
given name: Arnau
type: Person

Gregory Epiphaniou
family name: Epiphaniou
given name: Gregory
type: Person

Harjinder Singh Lalli
family name: Lalli
given name: Harjinder Singh
type: Person

Lynsay A. Shepherd
family name: Shepherd
given name: Lynsay A.
type: Person

Carsten Maple
family name: Maple
given name: Carsten
type: Person

Xavier Bellekens
family name: Bellekens
given name: Xavier
type: Person

HTML Summary of #87226 Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry
format: text/html
primary topic: Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry

Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry (PDF)
has part: HCII_2021-Chatbots-Privacy.pdf
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Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry (Other)
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Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry (Other)
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Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry (Other)
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Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry (Other)
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Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry (Other)
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Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry
abstract: Through advances in their conversational abilities, chatbots have started to request and process an increasing variety of sensitive personal information. The accurate disclosure of sensitive information is essential where it is used to provide advice and support to users in the healthcare and finance sectors. In this study, we explore users' concerns regarding factors associated with the use of sensitive data by chatbot providers. We surveyed a representative sample of 491 British citizens. Our results show that the user concerns focus on deleting personal information and concerns about their data's inappropriate use. We also identified that individuals were concerned about losing control over their data after a conversation with conversational agents. We found no effect from a user's gender or education but did find an effect from the user's age, with those over 45 being more concerned than those under 45. We also considered the factors that engender trust in a chatbot. Our respondents' primary focus was on the chatbot's technical elements, with factors such as the response quality being identified as the most critical factor. We again found no effect from the user's gender or education level; however, when we considered some social factors (e.g. avatars or perceived `friendliness'), we found those under 45 years old rated these as more important than those over 45. The paper concludes with a discussion of these results within the context of designing inclusive, digital systems that support a wide range of users.
author list: authors
status: peerReviewed
status: published
has version: Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry (PDF)
creator: Jason R. C. Nurse
creator: Rahime Belen Sağlam
date: 2021-03-01
is part of: repository
subject: BF Psychology
subject: QA 76 Software, computer programming,
subject: T Technology
has accepted: Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry (PDF)
has document: Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry (PDF)
has document: Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

23rd International Conference on Human-Computer Interaction
type: Conference
type: Event

Duncan Hodges
family name: Hodges
given name: Duncan
type: Person

HTML Summary of #87341 Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots
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primary topic: Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots

Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots (PDF)
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Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots (Other)
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Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots (Other)
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Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots (Other)
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Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots (Other)
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Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots (Other)
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type: Document

Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots
abstract: There is an increasing shift towards the use of conversational agents, or chatbots, thanks to their inclusion in consumer hardware (e.g. Alexa, Siri and Google Assistant) and the growing number of essential services moving online. A chatbot allows an organisation to deal with a large volume of user queries with minimal overheads, which in turn allows human operators to deal with more complex issues. In this paper we present our work on maximising responsible, sensitive disclosures to chatbots. The paper focuses on two key studies, the first of which surveyed participants to establish the relative sensitivity of a range of disclosures. From this, we found that participants were equally comfortable making financial disclosures to a chatbot as to a human. The second study looked to support the dynamic personalisation of the chatbot in order to improve the disclosures. This was achieved by exploiting behavioural biometrics (keystroke and mouse dynamics) to identify demographic information about anonymous users. The research highlighted that a fusion approach, combining both keyboard and mouse dynamics, was the most reliable predictor of these biographic characteristics.
author list: authors
status: peerReviewed
status: published
has version: Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots (PDF)
creator: Jason R. C. Nurse
creator: Rahime Belen Sağlam
date: 2021-03-01
is part of: repository
subject: H Social Sciences
subject: T Technology
has accepted: Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots (PDF)
has document: Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots (PDF)
has document: Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

Helen Dawes
family name: Dawes
given name: Helen
type: Person

Duncan Hodges
family name: Hodges
given name: Duncan
type: Person

Natalie Wyer
family name: Wyer
given name: Natalie
type: Person

Oliver Buckley
family name: Buckley
given name: Oliver
type: Person

Sally Earl
family name: Earl
given name: Sally
type: Person

HTML Summary of #87308 Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy
format: text/html
primary topic: Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy

Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy (PDF)
has part: HCII_2021-nurse-remote-working.pdf
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type: Document

Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy (Other)
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Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy (Other)
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Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy (Other)
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Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy (Other)
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Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy (Other)
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type: Document

Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy
abstract: COVID-19 has radically changed society as we know it. To reduce the spread of the virus, millions across the globe have been forced to work remotely, often in make-shift home offices, and using a plethora of new, unfamiliar digital technologies. In this article, we critically analyse cyber security and privacy concerns arising due to remote working during the coronavirus pandemic. Through our work, we discover a series of security risks emerging because of the realities of this period. For instance, lack of remote-working security training, heightened stress and anxiety, rushed technology deployment, and the presence of untrusted individuals in a remote-working environment (e.g., in flatshares), can result in new cyber-risk. Simultaneously, we find that as organisations look to manage these and other risks posed by their remote workforces, employee's privacy (including personal information and activities) is often compromised. This is apparent in the significant adoption of remote workplace monitoring, management and surveillance technologies. Such technologies raise several privacy and ethical questions, and further highlight the tension between security and privacy going forward.
author list: authors
status: peerReviewed
status: published
has version: Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy (PDF)
creator: Jason R. C. Nurse
date: 2021-03-01
is part of: repository
subject: HF Commerce
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy (PDF)
has document: Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy (PDF)
has document: Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

Nikki Williams
family name: Williams
given name: Nikki
type: Person

Niki Panteli
family name: Panteli
given name: Niki
type: Person

John Blythe
family name: Blythe
given name: John
type: Person

Emily Collins
family name: Collins
given name: Emily
type: Person

Ben Koppelman
family name: Koppelman
given name: Ben
type: Person

HTML Summary of #90408 Robust unsupervised small area change detection from SAR imagery using deep learning
format: text/html
primary topic: Robust unsupervised small area change detection from SAR imagery using deep learning

Robust unsupervised small area change detection from SAR imagery using deep learning
abstract: Small area change detection using synthetic aperture radar (SAR) imagery is a highly challenging task, due to speckle noise and imbalance between classes (changed and unchanged). In this paper, a robust unsupervised approach is proposed for small area change detection using deep learning techniques. First, a multi-scale superpixel reconstruction method is developed to generate a difference image (DI), which can suppress the speckle noise effectively and enhance edges by exploiting local, spatially homogeneous information. Second, a two-stage centre-constrained fuzzy c-means clustering algorithm is proposed to divide the pixels of the DI into changed, unchanged and intermediate classes with a parallel clustering strategy. Image patches belonging to the first two classes are then constructed as pseudo-label training samples, and image patches of the intermediate class are treated as testing samples. Finally, a convolutional wavelet neural network (CWNN) is designed and trained to classify testing samples into changed or unchanged classes, coupled with a deep convolutional generative adversarial network (DCGAN) to increase the number of changed class within the pseudo-label training samples. Numerical experiments on four real SAR datasets demonstrate the validity and robustness of the proposed approach, achieving up to 99.61% accuracy for small area change detection
author list: authors
status: peerReviewed
status: published
volume: 173
creator: Xiaowei Gu
date: 2021-03-01
is part of: repository
is part of: ISPRS Journal of Photogrammetry and Remote Sensing
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Ce Zhang
family name: Zhang
given name: Ce
type: Person

Xiaoheng Tan
family name: Tan
given name: Xiaoheng
type: Person

Xinzheng Zhang
family name: Zhang
given name: Xinzheng
type: Person

Hang Su
family name: Su
given name: Hang
type: Person

Peter M. Atkinson
family name: Atkinson
given name: Peter M.
type: Person

ISPRS Journal of Photogrammetry and Remote Sensing
issn: 09242716
type: Collection

HTML Summary of #87195 A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language
format: text/html
primary topic: A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language

A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language (PDF)
license: http://creativecommons.org/licenses/by-nc/3.0/
has part: 147A.Wesek_Masters_Thesis_Corrected_Final.pdf
has part: 147A.Wesek_Masters_Thesis_Corrected_Final.pdf_nocoversheet
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type: Document

A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language (Other)
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type: Document

A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language (Other)
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A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language (Other)
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type: Document

A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language (Other)
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A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language (Other)
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type: Document

A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language
THS: Marek Grześ
author list: authors
status: published
creator: Adrian Wesek
date: 2021-03
is part of: repository
has document: A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language (PDF)
has document: A Comprehensive Study of State-of-the-Art Word Embedding Algorithms for Natural Language (Other)
type: Article
type: Thesis
type: EPrint
type: ThesisEPrint

Adrian Wesek
family name: Wesek
given name: Adrian
type: Person

HTML Summary of #86718 Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay
format: text/html
primary topic: Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay

Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: prog21-aumayr-et-al-capturing-high-level-nondeterminism-in-concurrent-programs-for-practical-concurrency-model-agnostic-record-replay.pdf
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type: Document

Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (Other)
has part: indexcodes.txt
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is index codes version of: Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (PDF)
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type: Document

Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (Other)
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Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (Other)
has part: preview.jpg
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type: Document

Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (Other)
has part: medium.jpg
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is version of: Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (PDF)
is volatile version of: Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (PDF)
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type: Document

Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (Other)
has part: small.jpg
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is version of: Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (PDF)
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type: Document

Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay
abstract: With concurrency being integral to most software systems, developers combine high-level concurrency models in the same application to tackle each problem with appropriate abstractions. While languages and libraries offer a wide range of concurrency models, debugging support for applications that combine them has not yet gained much attention. Record & replay aids debugging by deterministically reproducing recorded bugs, but is typically designed for a single concurrency model only. This paper proposes a practical concurrency-model-agnostic record & replay approach for multi-paradigm concurrent programs, i.e. applications that combine concurrency models. Our approach traces high-level non- deterministic events by using a uniform model-agnostic trace format and infrastructure. This enables ordering- based record & replay support for a wide range of concurrency models, and thereby enables debugging of applications that combine them. In addition, it allows language implementors to add new concurrency mod- els and reuse the model-agnostic record & replay support. We argue that a concurrency-model-agnostic record & replay is practical and enables advanced debugging support for a wide range of concurrency models. The evaluation shows that our approach is expressive and flexible enough to support record & replay of applications using threads & locks, communicating event loops, communicating sequential processes, software transactional memory and combinations of those concurrency models. For the actor model, we reach recording performance competitive with an optimized special-purpose record & replay solution. The average recording overhead on the Savina actor benchmark suite is 10% (min. 0%, max. 23%). The performance for other concurrency models and combinations thereof is at a similar level. We believe our concurrency-model-agnostic approach helps developers of applications that mix and match concurrency models. We hope that this substrate inspires new tools and languages …
author list: authors
issue: 3
status: peerReviewed
status: published
volume: 5
has version: Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (PDF)
creator: Stefan Marr
creator: Sophie Kaleba
date: 2021-02-28
is part of: repository
is part of: The Art, Science, and Engineering of Programming
subject: QA 76 Software, computer programming,
has document: Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (PDF)
has document: Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (Other)
has published: Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record and Replay (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

AOSA Inc.
type: Organization

Dominik Aumayr
family name: Aumayr
given name: Dominik
type: Person

Hanspeter Mössenböck
family name: Mössenböck
given name: Hanspeter
type: Person

Elisa Gonzalez Boix
family name: Gonzalez Boix
given name: Elisa
type: Person

The Art, Science, and Engineering of Programming
issn: 24737321
type: Collection

HTML Summary of #90816 Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum
format: text/html
primary topic: Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum

Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (PDF)
type: Document

Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (Other)
is index codes version of: Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (PDF)
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Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (Other)
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Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (Other)
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Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (Other)
is version of: Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (PDF)
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type: Document

Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (Other)
is version of: Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (PDF)
is volatile version of: Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (PDF)
issmall thumbnail version of: Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (PDF)
type: Document

Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum
abstract: In this paper, a Lagrangian-based dynamics is employed for a Two- wheeled Inverted Pendulum with the consideration of unknown matched and unmatched uncertainties which are bounded by known nonlinear functions. The model is linearised and further transformed into a regular form to facilitate the analysis and design. A sliding surface is designed, and a set of conditions is developed such that the resulting sliding motion is uniformly ultimately bounded from a practical perspective. Further, a sliding mode control scheme is proposed such that the system is driven to the sliding surface in �nite time and maintained on it thereafter. Finally, both simulation and experiment are presented using practical model parameters data to demonstrate the e�ectiveness and robustness of the regulation control.
author list: authors
status: forthcoming
status: peerReviewed
has version: Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (PDF)
creator: Konstantinos Sirlantzis
creator: Gareth Howells
creator: Xinggang Yan
creator: Yankun Yang
date: 2021-02-26
is part of: repository
is part of: International Journal of Modelling, Identification and Control
subject: Control engineering
has accepted: Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (PDF)
has document: Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (PDF)
has document: Regular Form Based Sliding Mode Control Design on a Two-wheeled Inverted Pendulum (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Inderscience
type: Organization

International Journal of Modelling, Identification and Control
issn: 17466172
type: Collection

HTML Summary of #84439 Adapting to Movement Patterns for Face Recognition on Mobile Devices
format: text/html
primary topic: Adapting to Movement Patterns for Face Recognition on Mobile Devices

Adapting to Movement Patterns for Face Recognition on Mobile Devices (PDF)
has part: WMWB2020_010_original_v1.pdf
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type: Document

Adapting to Movement Patterns for Face Recognition on Mobile Devices (Other)
has part: indexcodes.txt
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is index codes version of: Adapting to Movement Patterns for Face Recognition on Mobile Devices (PDF)
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Adapting to Movement Patterns for Face Recognition on Mobile Devices (Other)
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Adapting to Movement Patterns for Face Recognition on Mobile Devices (Other)
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Adapting to Movement Patterns for Face Recognition on Mobile Devices (Other)
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Adapting to Movement Patterns for Face Recognition on Mobile Devices (Other)
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type: Document

Adapting to Movement Patterns for Face Recognition on Mobile Devices
abstract: Facial recognition is becoming an increasingly popular way to authenticate users, helped by the increased use of biometric technology within mobile devices, such as smartphones and tablets. Biometric systems use thresholds to identify whether a user is genuine or an impostor. Traditional biometric systems are static (such as eGates at airports), which allow the operators and developers to create an environment most suited for the successful operation of the biometric technology by using a fixed threshold value to determine the authenticity of the user. However, with a mobile device and scenario, the operational conditions are beyond the control of the developers and operators. In this paper, we propose a novel approach to mobile biometric authentication within a mobile scenario, by offering an adaptive threshold to authenticate users based on the environment, situations and conditions in which they are operating the device. Utilising smartphone sensors, we demonstrate the creation of a successful scenario classification. Using this, we propose our idea of an extendable framework to allow multiple scenario thresholds. Furthermore, we test the concept with data collected from a smartphone device. Results show that using an adaptive scenario threshold approach can improve the biometric performance, and hence could allow manufacturers to produce algorithms that perform consistently in multiple scenarios without compromising security, allowing an increase in public trust towards the use of the technology.
author list: authors
editor list: editors
status: peerReviewed
status: published
volume: 12668
has version: Adapting to Movement Patterns for Face Recognition on Mobile Devices (PDF)
creator: Farzin Deravi
creator: Matthew Boakes
creator: Richard Guest
date: 2021-02-21
is part of: repository
subject: QA Mathematics (inc Computing science)
subject: TK7882.B56 Biometric identification
has accepted: Adapting to Movement Patterns for Face Recognition on Mobile Devices (PDF)
has document: Adapting to Movement Patterns for Face Recognition on Mobile Devices (PDF)
has document: Adapting to Movement Patterns for Face Recognition on Mobile Devices (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

TK7882.B56 Biometric identification
type: Concept

TC4 Workshop on Mobile and Wearable Biometrics Workshop
type: Conference
type: Event

Milan, Italy
type: SpatialThing

Springer International Publishing
type: Organization

Marco Bertini
family name: Bertini
given name: Marco
type: Person

Giovanni Maria Farinella
family name: Farinella
given name: Giovanni Maria
type: Person

Tao Mei
family name: Mei
given name: Tao
type: Person

Roberto Vezzani
family name: Vezzani
given name: Roberto
type: Person

Hugo Jair Escalante
family name: Escalante
given name: Hugo Jair
type: Person

Stan Sclaroff
family name: Sclaroff
given name: Stan
type: Person

Alberto Del Bimbo
family name: Del Bimbo
given name: Alberto
type: Person

Rita Cucchiara
family name: Cucchiara
given name: Rita
type: Person

Farzin Deravi
family name: Deravi
given name: Farzin
type: Person

Matthew Boakes
family name: Boakes
given name: Matthew
type: Person

Richard Guest
family name: Guest
given name: Richard
type: Person

HTML Summary of #89066 The Use of Structured Argumentation to Support Conclusions: A Video Authentication Case Study
format: text/html
primary topic: The Use of Structured Argumentation to Support Conclusions: A Video Authentication Case Study

The Use of Structured Argumentation to Support Conclusions: A Video Authentication Case Study (Archive (ZIP))
type: Document

The Use of Structured Argumentation to Support Conclusions: A Video Authentication Case Study
abstract: Digital forensics can narrow key issues pending before a criminal or civil tribunal, resulting in a plea/settlement or a judicially economical trial. To support this, measures facilitating effective discourse between all parties regarding evidential matters may have value to judicial processes, where this session introduces the concept of Structured Argumentation (SA) for this purpose. The use of SA, applied to digital forensics investigations, was proposed and illustrated by Franqueira and Horsman (2020). It allows elaboration of investigative hypotheses, exposing not only how different (digital and/or non-digital) evidence logically fit together, but also the processes followed and conclusions reached, avoiding needless delay when arriving at a plea/disposition in a matter and/or narrowing the issues at a subsequent trial/proceeding. This session will be organised into 3 parts. First, the SA scheme (i.e., claim, ground, warrant, backing and rebuttal) and its dynamics will be described. Second, the results of an evaluation of SA applied to an anonymised video authentication case, from the field, will be presented. Finally, lessons learned and discussion points in relation to the use of SA, in theory and practice, will be elaborated.
author list: authors
status: nonPeerReviewed
status: published
creator: Graeme Horsman
creator: Joseph Remy
creator: Patricia Mullaney
creator: Virginia N. L. Franqueira
date: 2021-02-15
is part of: repository
subject: QA Mathematics (inc Computing science)
has document: The Use of Structured Argumentation to Support Conclusions: A Video Authentication Case Study (Archive (ZIP))
has presentation: The Use of Structured Argumentation to Support Conclusions: A Video Authentication Case Study (Archive (ZIP))
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

(W03) Scientific Working Group on Digital Evidence (SWGDE) and Digital Evidence: The Look of Modern Criminal Investigations
type: Conference
type: Event

U.S. (virtual)
type: SpatialThing

American Academy of Forensic Sciences
type: Organization

Graeme Horsman
family name: Horsman
given name: Graeme
type: Person

Joseph Remy
family name: Remy
given name: Joseph
type: Person

Patricia Mullaney
family name: Mullaney
given name: Patricia
type: Person

HTML Summary of #84636 Resourceful program synthesis from graded linear types
format: text/html
primary topic: Resourceful program synthesis from graded linear types

Resourceful program synthesis from graded linear types (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Resourceful program synthesis from graded linear types (Other)
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Resourceful program synthesis from graded linear types (Other)
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Resourceful program synthesis from graded linear types (Other)
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Resourceful program synthesis from graded linear types (Other)
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Resourceful program synthesis from graded linear types
abstract: Linear types provide a way to constrain programs by specifying that some values must be used exactly once. Recent work on graded modal types augments and refines this notion, enabling fine-grained, quantitative specification of data use in programs. The information provided by graded modal types appears to be useful for type-directed program synthesis, where these additional constraints can be used to prune the search space of candidate programs. We explore one of the major implementation challenges of a synthesis algorithm in this setting: how does the synthesis algorithm efficiently ensure that resource constraints are satisfied throughout program generation? We provide two solutions to this resource management problem, adapting Hodas and Miller’s input-output model of linear context management to a graded modal linear type theory. We evaluate the performance of both approaches via their implementation as a program synthesis tool for the programming language Granule, which provides linear and graded modal typing.
author list: authors
status: peerReviewed
status: published
volume: 12561
has version: Resourceful program synthesis from graded linear types (PDF)
creator: Dominic Orchard
date: 2021-02-13
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA 76 Software, computer programming,
has document: Resourceful program synthesis from graded linear types (PDF)
has document: Resourceful program synthesis from graded linear types (Other)
has published: Resourceful program synthesis from graded linear types (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

International Symposium on Logic-Based Program Synthesis and Transformation
type: Conference
type: Event

Bologna, Italy
type: SpatialThing

Jack Hughes
family name: Hughes
given name: Jack
type: Person

HTML Summary of #85926 Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times
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primary topic: Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times

Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (PDF)
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Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (Other)
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Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (Other)
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Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (Other)
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Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (Other)
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Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (Other)
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Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (PDF)
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Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (Other)
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Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (Other)
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Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (Other)
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Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (Other)
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Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (Other)
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type: Document

Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times
abstract: Rear-end collision accounts for around 8% of all vehicle crashes in the UK, with the failure to notice or react to a brake light signal being a major contributory cause. Meanwhile traditional incandescent brake light bulbs on vehicles are increasingly being replaced by a profusion of designs featuring LEDs. In this paper, we investigate the efficacy of brake light design using a novel approach to recording subject reaction times in a simulation setting using physical brake light assemblies. The reaction times of 22 subjects were measured for ten pairs of LED and incandescent bulb brake lights. Three events were investigated for each subject, namely the latency of brake light activation to accelerator release (BrakeAcc), the latency of accelerator release to brake pedal depression (AccPdl), and the cumulative time from light activation to brake pedal depression (BrakePdl). To our knowledge, this is the first study in which reaction times have been split into BrakeAcc and AccPdl. Results indicate that the two brake lights containing incandescent bulbs led to significantly slower reaction times compared to eight tested LED lights. BrakeAcc results also show that experienced subjects were quicker to respond to the activation of brake lights by releasing the accelerator pedal. Interestingly, analysis also revealed that the type of brake light influenced the AccPdl time, although experienced subjects did not always act quicker than inexperienced subjects. Overall, the study found that different designs of brake light can significantly influence driver response times.
author list: authors
status: peerReviewed
status: published
volume: 9
has version: Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (PDF)
creator: Howard Bowman
creator: Ramaswamy Palaniappan
date: 2021-02-10
is part of: repository
is part of: IEEE Access
subject: TE Highway engineering. Roads and pavements
has document: Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (PDF)
has document: Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (Other)
has published: Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (PDF)
has submitted: Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Surej Mouli
family name: Mouli
given name: Surej
type: Person

Ian McLoughlin
family name: McLoughlin
given name: Ian
type: Person

Evangelia Fringi
family name: Fringi
given name: Evangelia
type: Person

HTML Summary of #85843 How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness
format: text/html
primary topic: How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness

How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (PDF)
type: Document

How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (Other)
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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (Other)
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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (Other)
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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (Other)
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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (Other)
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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (Other)
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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (Other)
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is version of: How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (PDF)
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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (Other)
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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (Other)
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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (Other)
has part: indexcodes.txt
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is index codes version of: How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (PDF)
is version of: How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (PDF)
is volatile version of: How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (PDF)
type: Document

How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness
abstract: In recent years, specific cortical networks have been proposed to be crucial for sustaining consciousness, including the posterior hot zone and frontoparietal resting state networks (RSN). Here, we computationally evaluate the relative contributions of three RSNs – the default mode network (DMN), the salience network (SAL), and the central executive network (CEN) – to consciousness and its loss during propofol anaesthesia. Specifically, we use dynamic causal modelling (DCM) of 10 minutes of high-density EEG recordings (N = 10, 4 males) obtained during behavioural responsiveness, unconsciousness and post-anaesthetic recovery to characterise differences in effective connectivity within frontal areas, the posterior ‘hot zone’, frontoparietal connections, and between-RSN connections. We estimate – for the first time – a large DCM model (LAR) of resting EEG, combining the three RSNs into a rich club of interconnectivity. Consistent with the hot zone theory, our findings demonstrate reductions in inter-RSN connectivity in the parietal cortex. Within the DMN itself, the strongest reductions are in feed-forward frontoparietal and parietal connections at the precuneus node. Within the SAL and CEN, loss of consciousness generates small increases in bidirectional connectivity. Using novel DCM leave-one-out cross-validation, we show that the most consistent out-of-sample predictions of the state of consciousness come from a key set of frontoparietal connections. This finding also generalises to unseen data collected during post-anaesthetic recovery. Our findings provide new, computational evidence for the importance of the posterior hot zone in explaining the loss of consciousness, highlighting also the distinct role of frontoparietal connectivity in underpinning conscious responsiveness, and consequently, suggest a dissociation between the mechanisms most prominently associated with explaining the contrast between conscious awareness and unconsciousness, and those maintaining …
author list: authors
status: peerReviewed
status: published
volume: 231
has version: How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (PDF)
creator: Riku Ihalainen
creator: Srivas Chennu
date: 2021-02-09
is part of: repository
is part of: NeuroImage
has accepted: How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (PDF)
has document: How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (PDF)
has document: How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (Other)
has published: How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Olivia Gosseries
family name: Gosseries
given name: Olivia
type: Person

Daniele Marinazzo
family name: Marinazzo
given name: Daniele
type: Person

Frederik Van de Steen
family name: Van de Steen
given name: Frederik
type: Person

Federico Raimondo
family name: Raimondo
given name: Federico
type: Person

Rajanikant Panda
family name: Panda
given name: Rajanikant
type: Person

Vincent Bonhomme
family name: Bonhomme
given name: Vincent
type: Person

Steven Laureys
family name: Laureys
given name: Steven
type: Person

Howard Bowman
family name: Bowman
given name: Howard
type: Person

Riku Ihalainen
family name: Ihalainen
given name: Riku
type: Person

Srivas Chennu
family name: Chennu
given name: Srivas
type: Person

NeuroImage
issn: 10538119
type: Collection

HTML Summary of #90393 A Multi-Stream Deep Rule-Based Ensemble System for Aerial Image Scene Classification
format: text/html
primary topic: A Multi-Stream Deep Rule-Based Ensemble System for Aerial Image Scene Classification

A Multi-Stream Deep Rule-Based Ensemble System for Aerial Image Scene Classification
abstract: Aerial scene classification is the key task for automated aerial image understanding and information extraction, but is highly challenging due to the great complexity and real-world uncertainties exhibited by such images. To perform precise aerial scene classification, in this research, a multi-stream deep rule-based ensemble system is proposed. The proposed ensemble system consists of three deep rule-based systems that are trained simultaneously on the same data. The three ensemble components employ ResNet50, DenseNet121 and InceptionV3 as their respective feature descriptors because of the state-of-the-art performances the three networks have demonstrated on aerial scene classification. The three networks are fine tuned on aerial images to further enhance their discriminative and descriptive abilities. Thanks to its prototype-based nature, the proposed approach is able to self-organize a transparent ensemble predictive model with prototypes learned from training images and perform highly explainable joint decision-making on testing images with greater precision. Numerical examples on both benchmark aerial image sets and satellite sensor images demonstrated the efficacy of the proposed approach, showing its great potential in solving real-world problems.
author list: authors
status: peerReviewed
status: published
creator: Xiaowei Gu
date: 2021-02-07
is part of: repository
subject: QA 75 Electronic computers. Computer science
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

World Scientific
type: Organization

Plamen Angelov
family name: Angelov
given name: Plamen
type: Person

HTML Summary of #90290 A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis
format: text/html
primary topic: A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis

A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis
abstract: Large-scale {(large-area)}, fine spatial resolution satellite sensor images are valuable data sources for Earth observation while not yet fully exploited by research communities for practical applications. Often, such images exhibit highly complex geometrical structures and spatial patterns, and distinctive characteristics of multiple land-use categories may appear at the same region. Autonomous information extraction from these images is essential in the field of pattern recognition within remote sensing, but this task is extremely challenging due to the spectral and spatial complexity captured in satellite sensor imagery. In this research, a semi-supervised deep rule-based approach for satellite sensor image analysis (SeRBIA) is proposed, where large-scale satellite sensor images are analysed autonomously and classified into detailed land-use categories. Using an ensemble feature descriptor derived from pre-trained AlexNet and VGG-VD-16 models, SeRBIA is capable of learning continuously from both labelled and unlabelled images through self-adaptation without human involvement or intervention. Extensive numerical experiments were conducted on both benchmark datasets and real-world satellite sensor images to comprehensively test the validity and effectiveness of the proposed method. The novel information mining technique developed here can be applied to analyse large-scale satellite sensor images with high accuracy and interpretability, across a wide range of real-world applications.
author list: authors
status: peerReviewed
status: published
creator: Xiaowei Gu
date: 2021-02-04
is part of: repository
is part of: IEEE Transactions on Pattern Analysis and Machine Intelligence
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Plamen Angelov
family name: Angelov
given name: Plamen
type: Person

Ce Zhang
family name: Zhang
given name: Ce
type: Person

Peter Atkinson
family name: Atkinson
given name: Peter
type: Person

IEEE Transactions on Pattern Analysis and Machine Intelligence
issn: 01628828
type: Collection

HTML Summary of #88179 Machine learning methods applied to audit of surgical margins after curative surgery for head and neck cancer
format: text/html
primary topic: Machine learning methods applied to audit of surgical margins after curative surgery for head and neck cancer

Machine learning methods applied to audit of surgical margins after curative surgery for head and neck cancer
abstract: Most surgical specialties have attempted to address concerns about the unfair comparison of outcomes by ‘risk-adjusting’ data to benchmark specialty-specific outcomes that are indicative of quality of care. We explore the ability to predict for positive margin status so that effective benchmarking that will account for complexity of case mix is possible. A dataset of care episodes recorded as a clinical audit of margin status after surgery for head and neck squamous cell carcinoma (n=1316) was analysed within the Waikato Environment for Knowledge Analyisis (WEKA) machine learning programme. The outcome was a classification model that can predict for positivity of tumour margins (defined as less than 1mm) using data on preoperative demographics, operations, functional status, and tumour stage. Positive resection margins of less than 1mm were common, and varied considerably between treatment units (19%-29%). Four algorithms were compared to attempt to risk-adjust for case complexity. The 'champion' model was a Naïve Bayes classifier (AUROC 0.72) that suggested acceptable discrimination. Calibration was good (Hosmer-Lemershow goodness-of-fit test p=0.9). Adjusted positive margin rates are presented on a funnel plot. Subspecialty groups within oral and maxillofacial surgery are seeking metrics that will allow for meaningful comparison of the quality of care delivered by surgical units in the UK. To enable metrics to be effective, we argue that they can be modelled so that meaningful benchmarking, which takes account of variation in complexity of patient need or care, is possible.
author list: authors
issue: 2
status: peerReviewed
status: published
volume: 59
creator: Alex A. Freitas
creator: Fabio Fabris
date: 2021-02-01
is part of: repository
is part of: British Journal of Oral and Maxillofacial Surgery
subject: Q335 Artificial intelligence
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

D. Tighe
family name: Tighe
given name: D.
type: Person

Fabio Fabris
family name: Fabris
given name: Fabio
type: Person

British Journal of Oral and Maxillofacial Surgery
issn: 02664356
type: Collection

HTML Summary of #87076 Using Particle Swarm Optimization for Market Timing Strategies
format: text/html
primary topic: Using Particle Swarm Optimization for Market Timing Strategies

Using Particle Swarm Optimization for Market Timing Strategies (PDF)
license: http://creativecommons.org/licenses/by-nc/3.0/
has part: 138IsmailMohamed2021phd.pdf
has file: 138IsmailMohamed2021phd.pdf
type: Document

Using Particle Swarm Optimization for Market Timing Strategies (Other)
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Using Particle Swarm Optimization for Market Timing Strategies (Other)
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Using Particle Swarm Optimization for Market Timing Strategies (Other)
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Using Particle Swarm Optimization for Market Timing Strategies (Other)
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Using Particle Swarm Optimization for Market Timing Strategies (Other)
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Using Particle Swarm Optimization for Market Timing Strategies
THS: Fernando E.B. Otero
abstract: Market timing is the issue of deciding when to buy or sell a given asset on the market. As one of the core issues of algorithmic trading systems, designers of such system have turned to computational intelligence methods to aid them in this task. In this thesis, we explore the use of Particle Swarm Optimization (PSO) within the domain of market timing.nPSO is a search metaheuristic that was first introduced in 1995 [28] and is based on the behavior of birds in flight. Since its inception, the PSO metaheuristic has seen extensions to adapt it to a variety of problems including single objective optimization, multiobjective optimization, niching and dynamic optimization problems. Although popular in other domains, PSO has seen limited application to the issue of market timing. The current incumbent algorithm within the market timing domain is Genetic Algorithms (GA), based on the volume of publications as noted in [40] and [84]. In this thesis, we use PSO to compose market timing strategies using technical analysis indicators. Our first contribution is to use a formulation that considers both the selection of components and the tuning of their parameters in a simultaneous manner, and approach market timing as a single objective optimization problem. Current approaches only considers one of those aspects at a time: either selecting from a set of components with fixed values for their parameters or tuning the parameters of a preset selection of components. Our second contribution is proposing a novel training and testing methodology that explicitly exposes candidate market timing strategies to numerous price trends to reduce the likelihood of overfitting to a particular trend and give a better approximation of performance under various market conditions. Our final contribution is to consider market timing as a multiobjective optimization problem, optimizing five financial metrics and comparing the performance of our PSO variants against a well established multiobjective …
author list: authors
degree: phd
status: published
creator: Ismail Mohamed
date: 2021-02
is part of: repository
has document: Using Particle Swarm Optimization for Market Timing Strategies (PDF)
has document: Using Particle Swarm Optimization for Market Timing Strategies (Other)
type: Article
type: Thesis
type: EPrint
type: ThesisEPrint

HTML Summary of #87092 Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues
format: text/html
primary topic: Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues

Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Aging-US-2021-Palmer-as-published.pdf
has part: Aging-US-2021-Palmer-as-published.pdf_nocoversheet
has file: Aging-US-2021-Palmer-as-published.pdf
has file: Aging-US-2021-Palmer-as-published.pdf_nocoversheet
type: Document

Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues (Other)
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Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues (Other)
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Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues (Other)
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Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues (Other)
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Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues (Other)
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Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues
abstract: By combining transcriptomic data with other data sources, inferences can be made about functional changes during ageing. Thus, we conducted a meta-analysis on 127 publicly available microarray and RNA-Seq datasets from mice, rats and humans, identifying a transcriptomic signature of ageing across species and tissues. Analyses on subsets of these datasets produced transcriptomic signatures of ageing for brain, heart and muscle. We then applied enrichment analysis and machine learning to functionally describe these signatures, revealing overexpression of immune and stress response genes and underexpression of metabolic and developmental genes. Further analyses revealed little overlap between genes differentially expressed with age in different tissues, despite ageing differentially expressed genes typically being widely expressed across tissues. Additionally we show that the ageing gene expression signatures (particularly the overexpressed signatures) of the whole meta-analysis, brain and muscle tend to include genes that are central in protein-protein interaction networks. We also show that genes underexpressed with age in the brain are highly central in a co-expression network, suggesting that underexpression of these genes may have broad phenotypic consequences. In sum, we show numerous functional similarities between the ageing transcriptomes of these important tissues, along with unique network properties of genes differentially expressed with age in both a protein-protein interaction and co-expression networks.
author list: authors
issue: 3
status: peerReviewed
status: published
volume: 13
has version: Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues (PDF)
creator: Alex A. Freitas
creator: Fabio Fabris
date: 2021-02
is part of: repository
is part of: Aging
subject: Q335 Artificial intelligence
has document: Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues (PDF)
has document: Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues (Other)
has published: Ageing transcriptome meta-analysis reveals similarities between key mammalian tissues (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Impact Journals
type: Organization

Daniel Palmer
family name: Palmer
given name: Daniel
type: Person

João Pedro de Magalhaes
family name: de Magalhaes
given name: João Pedro
type: Person

Aoife Doherty
family name: Doherty
given name: Aoife
type: Person

Aging
issn: 19454589
type: Collection

HTML Summary of #85902 Damage to Broca’s area does not contribute to long-term speech production outcome after stroke
format: text/html
primary topic: Damage to Broca’s area does not contribute to long-term speech production outcome after stroke

Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: awaa460.pdf
has part: awaa460.pdf_nocoversheet
has file: awaa460.pdf
has file: awaa460.pdf_nocoversheet
type: Document

Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (Other)
has part: indexcodes.txt
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is index codes version of: Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (PDF)
is version of: Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (PDF)
is volatile version of: Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (PDF)
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Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (Other)
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Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (Other)
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Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (Other)
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Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (Other)
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Damage to Broca’s area does not contribute to long-term speech production outcome after stroke
abstract: Broca’s area in the posterior half of the left inferior frontal gyrus has long been thought to be critical for speech production. The current view is that long-term speech production outcome in patients with Broca’s area damage is best explained by the combination of damage to Broca’s area and neighbouring regions including the underlying white matter, which was also damaged in Paul Broca’s two historic cases. Here, we dissociate the effect of damage to Broca’s area from the effect of damage to surrounding areas by studying long-term speech production outcome in 134 stroke survivors with relatively circumscribed left frontal lobe lesions that spared posterior speech production areas in lateral inferior parietal and superior temporal association cortices. Collectively, these patients had varying degrees of damage to one or more of nine atlas-based grey or white matter regions: Brodmann areas 44 and 45 (together known as Broca’s area), ventral premotor cortex, primary motor cortex, insula, putamen, the anterior segment of the arcuate fasciculus, uncinate fasciculus and frontal aslant tract. Spoken picture description scores from the ComprehensiveAphasia Test were used as the outcome measure. Multiple regression analyses allowed us to tease apart the contribution of other variables influencing speech production abilities such as total lesion volume and time post-stroke. We found that, in our sample of patients with left frontal damage, long-term speech production impairments (lasting beyond 3 months post-stroke) were solely predictedby the degree of damage to white matter, directly above the insula, in the vicinity of the anterior part of the arcuate fasciculus, with no contribution from the degree of damage to Broca’s area (as confirmed with Bayesian statistics). The effect of white matter damage cannot be explained by a disconnection of Broca’s area, because speech production scores were worse after damage to the anterior arcuate fasciculus with relative sparing of B…
author list: authors
status: peerReviewed
status: published
has version: Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (PDF)
creator: Cathy Price
creator: Howard Bowman
date: 2021-01-31
is part of: repository
is part of: Brain
subject: RC321 Neuroscience. Biological psychiatry. Neuropsychiatry
has document: Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (PDF)
has document: Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (Other)
has published: Damage to Broca’s area does not contribute to long-term speech production outcome after stroke (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

RC321 Neuroscience. Biological psychiatry. Neuropsychiatry
type: Concept

PLORAS team
type: Organization

Oxford University Press
type: Organization

Andrea Gajardo-Vidal
family name: Gajardo-Vidal
given name: Andrea
type: Person

Diego L. Lorca-Puls
family name: Lorca-Puls
given name: Diego L.
type: Person

David W. Green
family name: Green
given name: David W.
type: Person

Barwan Pshdary
family name: Pshdary
given name: Barwan
type: Person

Thomas M.H. Hope
family name: Hope
given name: Thomas M.H.
type: Person

Cathy Price
family name: Price
given name: Cathy
type: Person

Sharon Geva
family name: Geva
given name: Sharon
type: Person

Mohamed L. Seghier
family name: Seghier
given name: Mohamed L.
type: Person

Holly Warner
family name: Warner
given name: Holly
type: Person

Alex P. Leff
family name: Leff
given name: Alex P.
type: Person

Jennifer T. Crinion
family name: Crinion
given name: Jennifer T.
type: Person

Brain
issn: 00068950
type: Collection

HTML Summary of #86818 Cybersecurity Awareness
format: text/html
primary topic: Cybersecurity Awareness

Cybersecurity Awareness (PDF)
type: Document

Cybersecurity Awareness (Other)
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Cybersecurity Awareness (Other)
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Cybersecurity Awareness (Other)
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Cybersecurity Awareness (Other)
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Cybersecurity Awareness (Other)
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Cybersecurity Awareness
abstract: Cybersecurity awareness can be viewed as the level of appreciation, understanding, or knowledge of cybersecurity or information security aspects. Such aspects include cognizance of cyber risks and threats, but also appropriate protection measures.
author list: authors
status: peerReviewed
status: published
has version: Cybersecurity Awareness (PDF)
creator: Jason R. C. Nurse
date: 2021-01-19
is part of: repository
subject: BF Psychology
subject: H Social Sciences
subject: L Education
subject: T Technology
has accepted: Cybersecurity Awareness (PDF)
has document: Cybersecurity Awareness (PDF)
has document: Cybersecurity Awareness (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

Encyclopedia of Cryptography, Security and Privacy
type: Collection

HTML Summary of #85599 Breakthrough percepts of online identity: Detecting recognition of email addresses on the fringe of awareness
format: text/html
primary topic: Breakthrough percepts of online identity: Detecting recognition of email addresses on the fringe of awareness

Breakthrough percepts of online identity: Detecting recognition of email addresses on the fringe of awareness (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: ejn.15098
has file: ejn.15098
type: Document

Breakthrough percepts of online identity: Detecting recognition of email addresses on the fringe of awareness
abstract: A key issue facing cybercrime investigations is connecting online identities to real-world identities. This paper shows that by combining the Fringe-P3 method with a concealed information test, we can detect a participant's familiarity with their own email address, thus connecting their real-world identity to their online one. Participants were shown Rapid Serial Visual Presentation (RSVP) streams of email addresses, some including their own email address (probe) or a target email address. Familiarity with the probe was accurately detected with significant results at the group level and for 7 of 11 participants at the individual level. These promising results demonstrate that the method can be successfully used to detect online identities. Factors that may affect how well an email address probe stands out in the RSVP streams are also discussed.
author list: authors
status: peerReviewed
status: published
has version: Breakthrough percepts of online identity: Detecting recognition of email addresses on the fringe of awareness (PDF)
creator: Howard Bowman
date: 2021-01-10
is part of: repository
is part of: European Journal of Neuroscience
subject: BF Psychology
subject: RC321 Neuroscience. Biological psychiatry. Neuropsychiatry
has document: Breakthrough percepts of online identity: Detecting recognition of email addresses on the fringe of awareness (PDF)
has published: Breakthrough percepts of online identity: Detecting recognition of email addresses on the fringe of awareness (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Brendan Jose
family name: Jose
given name: Brendan
type: Person

Claire Miller
family name: Miller
given name: Claire
type: Person

Anthony Beech
family name: Beech
given name: Anthony
type: Person

Kathryn Harris
family name: Harris
given name: Kathryn
type: Person

European Journal of Neuroscience
issn: 0953816X
type: Collection

HTML Summary of #83677 Weighted Voting Procedure having a Unique Blocker
format: text/html
primary topic: Weighted Voting Procedure having a Unique Blocker

Weighted Voting Procedure having a Unique Blocker (PDF)
type: Document

Weighted Voting Procedure having a Unique Blocker (Other)
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Weighted Voting Procedure having a Unique Blocker (Other)
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Weighted Voting Procedure having a Unique Blocker (Other)
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Weighted Voting Procedure having a Unique Blocker (Other)
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Weighted Voting Procedure having a Unique Blocker (Other)
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Weighted Voting Procedure having a Unique Blocker (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Bhattacherjee-Sarkar2021_Article_WeightedVotingProcedureHavingA.pdf
has part: Bhattacherjee-Sarkar2021_Article_WeightedVotingProcedureHavingA.pdf_nocoversheet
has file: Bhattacherjee-Sarkar2021_Article_WeightedVotingProcedureHavingA.pdf
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type: Document

Weighted Voting Procedure having a Unique Blocker (Other)
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Weighted Voting Procedure having a Unique Blocker (Other)
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Weighted Voting Procedure having a Unique Blocker (Other)
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Weighted Voting Procedure having a Unique Blocker (Other)
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Weighted Voting Procedure having a Unique Blocker (Other)
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Weighted Voting Procedure having a Unique Blocker
abstract: The Goods and Services Tax (GST) Council of India has a non-conventional weighted voting procedure having a primary player who is a blocker and a set of secondary players. The voting weights are not fixed and are determined based on the subset of players which participate in the voting. We introduce the notion of voting schema to formally model such a voting procedure. Individual voting games arise from a voting schema depending on the subset of secondary players who participate in the voting. We make a detailed formal study of the trade-off between the minimal sizes of winning and blocking coalitions in the voting games that can arise from a voting schema. Finally, the GST voting procedure is assessed using the theoretical results leading to suggestions for improvement.
author list: authors
status: nonPeerReviewed
status: published
has version: Weighted Voting Procedure having a Unique Blocker (PDF)
creator: Palash Sarkar
creator: Sanjay Bhattacherjee
date: 2021-01-07
is part of: repository
is part of: International Journal of Game Theory
subject: QA Mathematics (inc Computing science)
has accepted: Weighted Voting Procedure having a Unique Blocker (PDF)
has document: Weighted Voting Procedure having a Unique Blocker (PDF)
has document: Weighted Voting Procedure having a Unique Blocker (Other)
has published: Weighted Voting Procedure having a Unique Blocker (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Palash Sarkar
family name: Sarkar
given name: Palash
type: Person

Sanjay Bhattacherjee
family name: Bhattacherjee
given name: Sanjay
type: Person

International Journal of Game Theory
issn: 00207276
type: Collection

HTML Summary of #84858 Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation
format: text/html
primary topic: Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation

Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: HICSS2021.pdf
has part: HICSS2021.pdf_nocoversheet
has file: HICSS2021.pdf
has file: HICSS2021.pdf_nocoversheet
type: Document

Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (Other)
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Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (Other)
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Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (Other)
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Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (Other)
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Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (Other)
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Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation
abstract: Unanticipated accumulation and dissemination of accurate location information flows is the latest iteration of the privacy debate. This mixed-methods research contributes a grounded understanding of risk perceptions, enablers and barriers to privacy preserving behaviour in a cyber-physical environment. We conducted the first representative survey on internet privacy concerns, cyber and physical risk taking, privacy victimisation, usage of location sharing apps and transport choices in the UK with 466 participants. The responses segregated participants into four distinct, novel clusters (cyber risk takers, physical risk takers, transport innovators, and risk abstainers) with cross-validated prediction accuracy of 92%. In the second part of the study, we qualitatively explored these clusters through 12 homogeneous focus groups with 6 participants each. The predominant themes of the groups matched their clusters with little overlap between the groups. The differences in risk perception and behaviours varied greatly between the clusters. Future transport systems, apps and websites that rely on location data therefore need a more personalised approach to information provision surrounding location sharing. Failing to recognise these differences could lead to reduced data sharing, riskier sharing behaviour or even total avoidance of new forms of technology in transport.
author list: authors
status: peerReviewed
status: published
has version: Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (PDF)
creator: Hervé Borrion
creator: Ingolf Becker
creator: Michael McGuire
creator: Paul Ekblom
creator: Rebecca Posner
creator: Shujun Li
creator: Tasmina Islam
date: 2021-01-05
is part of: repository
subject: BF Psychology
subject: QA 75 Electronic computers. Computer science
subject: TK5105.875.I57 Internet
subject: TK5105.888 World Wide Web
has document: Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (PDF)
has document: Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (Other)
has published: Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

54th Hawaii International Conference on System Sciences (HICSS 2021)
type: Conference
type: Event

University of Hawaiʻi at Mānoa
type: Organization

Hervé Borrion
family name: Borrion
given name: Hervé
type: Person

Ingolf Becker
family name: Becker
given name: Ingolf
type: Person

Michael McGuire
family name: McGuire
given name: Michael
type: Person

Paul Ekblom
family name: Ekblom
given name: Paul
type: Person

Rebecca Posner
family name: Posner
given name: Rebecca
type: Person

Tasmina Islam
family name: Islam
given name: Tasmina
type: Person

HTML Summary of #90653 A unifying type-theory for higher-order (amortized) cost analysis
format: text/html
primary topic: A unifying type-theory for higher-order (amortized) cost analysis

A unifying type-theory for higher-order (amortized) cost analysis
abstract: This paper presents λ-amor, a new type-theoretic framework for amortized cost analysis of higher-order functional programs and shows that existing type systems for cost analysis can be embedded in it. λ-amor introduces a new modal type for representing potentials – costs that have been accounted for, but not yet incurred, which are central to amortized analysis. Additionally, λ-amor relies on standard type-theoretic concepts like affineness, refinement types and an indexed cost monad. λ-amor is proved sound using a rather simple logical relation. We embed two existing type systems for cost analysis in λ-amor showing that, despite its simplicity, λ-amor can simulate cost analysis for different evaluation strategies (call-by-name and call-by-value), in different styles (effect-based and coeffect-based), and with or without amortization. One of the embeddings also implies that λ-amor is relatively complete for all terminating PCF programs.
author list: authors
issue: POPL
status: peerReviewed
status: published
volume: 5
creator: Vineet Rajani
date: 2021-01-04
is part of: repository
is part of: Proceedings of the ACM on Programming Languages
subject: QA 76 Software, computer programming,
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Association for Computing Machinery New York NY United States
type: Organization

Jan Hoffmann
family name: Hoffmann
given name: Jan
type: Person

Deepak Garg
family name: Garg
given name: Deepak
type: Person

Marco Gaboardi
family name: Gaboardi
given name: Marco
type: Person

Vineet Rajani
family name: Rajani
given name: Vineet
type: Person

Proceedings of the ACM on Programming Languages
issn: 24751421
type: Collection

HTML Summary of #89042 Cyber Security Incentives and the Role of Cyber Insurance
format: text/html
primary topic: Cyber Security Incentives and the Role of Cyber Insurance

Cyber Security Incentives and the Role of Cyber Insurance (PDF)
has part: RUSI-Kent-EIP-Cyber-insurance.pdf
has part: RUSI-Kent-EIP-Cyber-insurance.pdf_nocoversheet
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type: Document

Cyber Security Incentives and the Role of Cyber Insurance (Other)
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Cyber Security Incentives and the Role of Cyber Insurance (Other)
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Cyber Security Incentives and the Role of Cyber Insurance (Other)
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Cyber Security Incentives and the Role of Cyber Insurance (Other)
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Cyber Security Incentives and the Role of Cyber Insurance (Other)
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Cyber Security Incentives and the Role of Cyber Insurance
abstract: This paper outlines the opportunities of and challenges in using cyber insurance to incentivise cyber security practices. Findings are based on a review of existing industry reports and academic research. The paper forms part of an independent research project by RUSI and the University of Kent that provides actionable policy recommendations on how to incentivise cyber security through cyber insurance. They derive from a series of interviews and workshops with insurers, businesses, cyber security providers, government and other key stakeholders. The current evidence about the ability of cyber insurance to improve cyber security practices is limited. While cyber insurers may be able to provide expertise to policyholders and increase their awareness of cyber risks, much of the existing evidence base is largely theoretical and there is still considerable scepticism from customers about the benefits of cyber insurance. The uptake of cyber insurance, particularly by small to medium enterprises (SMEs), remains low. Existing research suggests that some of the overarching factors explaining this are: the high cost of policies and the difficulties insurers face in pricing premiums appropriately; confusion over what types of incidents insurance policies cover (and the issue of ‘silent cyber’); and a lack of understanding of risks stemming from cyber incidents. There is the potential for the cyber insurance market to learn from other insurance markets to increase uptake, although understanding the depth of these connections requires further enquiry. The paper concludes by identifying several policy questions raised by the existing literature. These questions serve to guide the next stage of the project and to prompt new conversations about how cyber insurance might better incentivise cyber security practices.
author list: authors
status: peerReviewed
status: published
has version: Cyber Security Incentives and the Role of Cyber Insurance (PDF)
creator: Jason R. C. Nurse
date: 2021-01-03
is part of: repository
subject: QA Mathematics (inc Computing science)
subject: T Technology
has document: Cyber Security Incentives and the Role of Cyber Insurance (PDF)
has document: Cyber Security Incentives and the Role of Cyber Insurance (Other)
has published: Cyber Security Incentives and the Role of Cyber Insurance (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Royal United Services Institute for Defence and Security Studies
type: Organization

James Sullivan
family name: Sullivan
given name: James
type: Person

RUSI Emerging Insights Paper
type: Collection

HTML Summary of #84857 OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework
format: text/html
primary topic: OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework

OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: MPS2020.pdf
has part: MPS2020.pdf_nocoversheet
has file: MPS2020.pdf
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type: Document

OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (Other)
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OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (Other)
has part: preview.jpg
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is version of: OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (PDF)
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OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (Other)
has part: medium.jpg
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is version of: OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (PDF)
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OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (Other)
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OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (Other)
has part: indexcodes.txt
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type: Document

OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework
abstract: Benchmarking digital watermarking algorithms is not an easy task because different applications of digital watermarking often have very different sets of requirements and trade-offs between conflicting requirements. While there have been some general-purpose digital watermarking benchmarking systems available, they normally do not support complicated benchmarking tasks and cannot be easily reconfigured to work with different watermarking algorithms and testing conditions. In this paper, we propose OR-Benchmark, an open and highly reconfigurable general-purpose digital watermarking benchmarking framework, which has the following two key features: 1) all the interfaces are public and general enough to support all watermarking applications and benchmarking tasks we can think of; 2) end users can easily extend the functionalities and freely configure what watermarking algorithms are tested, what system components are used, how the benchmarking process runs, and what results should be produced. We implemented a prototype of this framework as a MATLAB software package and demonstrate how it can be used in three typical use cases. The first two use cases show how easily we can define benchmarking profiles for some robust image watermarking algorithms. The third use case shows how OR-Benchmark can be configured to benchmark some image watermarking algorithms for content authentication and self-restoration, which cannot be easily supported by other digital watermarking benchmarking systems.
author list: authors
status: peerReviewed
status: published
has version: OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (PDF)
creator: Anthony T.S. Ho
creator: Hui Wang
creator: Shujun Li
date: 2021-01-03
is part of: repository
subject: QA 75 Electronic computers. Computer science
subject: QA76.575 Multimedia systems
subject: TK5102.9 Signal processing
subject: TK7885 Computer engineering. Computer hardware
has accepted: OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (PDF)
has document: OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (PDF)
has document: OR-Benchmark: An Open and Reconfigurable Digital Watermarking Benchmarking Framework (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

3rd International Workshop on Multimedia Privacy and Security (MPS 2020)
type: Conference
type: Event

Anthony T.S. Ho
family name: Ho
given name: Anthony T.S.
type: Person

Hui Wang
family name: Wang
given name: Hui
type: Person

HTML Summary of #85315 Constraints on Hebbian and STDP learned weights of a spiking neuron
format: text/html
primary topic: Constraints on Hebbian and STDP learned weights of a spiking neuron

Constraints on Hebbian and STDP learned weights of a spiking neuron (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Chu2020_Constraints-on-Hebbian-and-STDP-learned-weights-of-a-spiking-neuron.pdf
has part: Chu2020_Constraints-on-Hebbian-and-STDP-learned-weights-of-a-spiking-neuron.pdf_nocoversheet
has file: Chu2020_Constraints-on-Hebbian-and-STDP-learned-weights-of-a-spiking-neuron.pdf
has file: Chu2020_Constraints-on-Hebbian-and-STDP-learned-weights-of-a-spiking-neuron.pdf_nocoversheet
type: Document

Constraints on Hebbian and STDP learned weights of a spiking neuron (Other)
has part: indexcodes.txt
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Constraints on Hebbian and STDP learned weights of a spiking neuron (Other)
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Constraints on Hebbian and STDP learned weights of a spiking neuron (Other)
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Constraints on Hebbian and STDP learned weights of a spiking neuron (Other)
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Constraints on Hebbian and STDP learned weights of a spiking neuron (Other)
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Constraints on Hebbian and STDP learned weights of a spiking neuron
abstract: We analyse mathematically the constraints on weights resulting from Hebbian and STDP learning rules applied to a spiking neuron with weight normalisation. In the case of pure Hebbian learning, we find that the normalised weights equal the promotion probabilities of weights up to correction terms that depend on the learning rate and are usually small. A similar relation can be derived for STDP algorithms, where the normalised weight values reflect a difference between the promotion and demotion probabilities of the weight. These relations are practically useful in that they allow checking for convergence of Hebbian and STDP algorithms. Another application is novelty detection. We demonstrate this using the MNIST dataset.
author list: authors
status: peerReviewed
status: published
volume: 135
has version: Constraints on Hebbian and STDP learned weights of a spiking neuron (PDF)
creator: Dominique Chu
creator: Huy Le Nguyen
date: 2021-01-02
is part of: repository
is part of: Neural Networks
subject: Q335 Artificial intelligence
has accepted: Constraints on Hebbian and STDP learned weights of a spiking neuron (PDF)
has document: Constraints on Hebbian and STDP learned weights of a spiking neuron (PDF)
has document: Constraints on Hebbian and STDP learned weights of a spiking neuron (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Huy Le Nguyen
family name: Nguyen
given name: Huy Le
type: Person

Neural Networks
issn: 08936080
type: Collection

HTML Summary of #85287 Towards a Synthetic Benchmark to Assess VM Startup, Warmup, and Cold-Code Performance
format: text/html
primary topic: Towards a Synthetic Benchmark to Assess VM Startup, Warmup, and Cold-Code Performance

Towards a Synthetic Benchmark to Assess VM Startup, Warmup, and Cold-Code Performance
author list: authors
status: published
creator: Stefan Marr
date: 2021-01-02
is part of: repository
subject: QA 76 Software, computer programming,
type: Article
type: EPrint
type: InternetEPrint

HTML Summary of #90655 Permissive runtime information flow control in the presence of exceptions
format: text/html
primary topic: Permissive runtime information flow control in the presence of exceptions

Permissive runtime information flow control in the presence of exceptions
abstract: Information flow control (IFC) has been extensively studied as an approach to mitigate information leaks in applications. A vast majority of existing work in this area is based on static analysis. However, some applications, especially on the Web, are developed using dynamic languages like JavaScript where static analyses for IFC do not scale well. As a result, there has been a growing interest in recent years to develop dynamic or runtime information flow analysis techniques. In spite of the advances in the field, runtime information flow analysis has not been at the helm of information flow security, one of the reasons being that the analysis techniques and the security property related to them (non-interference) over-approximate information flows (particularly implicit flows), generating many false positives. In this paper, we present a sound and precise approach for handling implicit leaks at runtime. In particular, we present an improvement and enhancement of the so-called permissive-upgrade strategy, which is widely used to tackle implicit leaks in dynamic information flow control. We improve the strategy’s permissiveness and generalize it. Building on top of it, we present an approach to handle implicit leaks when dealing with complex features like unstructured control flow and exceptions in higher-order languages. We explain how we address the challenge of handling unstructured control flow using immediate post-dominator analysis. We prove that our approach is sound and precise.
author list: authors
issue: 4
status: peerReviewed
status: published
volume: 29
creator: Vineet Rajani
date: 2021-01-01
is part of: repository
is part of: Journal of Computer Security
subject: QA 76 Software, computer programming,
subject: QA Mathematics (inc Computing science)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

IOS Press
type: Organization

Abhishek Bichhawat
family name: Bichhawat
given name: Abhishek
type: Person

Christian Hammer
family name: Hammer
given name: Christian
type: Person

Deepak Garg
family name: Garg
given name: Deepak
type: Person

Journal of Computer Security
issn: 0926227X
type: Collection

HTML Summary of #91723 An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data
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primary topic: An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data

An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data (PDF)
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An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data (Other)
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An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data (Other)
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An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data (Other)
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An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data (Other)
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An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data (Other)
is version of: An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data (PDF)
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An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data
abstract: Coping with uncertainty is a very challenging issue in many real-world applications. However, conventional classification models usually assume there is no uncertainty in data at all. In order to fill this gap, there has been a growing number of studies addressing the problem of classification based on uncertain data. Although some methods resort to ignoring uncertainty or artificially removing it from data, it has been shown that predictive performance can be improved by actually incorporating information on uncertainty into classification models. This paper proposes an approach for building an ensemble of classifiers for uncertain categorical data based on biased random subspaces. Using Naive Bayes classifiers as base models, we have applied this approach to classify ageing-related genes based on real data, with uncertain features representing protein-protein interactions. Our experimental results show that models based on the proposed approach achieve better predictive performance than single Naive Bayes classifiers and conventional ensembles.
author list: authors
status: peerReviewed
status: published
has version: An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data (PDF)
creator: Alex A. Freitas
date: 2021
is part of: repository
subject: Q335 Artificial intelligence
has accepted: An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data (PDF)
has document: An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data (PDF)
has document: An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

21st IEEE International Conference on Data Mining (ICDM 2021)
type: Conference
type: Event

New Zealand (Virtual)
type: SpatialThing

M.R.H. Maia
family name: Maia
given name: M.R.H.
type: Person

A. Plastino
family name: Plastino
given name: A.
type: Person

HTML Summary of #84044 A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges
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primary topic: A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges

A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (PDF)
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A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (Other)
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A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (Other)
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A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (Other)
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A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (Other)
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is volatile version of: A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (PDF)
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type: Document

A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (Other)
has part: small.jpg
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is version of: A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (PDF)
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type: Document

A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges
abstract: Despite the substantial research interest in using Virtual Reality (VR) in healthcare in general and in Psychological, Cognitive, and Behavioral (PC&B) interventions in specific, as well as emerging research supporting the efficacy of VR in healthcare, the design process of translating therapies into VR to meet the needs of critical stakeholders such as users and clinicians is rarely addressed. In this paper, we aim to shed light onto the design needs, opportunities and challenges in designing efficient and effective PC&B-VR interventions. Through analyzing the co-design processes of four user-centered PC&B-VR interventions, we examined how therapies were adapted into VR to meet stakeholders’ requirements, explored design elements for meaningful experiences, and investigated how the understanding of healthcare contexts contribute to the VR intervention design. This paper presents the HCI research community with design opportunities and challenges as well as future directions for PC&B-VR intervention design.
author list: authors
issue: 9
status: peerReviewed
status: published
volume: 37
has version: A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (PDF)
creator: Chee Siang Ang
creator: Luma Tabbaa
creator: Panote Siriaraya
date: 2021
is part of: repository
is part of: Int J of Human Computer Interaction
subject: QA76.9.H85 Human computer interaction
has accepted: A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (PDF)
has document: A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (PDF)
has document: A Reflection on Virtual Reality Design for Psychological, Cognitive & Behavioral Interventions: Design Needs, Opportunities & Challenges (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Taylor & Francis
type: Organization

Wan Jou She
family name: She
given name: Wan Jou
type: Person

Holly Gwen Prigerson
family name: Prigerson
given name: Holly Gwen
type: Person

Panote Siriaraya
family name: Siriaraya
given name: Panote
type: Person

Int J of Human Computer Interaction
issn: 10447318
type: Collection

HTML Summary of #79002 Evaluating graphical manipulations in automatically laid out LineSets
format: text/html
primary topic: Evaluating graphical manipulations in automatically laid out LineSets

Evaluating graphical manipulations in automatically laid out LineSets (PDF)
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type: Document

Evaluating graphical manipulations in automatically laid out LineSets (Other)
is index codes version of: Evaluating graphical manipulations in automatically laid out LineSets (PDF)
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type: Document

Evaluating graphical manipulations in automatically laid out LineSets (Other)
is version of: Evaluating graphical manipulations in automatically laid out LineSets (PDF)
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type: Document

Evaluating graphical manipulations in automatically laid out LineSets (Other)
is version of: Evaluating graphical manipulations in automatically laid out LineSets (PDF)
is volatile version of: Evaluating graphical manipulations in automatically laid out LineSets (PDF)
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type: Document

Evaluating graphical manipulations in automatically laid out LineSets (Other)
is version of: Evaluating graphical manipulations in automatically laid out LineSets (PDF)
is volatile version of: Evaluating graphical manipulations in automatically laid out LineSets (PDF)
ismedium thumbnail version of: Evaluating graphical manipulations in automatically laid out LineSets (PDF)
type: Document

Evaluating graphical manipulations in automatically laid out LineSets (Other)
is version of: Evaluating graphical manipulations in automatically laid out LineSets (PDF)
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type: Document

Evaluating graphical manipulations in automatically laid out LineSets
abstract: This paper presents an empirical study to determine whether alterations to graphical features (colour and size) of automatically generated LineSets improve task performance. LineSets are used to visualise sets and networks. The increasingly common nature of such data suggests that having effective visualisations is important. Unlike many approaches to set and network visualisation, which often use concave or convex shapes to represent sets alongside graphs, LineSets use lines overlaid on a graph. LineSets have been shown to be advantageous over shape-based approaches. However, the graphical properties of LineSets have not been fully explored. Our results suggest that automatically drawn LineSets can be significantly improved for certain tasks through the considered use of colour alongside size variations applied to their graphical elements. In particular, we show that perceptually distinguishable colours, lines of varying width, and nodes of varying diameter lead to improved task performance in automatically laid-out LineSets.
author list: authors
issue: 4
status: peerReviewed
status: published
volume: 40
has version: Evaluating graphical manipulations in automatically laid out LineSets (PDF)
creator: Dominique Tranquille
creator: Gem Stapleton
creator: Jim Burton
creator: Peter Rodgers
date: 2021
is part of: repository
is part of: Behaviour & Information Technology
subject: QA76.9.H85 Human computer interaction
has accepted: Evaluating graphical manipulations in automatically laid out LineSets (PDF)
has document: Evaluating graphical manipulations in automatically laid out LineSets (PDF)
has document: Evaluating graphical manipulations in automatically laid out LineSets (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Taylor and Francis
type: Organization

Dominique Tranquille
family name: Tranquille
given name: Dominique
type: Person

Gem Stapleton
family name: Stapleton
given name: Gem
type: Person

Jim Burton
family name: Burton
given name: Jim
type: Person

Behaviour & Information Technology
issn: 0144929X
type: Collection

HTML Summary of #85286 The Shape of 6M Lines of Ruby
format: text/html
primary topic: The Shape of 6M Lines of Ruby

The Shape of 6M Lines of Ruby
author list: authors
status: published
creator: Stefan Marr
date: 2020-12-30
is part of: repository
subject: QA 76 Software, computer programming,
type: Article
type: EPrint
type: InternetEPrint

HTML Summary of #85290 Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework
format: text/html
primary topic: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Lam_Preprint_DSP_Journal.pdf
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type: Document

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (Other)
is index codes version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
is version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
is volatile version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
type: Document

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (Other)
is version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
is volatile version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
islightbox thumbnail version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
type: Document

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (Other)
is version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
is volatile version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
ispreview thumbnail version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
type: Document

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (Other)
is version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
is volatile version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
ismedium thumbnail version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
type: Document

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (Other)
is version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
is volatile version of: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
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type: Document

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework
abstract: This article proposes an encoder-decoder network model for Acoustic Scene Classification (ASC), the task of identifying the scene of an audio recording from its acoustic signature. We make use of multiple low-level spectrogram features at the front-end, transformed into higher level features through a well-trained CNN-DNN front-end encoder. The high-level features and their combination (via a trained feature combiner) are then fed into different decoder models comprising random forest regression, DNNs and a mixture of experts, for back-end classification. We conduct extensive experiments to evaluate the performance of this framework on various ASC datasets, including LITIS Rouen and IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) 2016 Task 1, 2017 Task 1, 2018 Tasks 1A & 1B and 2019 Tasks 1A & 1B. The experimental results highlight two main contributions; the first is an effective method for high-level feature extraction from multi-spectrogram input via the novel CNN-DNN architecture encoder network, and the second is the proposed decoder which enables the framework to achieve competitive results on various datasets. The fact that a single framework is highly competitive for several different challenges is an indicator of its robustness for performing general ASC tasks.
author list: authors
status: peerReviewed
status: published
has version: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
creator: Huy Phan
creator: I. McLoughlin
creator: Lam Dang Pham
creator: Afred Mertins
creator: Ramaswamy Palaniappan
date: 2020-12-19
is part of: repository
is part of: Digital Signal Processing
has accepted: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
has document: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (PDF)
has document: Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Truc Nguyen
family name: Nguyen
given name: Truc
type: Person

Afred Mertins
family name: Mertins
given name: Afred
type: Person
given name: Alfred
name: Alfred Mertins

Digital Signal Processing
issn: 10512004
type: Collection

HTML Summary of #89542 Stochastic local search and parameters recommendation: a case study on flowshop problems
format: text/html
primary topic: Stochastic local search and parameters recommendation: a case study on flowshop problems

Stochastic local search and parameters recommendation: a case study on flowshop problems
author list: authors
status: peerReviewed
status: published
creator: Alex A. Freitas
date: 2020-12-17
is part of: repository
is part of: International Transactions in Operational Research
subject: Q335 Artificial intelligence
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

L Pavelski
family name: Pavelski
given name: L
type: Person

Myriam Delgado
family name: Delgado
given name: Myriam
type: Person

M.E. Kessaci
family name: Kessaci
given name: M.E.
type: Person

International Transactions in Operational Research
issn: 14753995
type: Collection

HTML Summary of #82586 Neurocognition-inspired Design with Machine Learning
format: text/html
primary topic: Neurocognition-inspired Design with Machine Learning

Neurocognition-inspired Design with Machine Learning (PDF)
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Neurocognition-inspired Design with Machine Learning (Other)
is index codes version of: Neurocognition-inspired Design with Machine Learning (PDF)
is version of: Neurocognition-inspired Design with Machine Learning (PDF)
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type: Document

Neurocognition-inspired Design with Machine Learning (Other)
is version of: Neurocognition-inspired Design with Machine Learning (PDF)
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Neurocognition-inspired Design with Machine Learning (Other)
is version of: Neurocognition-inspired Design with Machine Learning (PDF)
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ispreview thumbnail version of: Neurocognition-inspired Design with Machine Learning (PDF)
type: Document

Neurocognition-inspired Design with Machine Learning (Other)
is version of: Neurocognition-inspired Design with Machine Learning (PDF)
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Neurocognition-inspired Design with Machine Learning (Other)
is version of: Neurocognition-inspired Design with Machine Learning (PDF)
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Neurocognition-inspired Design with Machine Learning
abstract: Generating design via machine learning has been an on-going challenge in computer-aided design. Recently, deep learning methods have been applied to randomly generate images in fashion, furniture and product design. However, such deep generative methods usually require a large number of training images and human aspects are not taken into account in the design process. In this work, we seek a way to involve human cognitive factors through brain activity indicated by electroencephalographic measurements (EEG) in the generative process. We propose a neuroscience-inspired design with machine learning method where EEG is used to capture preferred design features. Such signals are used as a condition in generative adversarial networks (GAN). Firstly, we employ a recurrent neural network (LSTM - Long Short-Term Memory) as an encoder to extract EEG features from raw EEG signals; this data is recorded from subjects viewing several categories of images from ImageNet. Secondly, we train a GAN model conditioned on the encoded EEG features to generate design images. Thirdly, we use the model to generate design images from the subject’s EEG measured brain activity.
author list: authors
issue: e33
status: peerReviewed
status: published
volume: 6
has version: Neurocognition-inspired Design with Machine Learning (PDF)
creator: Ling Li
date: 2020-12-17
is part of: repository
subject: NK Decorative arts. Applied arts. Decoration and ornament
subject: Q Science (General)
has accepted: Neurocognition-inspired Design with Machine Learning (PDF)
has document: Neurocognition-inspired Design with Machine Learning (PDF)
has document: Neurocognition-inspired Design with Machine Learning (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

NK Decorative arts. Applied arts. Decoration and ornament
type: Concept

Cambridge University Press
type: Organization

Yike Guo
family name: Guo
given name: Yike
type: Person

Peter Childs
family name: Childs
given name: Peter
type: Person

Pan Wang
family name: Wang
given name: Pan
type: Person

Zhen Wei
family name: Wei
given name: Zhen
type: Person

Shuo Wang
family name: Wang
given name: Shuo
type: Person

Chao Wu
family name: Wu
given name: Chao
type: Person

Danlin Peng
family name: Peng
given name: Danlin
type: Person

Design Science
type: Collection

HTML Summary of #85285 The Shape of 1.7M Lines of Code
format: text/html
primary topic: The Shape of 1.7M Lines of Code

The Shape of 1.7M Lines of Code
author list: authors
status: published
creator: Stefan Marr
date: 2020-12-14
is part of: repository
subject: QA76.76 Computer software
type: Article
type: EPrint
type: InternetEPrint

HTML Summary of #82204 SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes
format: text/html
primary topic: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes

SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: bonheme20SemEval2020.pdf
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type: Document

SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
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is version of: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
is volatile version of: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
type: Document

SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
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SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
has part: preview.jpg
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SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
has part: medium.jpg
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is version of: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
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type: Document

SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
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SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
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SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
has part: lightbox.jpg
has file: lightbox.jpg
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is volatile version of: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
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type: Document

SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
has part: preview.jpg
has file: preview.jpg
is version of: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
is volatile version of: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
ispreview thumbnail version of: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
type: Document

SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
has part: medium.jpg
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ismedium thumbnail version of: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
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SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
has part: small.jpg
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type: Document

SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
is version of: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
is volatile version of: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
type: Document

SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes
abstract: This paper presents our submission to task 8 (memotion analysis) of the SemEval 2020 competition. We explain the algorithms that were used to learn our models along with the process of tuning the algorithms and selecting the best model. Since meme analysis is a challenging task withtwo distinct modalities, we studied the impact of different multimodal representation strategies. The results of several approaches to dealing with multimodal data are therefore discussed in the paper. We found that alignment-based strategies did not perform well on memes. Our quantitative results also showed that images and text were uncorrelated. Fusion-based strategies did not show significant improvements and using one modality only (text or image) tends to lead to better results when applied with the predictive models that we used in our research.
author list: authors
status: peerReviewed
status: published
has version: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
creator: Lisa Bonheme
creator: Marek Grześ
date: 2020-12
is part of: repository
subject: Q335 Artificial intelligence
has accepted: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
has document: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
has document: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (Other)
has published: SESAM at SemEval-2020 Task 8: Investigating the relationship between image and text in sentiment analysis of memes (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

14th International Workshop on Semantic Evaluation (SemEval-2020)
type: Conference
type: Event

Barcelona, Spain
type: SpatialThing

Lisa Bonheme
family name: Bonheme
given name: Lisa
type: Person

HTML Summary of #85577 Face Perception and Recognition, on the Fringe of Human Awareness.
format: text/html
primary topic: Face Perception and Recognition, on the Fringe of Human Awareness.

Face Perception and Recognition, on the Fringe of Human Awareness. (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: 94Omid_Hajilou_-_PhD_Thesis_2020.pdf
has part: 94Omid_Hajilou_-_PhD_Thesis_2020.pdf_nocoversheet
has file: 94Omid_Hajilou_-_PhD_Thesis_2020.pdf
has file: 94Omid_Hajilou_-_PhD_Thesis_2020.pdf_nocoversheet
type: Document

Face Perception and Recognition, on the Fringe of Human Awareness. (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Face Perception and Recognition, on the Fringe of Human Awareness. (PDF)
is version of: Face Perception and Recognition, on the Fringe of Human Awareness. (PDF)
is volatile version of: Face Perception and Recognition, on the Fringe of Human Awareness. (PDF)
type: Document

Face Perception and Recognition, on the Fringe of Human Awareness. (Other)
has part: lightbox.jpg
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Face Perception and Recognition, on the Fringe of Human Awareness. (Other)
has part: preview.jpg
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Face Perception and Recognition, on the Fringe of Human Awareness. (Other)
has part: medium.jpg
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Face Perception and Recognition, on the Fringe of Human Awareness. (Other)
has part: small.jpg
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type: Document

Face Perception and Recognition, on the Fringe of Human Awareness.
THS: Howard Bowman
abstract: In Rapid Serial Visual Presentation (RSVP), we can present a large volume of information, on the fringe of awareness, whilst observing the brain's electrical signals using an Electroencephalogram (EEG). The vast majority of stimuli are not consciously perceived, but the salient ones breakthrough into awareness, enter into working memory and can be reported by the participant (Bowman, et al., 2013). Deception detection studies have successfully employed this countermeasure resistant fringe-P3 method, using letters, numbers and words (Bowman, Filetti, Alsufyani, Janssen, & Su, 2014), to differentiate between familiar and unfamiliar information. The inclusion of faces, and their application in Concealed Information Tests (CIT) have yet to be fully explored. In this thesis, we hypothesised that the fringe-P3 method could be successfully used to detect intrinsic salience of familiar faces, even when there was no task associated with the stimuli. Using experiments, we investigated the sensitivity of the ERP-based RSVP paradigm, to infer recognition of celebrity, as well as, lecturer faces, and performed statistical tests in the Time and Frequency domains, to differentiate between known and unknown faces, at group and subject levels. Furthermore, we used ground-truth data simulations to explore the viability of using online statistical tests, to focus experimental data collection efforts, on the critical stimulus with the highest significance, in order to improve statistical power (i.e. reduce the risk of Type II errors), without the inflation of Type I errors. As a result, we introduced new methods of analysis, and a two-part experimental design, where Part II's parameters are independently influenced by Part I's results, using online statistical tests. Finally, we applied our new findings in a concluding experiment, which explored a real-life scenario of revealing participants' familiarity with their lecturers, through the data captured from their brain. Our findings pro…
author list: authors
degree: phd
status: published
creator: Omid Hajilou
date: 2020-12
is part of: repository
has document: Face Perception and Recognition, on the Fringe of Human Awareness. (PDF)
has document: Face Perception and Recognition, on the Fringe of Human Awareness. (Other)
type: Article
type: Thesis
type: EPrint
type: ThesisEPrint

Omid Hajilou
family name: Hajilou
given name: Omid
type: Person

HTML Summary of #87091 A study on the statistical evaluation of classifiers
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primary topic: A study on the statistical evaluation of classifiers

A study on the statistical evaluation of classifiers (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Knowl-Eng-Rev-J-2020-Nadine-post-review-final.pdf
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A study on the statistical evaluation of classifiers (Other)
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A study on the statistical evaluation of classifiers (Other)
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A study on the statistical evaluation of classifiers (Other)
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A study on the statistical evaluation of classifiers (Other)
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A study on the statistical evaluation of classifiers (Other)
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A study on the statistical evaluation of classifiers
abstract: Statistical significance analysis, based on hypothesis tests, is a common approach for comparing classifiers. However, many studies oversimplify this analysis by simply checking the condition p-value < 0.05, ignoring important concepts such as the effect size and the statistical power of the test. This problem is so worrying that the American Statistical Association has taken a strong stand on the subject, noting that although the p-value is a useful statistical measure, it has been abusively used and misinterpreted. This work highlights problems caused by the misuse of hypothesis tests and shows how the effect size and the power of the test can provide important information for better decision-making. To investigate these issues, we perform empirical studies with different classifiers and 50 datasets, using the Student’s t-test and the Wilcoxon test to compare classifiers. The results show that an isolated p-value analysis can lead to wrong conclusions and that the evaluation of the effect size and the power of the test contributes to a more principled decision-making.
author list: authors
issue: e1
status: peerReviewed
status: published
volume: 36
has version: A study on the statistical evaluation of classifiers (PDF)
creator: Alex A. Freitas
date: 2020-11-27
is part of: repository
is part of: Knowledge Engineering Review
subject: Q335 Artificial intelligence
has accepted: A study on the statistical evaluation of classifiers (PDF)
has document: A study on the statistical evaluation of classifiers (PDF)
has document: A study on the statistical evaluation of classifiers (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Nadine M. Neumann
family name: Neumann
given name: Nadine M.
type: Person

Alexandre Plastino
family name: Plastino
given name: Alexandre
type: Person

Jony A. Pinto Junior
family name: Pinto Junior
given name: Jony A.
type: Person

Knowledge Engineering Review
issn: 02698889
type: Collection

HTML Summary of #82960 Why Current Statistical Approaches to Ransomware Detection Fail
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primary topic: Why Current Statistical Approaches to Ransomware Detection Fail

Why Current Statistical Approaches to Ransomware Detection Fail (PDF)
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Why Current Statistical Approaches to Ransomware Detection Fail (Other)
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Why Current Statistical Approaches to Ransomware Detection Fail (Other)
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Why Current Statistical Approaches to Ransomware Detection Fail (Other)
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Why Current Statistical Approaches to Ransomware Detection Fail (Other)
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Why Current Statistical Approaches to Ransomware Detection Fail (Other)
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Why Current Statistical Approaches to Ransomware Detection Fail
abstract: The frequent use of basic statistical techniques to detect ransomware is a popular and intuitive strategy; statistical tests can be used to identify randomness, which in turn can indicate the presence of encryption and, by extension, a ransomware attack. However, common file formats such as images and compressed data can look random from the perspective of some of these tests. In this work, we investigate the current frequent use of statistical tests in the context of ransomware detection, primarily focusing on false positive rates. The main aim of our work is to show that the current over-dependence on simple statistical tests within anti-ransomware tools can cause serious issues with the reliability and consistency of ransomware detection in the form of frequent false classifications. We determined thresholds for five key statistics frequently used in detecting randomness, namely Shannon entropy, chi-square, arithmetic mean, Monte Carlo estimation for Pi and serial correlation coefficient. We obtained a large data set of 84,327 files comprising of images, compressed data and encrypted data. We then tested these thresholds (taken from a variety of previous publications in the literature where possible) against our dataset, showing that the rate of false positives is far beyond what could be considered acceptable. False positive rates were often above 50% and even above 90% on several occasions. False negative rates were also generally between 5% and 20%, numbers which are also far too high. As a direct result of these experiments, we determine that relying on these simple statistical approaches is not good enough to detect ransomware attacks consistently. We instead recommend the exploration of higher-order statistics such as skewness and kurtosis for future ransomware detection techniques.
author list: authors
status: peerReviewed
status: published
volume: 12472
has version: Why Current Statistical Approaches to Ransomware Detection Fail (PDF)
creator: Budi Arief
creator: Julio C. Hernandez-Castro
creator: Jamie Pont
date: 2020-11-25
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA 76 Software, computer programming,
has accepted: Why Current Statistical Approaches to Ransomware Detection Fail (PDF)
has document: Why Current Statistical Approaches to Ransomware Detection Fail (PDF)
has document: Why Current Statistical Approaches to Ransomware Detection Fail (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

23rd Information Security Conference
type: Conference
type: Event

Bali, Indonesia
type: SpatialThing

HTML Summary of #84063 Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases
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primary topic: Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases

Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases (PDF)
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Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases (Other)
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Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases (Other)
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Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases (Other)
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Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases (Other)
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Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases (Other)
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Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases
abstract: This paper presents a mapping framework for design factors and an implementation process for building credible Industrial Control Systems (ICS) security testbeds. The security and resilience of ICSs has become a critical concern to operators and governments following widely publicised cyber security events. The inability to apply conventional Information Technology security practice to ICSs further compounds challenges in adequately securing critical systems. To overcome these challenges, and do so without impacting live environments, testbeds are widely used for the exploration, development, and evaluation of security controls. However, how a testbed is designed and its attributes, can directly impact not only its viability but also its credibility. Combining systematic and thematic analysis, and the mapping of identified ICS security testbed design attributes, we propose a novel relationship map of credibility-supporting design factors (and their associated attributes) and a process implementation flow structure for ICS security testbeds. The framework and implementation process highlight the significance of demonstrating some design factors such as user/experimenter expertise, clearly defined testbed design objectives, simulation implementation approach, covered architectural components, core structural and functional characteristics covered, and evaluations to enhance confidence, trustworthiness and acceptance of ICS security testbeds as credible. These can streamline testbed requirement definition, improve design consistency and quality while reducing implementation costs.
author list: authors
status: peerReviewed
status: published
has version: Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases (PDF)
creator: Jason R. C. Nurse
date: 2020-11-23
is part of: repository
is part of: Journal of Cyber Security Technology
subject: T Technology
subject: TA Engineering (General). Civil engineering (General)
has accepted: Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases (PDF)
has document: Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases (PDF)
has document: Design Considerations for Building Credible Security Testbeds: Perspectives from Industrial Control System Use Cases (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

TA Engineering (General). Civil engineering (General)
type: Concept

Barnaby Craggs
family name: Craggs
given name: Barnaby
type: Person

Jeremy D. McK. Watson
family name: Watson
given name: Jeremy D. McK.
type: Person

Uchenna D. Ani
family name: Ani
given name: Uchenna D.
type: Person

Benjamin Green
family name: Green
given name: Benjamin
type: Person

Journal of Cyber Security Technology
issn: 23742917
type: Collection

HTML Summary of #82894 Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach
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primary topic: Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach

Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (PDF)
license: http://creativecommons.org/licenses/by/3.0/
type: Document

Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (Other)
has part: indexcodes.txt
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Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (Other)
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Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (Other)
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Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (Other)
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Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (Other)
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Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (Other)
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Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (Other)
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Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (Other)
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Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (Other)
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Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (Other)
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Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach
abstract: There has been considerable debate and concern as to whether there is a replication crisis in the scientific literature. A likely cause of poor replication is the multiple comparisons problem. An important way in which this problem can manifest in the M/EEG context is through post hoc tailoring of analysis windows (a.k.a. regions-of-interest, ROIs) to landmarks in the collected data. Post hoc tailoring of ROIs is used because it allows researchers to adapt to inter-experiment variability and discover novel differences that fall outside of windows defined by prior precedent, thereby reducing Type II errors. However, this approach can dramatically inflate Type I error rates. One way to avoid this problem is to tailor windows according to a contrast that is orthogonal (strictly parametrically orthogonal) to the contrast being tested. A key approach of this kind is to identify windows on a fully flattened average. On the basis of simulations, this approach has been argued to be safe for post hoc tailoring of analysis windows under many conditions. Here, we present further simulations and mathematical proofs to show exactly why the Fully Flattened Average approach is unbiased, providing a formal grounding to the approach, clarifying the limits of its applicability and resolving published misconceptions about the method. We also provide a statistical power analysis, which shows that, in specific contexts, the fully flattened average approach provides higher statistical power than Fieldtrip cluster inference. This suggests that the Fully Flattened Average approach will enable researchers to identify more effects from their data without incurring an inflation of the false positive rate.
author list: authors
issue: 11
status: peerReviewed
status: published
volume: 16
has version: Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (PDF)
creator: Omid Hajilou
creator: Howard Bowman
creator: Joseph L Brooks
date: 2020-11-23
is part of: repository
is part of: PLoS Computational Biology
subject: BF Psychology
subject: RC321 Neuroscience. Biological psychiatry. Neuropsychiatry
has accepted: Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (PDF)
has document: Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (PDF)
has document: Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (Other)
has published: Breaking the Circularity in Circular Analyses: Simulations and Formal Treatment of the Flattened Average Approach (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Vladimir Litvak
family name: Litvak
given name: Vladimir
type: Person

Alexia Zoumpoulaki
family name: Zoumpoulaki
given name: Alexia
type: Person

Joseph L Brooks
family name: Brooks
given name: Joseph L
type: Person

PLoS Computational Biology
issn: 1553734X
type: Collection

HTML Summary of #82447 Backjumping is Exception Handling
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primary topic: Backjumping is Exception Handling

Backjumping is Exception Handling (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
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Backjumping is Exception Handling (Other)
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Backjumping is Exception Handling (Other)
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Backjumping is Exception Handling (Other)
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Backjumping is Exception Handling (Other)
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Backjumping is Exception Handling (Other)
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Backjumping is Exception Handling (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Backjumping is Exception Handling (Other)
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Backjumping is Exception Handling (Other)
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Backjumping is Exception Handling (Other)
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Backjumping is Exception Handling (Other)
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Backjumping is Exception Handling (Other)
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Backjumping is Exception Handling
abstract: ISO Prolog provides catch and throw to realise the control flow of exception handling. This pearl demonstrates that catch and throw are inconspicuously amenable to the implementation of backjumping. In fact, they have precisely the semantics required: rewinding the search to a specific point, and carrying of a preserved term to that point. The utility of these properties is demonstrated through an implementation of graph colouring with backjumping and a backjumping SAT solver that applies Conflict Driven Clause Learning.
author list: authors
status: peerReviewed
status: published
has version: Backjumping is Exception Handling (PDF)
creator: Andy King
creator: Ed Robbins
date: 2020-11-16
is part of: repository
is part of: Theory and Practice of Logic Programming
subject: QA 76 Software, computer programming,
has accepted: Backjumping is Exception Handling (PDF)
has document: Backjumping is Exception Handling (PDF)
has document: Backjumping is Exception Handling (Other)
has published: Backjumping is Exception Handling (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Cambridge Univerity Press
type: Organization

Jacob M. Howe
family name: Howe
given name: Jacob M.
type: Person

Andy King
family name: King
given name: Andy
type: Person

Ed Robbins
family name: Robbins
given name: Ed
type: Person

Theory and Practice of Logic Programming
issn: 14710684
type: Collection

HTML Summary of #83544 Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review
format: text/html
primary topic: Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review

Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review (PDF)
has part: Cyber Abuse Impact on Adult Mental Health - AAM.pdf
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Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review (Other)
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Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review (Other)
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Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review (Other)
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Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review (Other)
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Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review (Other)
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Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review
abstract: As Internet use increases, there is a growing risk of online harms, including cyber stalking and cyber harassment. However, there has been limited research investigating the impact of such online harms upon adults’ well-being. This paper engages in a systematic literature review concerning the mental health impact of online stalking and harassment for adult victims to further understand their experiences and the effects these have on their lives. Our research utilised the PRISMA technique to review papers published in eight online databases. A total of 1,204 articles were extracted, and ultimately 43 articles analysed. Forty-two of the reviewed articles reported that victims of cyber stalking and/or harassment experienced a multitude of harmful and detrimental consequences for their mental health including depression, anxiety, suicidal ideation and panic attacks. Victims recounted the lack of support they received from the criminal justice system, and their subsequent distrust of technology post abuse. Only one study found no relationship between cyber abuse victimisation and the well-being dimensions they examined. Our research highlights the need to devise practical solutions to tackle and minimise this victimisation. Furthermore, it underlines the necessity for adult education concerning safer technology use, as well as for researchers to be transparent regarding the platforms that victims have been abused on so we can better infer where and how exactly individuals need support to interact safely online.
author list: authors
status: peerReviewed
status: published
has version: Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review (PDF)
creator: Budi Arief
creator: Jason R. C. Nurse
date: 2020-11-12
is part of: repository
is part of: Cyberpsychology, Behavior, and Social Networking
subject: QA 76 Software, computer programming,
has accepted: Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review (PDF)
has document: Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review (PDF)
has document: Cyber Stalking, Cyber Harassment and Adult Mental Health: A Systematic Review (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Mary Ann Liebert
type: Organization

Francesca Stevens
family name: Stevens
given name: Francesca
type: Person

Cyberpsychology, Behavior, and Social Networking
issn: 21522715
type: Collection

HTML Summary of #84855 The World of Defacers: Looking through the Lens of Their Activities on Twitter
format: text/html
primary topic: The World of Defacers: Looking through the Lens of Their Activities on Twitter

The World of Defacers: Looking through the Lens of Their Activities on Twitter (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: 09252879.pdf
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type: Document

The World of Defacers: Looking through the Lens of Their Activities on Twitter (Other)
has part: indexcodes.txt
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The World of Defacers: Looking through the Lens of Their Activities on Twitter (Other)
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The World of Defacers: Looking through the Lens of Their Activities on Twitter (Other)
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The World of Defacers: Looking through the Lens of Their Activities on Twitter (Other)
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The World of Defacers: Looking through the Lens of Their Activities on Twitter (Other)
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The World of Defacers: Looking through the Lens of Their Activities on Twitter
abstract: Many web-based attacks have been studied to understand how web hackers behave, but web site defacement attacks (malicious content manipulations of victim web sites) and defacers’ behaviors have received less attention from researchers. This paper fills this research gap via a computational data-driven analysis of a public database of defacers and defacement attacks and activities of 96 selected defacers who were active on Twitter. We conducted a comprehensive analysis of the data: an analysis of a friendship graph with 10,360 nodes, an analysis on how sentiments of defacers related to attack patterns, and a topical modelling based analysis to study what defacers discussed publicly on Twitter. Our analysis revealed a number of key findings: a modular and hierarchical clustering method can help discover interesting sub-communities of defacers; sentiment analysis can help categorize behaviors of defacers in terms of attack patterns; and topic modelling revealed some focus topics (politics, country-specific topics, and technical discussions) among defacers on Twitter and also geographic links of defacers sharing similar topics. We believe that these findings are useful for a better understanding of defacers' behaviors, which could help design and development of better solutions for detecting defacers and even preventing impeding defacement attacks.
author list: authors
status: peerReviewed
status: published
volume: 8
has version: The World of Defacers: Looking through the Lens of Their Activities on Twitter (PDF)
creator: Çaǧri Burak Aslan
creator: Shujun Li
date: 2020-11-09
is part of: repository
subject: QA 75 Electronic computers. Computer science
subject: QA76.76.I59 Interactive media, hypermedia
subject: TK5105.875.I57 Internet
subject: TK5105.888 World Wide Web
has document: The World of Defacers: Looking through the Lens of Their Activities on Twitter (PDF)
has document: The World of Defacers: Looking through the Lens of Their Activities on Twitter (Other)
has published: The World of Defacers: Looking through the Lens of Their Activities on Twitter (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Fatih V. Çelebi
family name: Çelebi
given name: Fatih V.
type: Person

Çaǧri Burak Aslan
family name: Aslan
given name: Çaǧri Burak
type: Person

Hao Tian
family name: Tian
given name: Hao
type: Person

IEEE Access
type: Collection

HTML Summary of #85289 In-ear electrode EEG for practical SSVEP BCI
format: text/html
primary topic: In-ear electrode EEG for practical SSVEP BCI

In-ear electrode EEG for practical SSVEP BCI (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: technologies-08-00063-v2.pdf
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has file: technologies-08-00063-v2.pdf
has file: technologies-08-00063-v2.pdf_nocoversheet
type: Document

In-ear electrode EEG for practical SSVEP BCI (Other)
has part: indexcodes.txt
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type: Document

In-ear electrode EEG for practical SSVEP BCI (Other)
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In-ear electrode EEG for practical SSVEP BCI (Other)
has part: preview.jpg
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In-ear electrode EEG for practical SSVEP BCI (Other)
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In-ear electrode EEG for practical SSVEP BCI (Other)
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In-ear electrode EEG for practical SSVEP BCI
abstract: Steady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular due to higher information transfer rate and easier setup with minimal training, compared to alternative methods. With precisely generated visual stimulus frequency, it is possible to translate brain signals into external actions or signals. Traditionally, SSVEP data is collected from the occipital region using electrodes with or without gel, normally mounted on a head cap. In this experimental study, we develop an in-ear electrode to collect SSVEP data for four different flicker frequencies and compare against occipital scalp electrode data. Data from five participants demonstrates the feasibility of in-ear electrode based SSVEP, significantly enhancing the practicability of wearable BCI applications.
author list: authors
issue: 4
status: peerReviewed
status: published
volume: 8
has version: In-ear electrode EEG for practical SSVEP BCI (PDF)
creator: Emmanuel Molefi
creator: I. McLoughlin
creator: Ramaswamy Palaniappan
creator: Surej Mouli
date: 2020-11-05
is part of: repository
subject: QA 75 Electronic computers. Computer science
has document: In-ear electrode EEG for practical SSVEP BCI (PDF)
has document: In-ear electrode EEG for practical SSVEP BCI (Other)
has published: In-ear electrode EEG for practical SSVEP BCI (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

MDPI
type: Organization

Technologies
type: Collection

HTML Summary of #83975 MPLR 2020: Proceedings of the 17th International Conference on Managed Programming Languages and Runtimes
format: text/html
primary topic: MPLR 2020: Proceedings of the 17th International Conference on Managed Programming Languages and Runtimes

MPLR 2020: Proceedings of the 17th International Conference on Managed Programming Languages and Runtimes
EDT: Stefan Marr
editor list: editors
status: peerReviewed
status: published
date: 2020-11-04
is part of: repository
subject: QA 76 Software, computer programming,
type: Article
type: EPrint
type: EdbookEPrint

HTML Summary of #89476 When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter
format: text/html
primary topic: When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter

When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: SINCONF2020a.pdf
has part: SINCONF2020a.pdf_nocoversheet
has file: SINCONF2020a.pdf
has file: SINCONF2020a.pdf_nocoversheet
type: Document

When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter (Other)
has part: indexcodes.txt
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When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter (Other)
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When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter (Other)
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When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter (Other)
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When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter (Other)
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When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter
abstract: Collecting information about consumers and businesses from various sources, Credit reference agencies (CRAs) help many organizations such as financial institutions to assess creditworthiness of applicants and customers of their services. CRAs’ business model depends on processing a high volume of personal data including highly sensitive ones, which must be processed within the relevant legal frameworks in different countries they operate their business, e.g., the European Union’s new GDPR (General Data Protection Regulation). This paper reports a data-driven analysis of CRA- and GDPR-related discussions on Twitter. Our analysis covers the three largest multi-national CRAs: Equifax, Experian and TransUnion and we also looked at the UK’s data protection authority, ICO, and two UK-based privacy-advocating NGOs, Privacy International and Open Rights Group (ORG). We have analyzed public tweets of their official Twitter accounts and other public tweets talking about them. Our analysis revealed a very surprising lack of awareness of CRA- and GDPR-related data privacy issues within the general public and an astonishing lack of active communications of CRAs to the general public on relevant GDPR-related privacy issues: out of 39,549 collected tweets we identified only 153 relevant tweets (0.387%). This small number of tweets are dominated by mentions of security issues (%73.2), especially data breaches affecting CRAs, not data subject rights or privacy issues directly. Other tweets are mainly about complaints regarding inaccurate data in credit files and questions about how to exercise right to rectification, just two of many data subject rights defined in the GDPR.
author list: authors
status: peerReviewed
status: published
has version: When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter (PDF)
creator: Kübra Aydın
creator: Abdullah Bülbül
creator: Rahime Belen Sağlam
creator: Shujun Li
date: 2020-11-04
is part of: repository
subject: H Social Sciences (General)
subject: QA 75 Electronic computers. Computer science
subject: QA 76 Software, computer programming,
subject: TK5105.875.I57 Internet
subject: TK5105.888 World Wide Web
has accepted: When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter (PDF)
has document: When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter (PDF)
has document: When GDPR Meets CRAs (Credit Reference Agencies): Looking through the Lens of Twitter (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

13th International Conference on Security of Information and Networks (SINCONF 2020)
type: Conference
type: Event

Kübra Aydın
family name: Aydın
given name: Kübra
type: Person

Abdullah Bülbül
family name: Bülbül
given name: Abdullah
type: Person

HTML Summary of #89479 Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions
format: text/html
primary topic: Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions

Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: SINCONF2020b.pdf
has part: SINCONF2020b.pdf_nocoversheet
has file: SINCONF2020b.pdf
has file: SINCONF2020b.pdf_nocoversheet
type: Document

Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions (Other)
has part: indexcodes.txt
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Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions (Other)
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Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions (Other)
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Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions (Other)
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Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions (Other)
has part: small.jpg
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Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions
abstract: Since coming into effect in May 2018, the EU General Data Protection Regulation (GDPR) has raised serious concerns among users of public (permissionless) blockchain systems. Such concerns are triggered by a tension between some unique characteristics of public blockchain systems and some new data subject rights introduced in the GDPR, e.g., the data immutability and the “right to erasure” (a.k.a. “the right to be forgotten”). The aim of this work is to understand how service providers and developers behind public blockchain systems have communicated about such GDPR-related challenges to their users and how the users have perceived such GDPR-related issues. To this end, for 50 public blockchain systems whose corresponding cryptocurrency had a capital market size over $150 million, we analyzed relevant communications and discussions on the following three online channels: blog and forums posts, GitHub repositories, and discussions on Twitter. Our results show that service providers and developers of the selected public blockchain systems did not play an active role in GDPR-related online discussions on Twitter. They also did not communicate with their users about GDPR on their forums and blogs frequently, where we could identify only 56 posts out of 17,821 posts for the period we studied. Our study also reveals that only an extreme minority of the studied systems (4) mentioned GDPR in their GitHub repositories. Our work adds new evidence on the lack of transparency and active communications of the public blockchain sector on the challenging GDPR compliance issue of public blockchain systems.
author list: authors
status: peerReviewed
status: published
has version: Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions (PDF)
creator: Hacı Yakup Tetik
creator: Abdullah Bülbül
creator: Rahime Belen Sağlam
creator: Shujun Li
creator: Zeynep Chousein
date: 2020-11-04
is part of: repository
subject: H Social Sciences (General)
subject: QA 75 Electronic computers. Computer science
subject: QA 76 Software, computer programming,
subject: TK5105.875.I57 Internet
subject: TK5105.888 World Wide Web
has accepted: Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions (PDF)
has document: Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions (PDF)
has document: Tension between GDPR and Public Blockchains: A Data-Driven Analysis of Online Discussions (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

Hacı Yakup Tetik
family name: Tetik
given name: Hacı Yakup
type: Person

Abdullah Bülbül
family name: Bülbül
given name: Abdullah
type: Person

Zeynep Chousein
family name: Chousein
given name: Zeynep
type: Person

HTML Summary of #90817 The Virtual Knowledge Graph System Ontop
format: text/html
primary topic: The Virtual Knowledge Graph System Ontop

The Virtual Knowledge Graph System Ontop
abstract: Ontop is a popular open-source virtual knowledge graph system that can expose heterogeneous data sources as a unified knowledge graph. Ontop has been widely used in a variety of research and industrial projects. In this paper, we describe the challenges, design choices, new features of the latest release of Ontop v4, summarizing the development efforts of the last 4 years.
author list: authors
status: peerReviewed
status: published
volume: 12507
creator: Elena Botoeva
date: 2020-11-02
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part II
type: Conference
type: Event

Athens, Greece
type: SpatialThing

Elem G\"zel Kalayci
family name: Kalayci
given name: Elem G\"zel
type: Person

Julien Corman
family name: Corman
given name: Julien
type: Person

Sarah Komla-Ebri
family name: Komla-Ebri
given name: Sarah
type: Person

Diego Calvanese
family name: Calvanese
given name: Diego
type: Person

Guohui Xiao
family name: Xiao
given name: Guohui
type: Person

Davide Lanti
family name: Lanti
given name: Davide
type: Person

Benjamin Cogrel
family name: Cogrel
given name: Benjamin
type: Person

Linfang Ding
family name: Ding
given name: Linfang
type: Person

Roman Kontchakov
family name: Kontchakov
given name: Roman
type: Person

HTML Summary of #90402 Human action recognition using deep rule-based classifier
format: text/html
primary topic: Human action recognition using deep rule-based classifier

Human action recognition using deep rule-based classifier
abstract: In recent years, numerous techniques have been proposed for human activity recognition (HAR) from images and videos. These techniques can be divided into two major categories: handcrafted and deep learning. Deep Learning-based models have produced remarkable results for HAR. However, these models have several shortcomings, such as the requirement for a massive amount of training data, lack of transparency, offline nature, and poor interpretability of their internal parameters. In this paper, a new approach for HAR is proposed, which consists of an interpretable, self-evolving, and self-organizing set of 0-order If...THEN rules. This approach is entirely data-driven, and non-parametric; thus, prototypes are identified automatically during the training process. To demonstrate the effectiveness of the proposed method, a set of high-level features is obtained using a pre-trained deep convolution neural network model, and a recently introduced deep rule-based classifier is applied for classification. Experiments are performed on a challenging benchmark dataset UCF50; results confirmed that the proposed approach outperforms state-of-the-art methods. In addition to this, an ablation study is conducted to demonstrate the efficacy of the proposed approach by comparing the performance of our DRB classifier with four state-of-the-art classifiers. This analysis revealed that the DRB classifier could perform better than state-of-the-art classifiers, even with limited training samples.
author list: authors
issue: 41-42
status: peerReviewed
status: published
volume: 79
creator: Xiaowei Gu
date: 2020-11-01
is part of: repository
is part of: Multimedia Tools and Applications
subject: QA 76 Software, computer programming,
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Plamen Angelov
family name: Angelov
given name: Plamen
type: Person

Allah Bux Sargano
family name: Sargano
given name: Allah Bux
type: Person

Zulfiqar Habib
family name: Habib
given name: Zulfiqar
type: Person

Multimedia Tools and Applications
issn: 13807501
type: Collection

HTML Summary of #87484 Robust Communications in Erlang
format: text/html
primary topic: Robust Communications in Erlang

Robust Communications in Erlang (PDF)
license: http://creativecommons.org/licenses/by-sa/3.0/
has part: 160Robust_Communications_in_Erlang_by_Joseph_Richard_Harrison.pdf
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type: Document

Robust Communications in Erlang (Other)
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Robust Communications in Erlang (Other)
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Robust Communications in Erlang (Other)
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Robust Communications in Erlang (Other)
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Robust Communications in Erlang (Other)
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Robust Communications in Erlang
THS: Meng Wang
THS: Simon Thompson
abstract: Erlang is a dynamically-typed functional and concurrent programming language lauded by its proponents for its relatively simple syntax, process isolation, and fault tolerance. The functional aspect has rich features like pattern matching and tail-call optimisation, while the concurrent aspect uses isolated processes and asynchronous message passing to share state between system components. The two meet with pattern matching on mailboxes, which allows for a process to pick a message from its mailbox - potentially out of order - based on its structure, value, type, or a mixture thereof. A strongly and dynamically typed language like Erlang can experience many kinds of runtime errors, such as ill-typed operands to arithmetic operators. The interaction between Erlang's type system and process mailboxes can lead to a more subtle runtime error which is harder to detect: orphan messages. As the types of messages are not checked either at compile time or runtime, a process can be sent a message which it will never receive. Essentially, non-trivial type discrepancies in Erlang programs can cause subtle bugs when communication is involved. These problems can be hard to detect and fix, with current solutions such as extensive testing and exhaustive model checking. This thesis reports on work to detect communication-related type discrepancies in Erlang programs. A fragment of the Core Erlang intermediate format is modelled formally so that we can reason about the out-of-order communication in Erlang systems, particularly the dependencies between sent messages when determining whether orphan messages exist. Afterwards, a sub-typing relation based on Erlang's type system is introduced to clearly define the notion of an orphan message, forming the foundation of a system for automatic detection via a mix of static analysis and runtime verification. This culminates in automatic tooling to detect certain cases of communication discrepancies via static analysis, and automatic instrume…
author list: authors
degree: phd
status: published
creator: Joseph Richard Harrison
date: 2020-11
is part of: repository
has document: Robust Communications in Erlang (PDF)
has document: Robust Communications in Erlang (Other)
type: Article
type: Thesis
type: EPrint
type: ThesisEPrint

Joseph Richard Harrison
family name: Harrison
given name: Joseph Richard
type: Person

Meng Wang
family name: Wang
given name: Meng
type: Person

HTML Summary of #91361 Modelling Multiple Language Learning in a Developmental Cognitive Architecture
format: text/html
primary topic: Modelling Multiple Language Learning in a Developmental Cognitive Architecture

Modelling Multiple Language Learning in a Developmental Cognitive Architecture
abstract: In this work, we model multiple natural language learning in a developmental neuroscience-inspired architecture. The ANNABELL model (Artificial Neural Network with Adaptive Behaviour Exploited for Language Learning), is a large-scale neural network, however, unlike most deep learning methods that solve natural language processing (NLP) tasks, it does not represent an empirical engineering solution for specific NLP problems; rather, its organisation complies with findings from cognitive neuroscience, particularly the multi-compartment working memory models. The system is appropriately trained to understand the level of cognitive development required for language acquisition and the robustness achieved in learning simultaneously four languages, using a corpus of text-based exchanges of developmental complexity. The selected languages, Greek, Italian and Albanian, besides English, differ significantly in structure and complexity. Initially, the system was validated in each language alone and was then compared with the open-ended cumulative training, in which languages are learned jointly, prior to querying with random language at random order. We aimed to assess if the model could learn the languages together to the same degree of skill as learning each apart. Moreover, we explored the generalisation skill in multilingual context questions and the ability to elaborate a short text of preschool literature. We verified if the system could follow a dialogue coherently and cohesively, keeping track of its previous answers and recalling them in subsequent queries. The results show that the architecture developed broad language processing functionalities, with satisfactory performances in each language trained singularly, maintaining high accuracies when they are acquired cumulatively.
author list: authors
status: peerReviewed
status: published
creator: Giovanni Masala
date: 2020-10-27
is part of: repository
is part of: IEEE Transactions on Cognitive and Developmental Systems
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

M. Esposito
family name: Esposito
given name: M.
type: Person

B. Golosio
family name: Golosio
given name: B.
type: Person

A. Cangelosi
family name: Cangelosi
given name: A.
type: Person

I. Giorgi
family name: Giorgi
given name: I.
type: Person

IEEE Transactions on Cognitive and Developmental Systems
issn: 23798920
type: Collection

HTML Summary of #83710 Efficient Static Analysis of Marlowe Contracts
format: text/html
primary topic: Efficient Static Analysis of Marlowe Contracts

Efficient Static Analysis of Marlowe Contracts (PDF)
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Efficient Static Analysis of Marlowe Contracts (Other)
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Efficient Static Analysis of Marlowe Contracts (Other)
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Efficient Static Analysis of Marlowe Contracts (Other)
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Efficient Static Analysis of Marlowe Contracts (Other)
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Efficient Static Analysis of Marlowe Contracts (Other)
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Efficient Static Analysis of Marlowe Contracts
abstract: SMT solvers can verify properties automatically and efficiently, and they offer increasing flexibility on the ways those properties can be described. But it is hard to predict how those ways of describing the properties affect the computational cost of verifying them. In this paper, we discuss what we learned while implementing and optimising the static analysis for Marlowe, a domain specific language for self-enforcing financial smart-contracts that can be deployed on a blockchain.
author list: authors
editor list: editors
status: peerReviewed
status: published
has version: Efficient Static Analysis of Marlowe Contracts (PDF)
creator: Simon Thompson
date: 2020-10-26
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA76.76 Computer software
has accepted: Efficient Static Analysis of Marlowe Contracts (PDF)
has document: Efficient Static Analysis of Marlowe Contracts (PDF)
has document: Efficient Static Analysis of Marlowe Contracts (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

Bernhard Steffen
family name: Steffen
given name: Bernhard
type: Person

Pablo Lamela Seijas
family name: Lamela Seijas
given name: Pablo
type: Person

Tiziana Margaria
family name: Margaria
given name: Tiziana
type: Person

David Smith
family name: Smith
given name: David
type: Person

HTML Summary of #85600 Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech
format: text/html
primary topic: Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech

Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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type: Document

Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech (Other)
has part: indexcodes.txt
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is index codes version of: Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech (PDF)
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Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech (Other)
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Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech (Other)
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Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech (Other)
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Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech (Other)
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Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech
abstract: Comprehension of degraded speech requires higher-order expectations informed by prior knowledge. Accurate top-down expectations of incoming degraded speech cause a subjective semantic ‘pop-out’ or conscious breakthrough experience. Indeed, the same stimulus can be perceived as meaningless when no expectations are made in advance. We investigated the event-related potential (ERP) correlates of these top-down expectations, their error signals and the subjective pop-out experience in healthy participants. We manipulated expectations in a word-pair priming degraded (noise-vocoded) speech task and investigated the role of top-down expectation with a between-groups attention manipulation. Consistent with the role of expectations in comprehension, repetition priming significantly enhanced perceptual intelligibility of the noisevocoded degraded targets for attentive participants. An early ERP was larger for mismatched (i.e. unexpected) targets than matched targets, indicative of an initial error signal not reliant on top-down expectations. Subsequently, a P3a-like ERP was larger to matched targets than mismatched targets only for attending participants—i.e. a pop-out effect—while a later ERP was larger for mismatched targets and did not significantly interact with attention. Rather than relying on complex post hoc interactions between prediction error and precision to explain this apredictive pattern, we consider our data to be consistent with prediction error minimization accounts for early stages of processing followed by Global Neuronal Workspace-like breakthrough and processing in service of task goals.
author list: authors
issue: 1
status: peerReviewed
status: published
volume: 2020
has version: Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech (PDF)
creator: Howard Bowman
date: 2020-10-25
is part of: repository
subject: RC321 Neuroscience. Biological psychiatry. Neuropsychiatry
has document: Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech (PDF)
has document: Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech (Other)
has published: Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Damian Cruse
family name: Cruse
given name: Damian
type: Person

Rodika Sokoliuk
family name: Sokoliuk
given name: Rodika
type: Person

Conor J. Wild
family name: Wild
given name: Conor J.
type: Person

Leah Banellis
family name: Banellis
given name: Leah
type: Person

Neuroscience of Consciousness
type: Collection

HTML Summary of #81140 #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives
format: text/html
primary topic: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives

#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (PDF)
has part: IEEE-EuroSP-2020-WACCO-Extremism.pdf
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type: Document

#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (Other)
is index codes version of: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (PDF)
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#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (Other)
is version of: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (PDF)
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#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (Other)
is version of: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (PDF)
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#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (Other)
is version of: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (PDF)
is volatile version of: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (PDF)
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#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (Other)
is version of: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (PDF)
is volatile version of: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (PDF)
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#ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives
abstract: The rapid expansion of cyberspace has greatly facilitated the strategic shift of traditional crimes to online platforms. This has included malicious actors, such as extremist organisations, making use of online networks to disseminate propaganda and incite violence through radicalising individuals. In this article, we seek to advance current research by exploring how supporters of extremist organisations craft and disseminate their content, and how posts from counter-extremism agencies compare to them. In particular, this study will apply computational techniques to analyse the narratives of various pro-extremist and counter-extremist Twitter accounts, and investigate how the psychological motivation behind the messages compares between pro-ISIS and counter-extremism narratives. Our findings show that pro-extremist accounts often use different strategies to disseminate content (such as the types of hashtags used) when compared to counter-extremist accounts across different types of organisations, including accounts of governments and NGOs. Through this study, we provide unique insights into both extremist and counter-extremist narratives on social media platforms. Furthermore, we define several avenues for discussion regarding the extent to which counter-messaging may be effective at diminishing the online influence of extremist and other criminal organisations.
author list: authors
status: peerReviewed
status: published
has version: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (PDF)
creator: Jason R. C. Nurse
date: 2020-10-22
is part of: repository
subject: H Social Sciences
subject: J Political Science
subject: QA 76 Software, computer programming,
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (PDF)
has document: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (PDF)
has document: #ISIS vs #ActionCountersTerrorism: A Computational Analysis of Extremist and Counter-extremist Twitter Narratives (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

J Political Science
type: Concept

2nd Workshop on Attackers and Cyber-Crime Operations (WACCO), at the IEEE European Symposium on Security and Privacy (Euro S&P)
type: Conference
type: Event

Genoa, Italy
type: SpatialThing

Fatima Zahrah
family name: Zahrah
given name: Fatima
type: Person

Michael Goldsmith
family name: Goldsmith
given name: Michael
type: Person

HTML Summary of #83681 Irrationally Annoyed: The SIGPLAN Blog Post writing 30 Years of PL Research Out of Existence
format: text/html
primary topic: Irrationally Annoyed: The SIGPLAN Blog Post writing 30 Years of PL Research Out of Existence

Irrationally Annoyed: The SIGPLAN Blog Post writing 30 Years of PL Research Out of Existence
author list: authors
status: published
creator: Stefan Marr
date: 2020-10-19
is part of: repository
subject: QA 76 Software, computer programming,
type: Article
type: EPrint
type: InternetEPrint

HTML Summary of #82582 A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19
format: text/html
primary topic: A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19 (PDF)
has part: FINAL VERSION.pdf
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type: Document

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19 (Other)
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A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19 (Other)
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A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19 (Other)
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A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19 (Other)
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A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19 (Other)
is version of: A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19 (PDF)
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A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19
abstract: Epidemic models play a key role in understanding and responding to the emerging COVID-19 pandemic. Widely used compartmental models are static and are of limited use to evaluate intervention strategies of combatting the pandemic. Applying the technology of data assimilation, we propose a Bayesian updating approach for estimating epidemiological parameters using observable information to assess the impacts of different intervention strategies. We adopt a concise renewal model and propose new parameters by disentangling the reduction of instantaneous reproduction number R_t into mitigation and suppression factors to quantify intervention impacts at a finer granularity. A data assimilation framework is developed to estimate these parameters including constructing an observation function and developing a Bayesian updating scheme. A statistical analysis framework is built to quantify the impacts of intervention strategies by monitoring the evolution of the estimated parameters. We reveal the intervention impacts in European countries and Wuhan and the resurgence risk in the United States.
author list: authors
issue: 4
status: peerReviewed
status: published
volume: 15
has version: A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19 (PDF)
creator: Ling Li
date: 2020-10-15
is part of: repository
is part of: IEEE Computational Intelligence Magazine
subject: Q335 Artificial intelligence
has accepted: A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19 (PDF)
has document: A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19 (PDF)
has document: A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19 (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Xian Yang
family name: Yang
given name: Xian
type: Person

Shuo Wang
family name: Wang
given name: Shuo
type: Person

Yuan Huang
family name: Huang
given name: Yuan
type: Person

Philip Nadler
family name: Nadler
given name: Philip
type: Person

Zhongzhao Teng
family name: Teng
given name: Zhongzhao
type: Person

Rossella Arcucci
family name: Arcucci
given name: Rossella
type: Person

Yike Guo
family name: Guo
given name: Yike
type: Person

IEEE Computational Intelligence Magazine
issn: 1556603X
type: Collection

HTML Summary of #84754 An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers
format: text/html
primary topic: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers

An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
has part: BRACIS-2020-Cagnini.pdf
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type: Document

An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (Other)
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An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (Other)
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is volatile version of: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
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type: Document

An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (Other)
is version of: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
is volatile version of: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
ispreview thumbnail version of: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
type: Document

An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (Other)
is version of: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
is volatile version of: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
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type: Document

An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (Other)
is version of: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
is volatile version of: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
issmall thumbnail version of: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
type: Document

An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers
abstract: Ensembles of classifiers are a very popular type of method for performing classification, due to their usually high predictive accuracy. However, ensembles have two drawbacks. First, ensembles are usually considered a ‘black box’, non-interpretable type of classification model, mainly because typically there are a very large number of classifiers in the ensemble (and often each classifier in the ensemble is a black-box classifier by itself). This lack of interpretability is an important limitation in application domains where a model’s predictions should be carefully interpreted by users, like medicine, law, etc. Second, ensemble methods typically involve many hyper-parameters, and it is difficult for users to select the best settings for those hyper-parameters. In this work we propose an Evolutionary Algorithm (an Estimation of Distribution Algorithm) that addresses both these drawbacks. This algorithm optimizes the hyper-parameter settings of a small ensemble of 5 interpretable classifiers, which allows users to interpret each classifier. In our experiments, the ensembles learned by the proposed Evolutionary Algorithm achieved the same level of predictive accuracy as a well-known Random Forest ensemble, but with the benefit of learning interpretable models (unlike Random Forests).
author list: authors
editor list: editors
status: peerReviewed
status: published
volume: 12319
has version: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
creator: Alex A. Freitas
date: 2020-10-13
is part of: repository
subject: QA 76 Software, computer programming,
has accepted: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
has document: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (PDF)
has document: An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

Ronaldo C. Prati
family name: Prati
given name: Ronaldo C.
type: Person

Rodrigo C. Barros
family name: Barros
given name: Rodrigo C.
type: Person

Ricardo Cerri
family name: Cerri
given name: Ricardo
type: Person

Henry E. L. Cagnini
family name: Cagnini
given name: Henry E. L.
type: Person

HTML Summary of #84210 A systematic framework for categorising IoT device fingerprinting mechanisms
format: text/html
primary topic: A systematic framework for categorising IoT device fingerprinting mechanisms

A systematic framework for categorising IoT device fingerprinting mechanisms (PDF)
type: Document

A systematic framework for categorising IoT device fingerprinting mechanisms (Other)
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A systematic framework for categorising IoT device fingerprinting mechanisms (Other)
is version of: A systematic framework for categorising IoT device fingerprinting mechanisms (PDF)
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type: Document

A systematic framework for categorising IoT device fingerprinting mechanisms (Other)
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is volatile version of: A systematic framework for categorising IoT device fingerprinting mechanisms (PDF)
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type: Document

A systematic framework for categorising IoT device fingerprinting mechanisms (Other)
is version of: A systematic framework for categorising IoT device fingerprinting mechanisms (PDF)
is volatile version of: A systematic framework for categorising IoT device fingerprinting mechanisms (PDF)
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type: Document

A systematic framework for categorising IoT device fingerprinting mechanisms (Other)
is version of: A systematic framework for categorising IoT device fingerprinting mechanisms (PDF)
is volatile version of: A systematic framework for categorising IoT device fingerprinting mechanisms (PDF)
issmall thumbnail version of: A systematic framework for categorising IoT device fingerprinting mechanisms (PDF)
type: Document

A systematic framework for categorising IoT device fingerprinting mechanisms
abstract: The popularity of the Internet of Things (IoT) devices makes it increasingly important to be able to fingerprint them, for example in order to detect if there are misbehaving or even malicious IoT devices in one’s network. However, there are many challenges faced in the task of fingerprinting IoT devices, mainly due to the huge variety of the devices involved. At the same time, the task can potentially be improved by applying machine learning techniques for better accuracy and efficiency. The aim of this paper is to provide a systematic categorisation of machine learning augmented techniques that can be used for fingerprinting IoT devices. This can serve as a baseline for comparing various IoT fingerprinting mechanisms, so that network administrators can choose one or more mechanisms that are appropriate for monitoring and maintaining their network. We carried out an extensive literature review of existing papers on fingerprinting IoT devices – paying close attention to those with machine learning features. This is followed by an extraction of important and comparable features among the mechanisms outlined in those papers. As a result, we came up with a key set of terminologies that are relevant both in the fingerprinting context and in the IoT domain. This enabled us to construct a framework called IDWork, which can be used for categorising existing IoT fingerprinting mechanisms in a way that will facilitate a coherent and fair comparison of these mechanisms. We found that the majority of the IoT fingerprinting mechanisms take a passive approach – mainly through network sniffing – instead of being intrusive and interactive with the device of interest. Additionally, a significant number of the surveyed mechanisms employ both static and dynamic approaches, in order to benefit from complementary features that can be more robust against certain attacks such as spoofing and replay attacks.
author list: authors
status: forthcoming
status: peerReviewed
has version: A systematic framework for categorising IoT device fingerprinting mechanisms (PDF)
creator: Budi Arief
date: 2020-10-10
is part of: repository
subject: QA 76 Software, computer programming,
has document: A systematic framework for categorising IoT device fingerprinting mechanisms (PDF)
has document: A systematic framework for categorising IoT device fingerprinting mechanisms (Other)
has published: A systematic framework for categorising IoT device fingerprinting mechanisms (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2nd Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT 2020)
type: Conference
type: Event

online
type: SpatialThing

Angelo Feraudo
family name: Feraudo
given name: Angelo
type: Person

Siamak F. Shahandashti
family name: Shahandashti
given name: Siamak F.
type: Person

Vassilios G. Vassilakis
family name: Vassilakis
given name: Vassilios G.
type: Person

Poonam Yadav
family name: Yadav
given name: Poonam
type: Person

HTML Summary of #83566 Incentive value and spatial certainty combine additively to determine visual priorities
format: text/html
primary topic: Incentive value and spatial certainty combine additively to determine visual priorities

Incentive value and spatial certainty combine additively to determine visual priorities (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Garner_Incentive_Value_And_Spatial_Certainty_2020.pdf
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has file: Garner_Incentive_Value_And_Spatial_Certainty_2020.pdf_nocoversheet
type: Document

Incentive value and spatial certainty combine additively to determine visual priorities (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Incentive value and spatial certainty combine additively to determine visual priorities (PDF)
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type: Document

Incentive value and spatial certainty combine additively to determine visual priorities (Other)
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type: Document

Incentive value and spatial certainty combine additively to determine visual priorities (Other)
has part: preview.jpg
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is volatile version of: Incentive value and spatial certainty combine additively to determine visual priorities (PDF)
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type: Document

Incentive value and spatial certainty combine additively to determine visual priorities (Other)
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is volatile version of: Incentive value and spatial certainty combine additively to determine visual priorities (PDF)
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Incentive value and spatial certainty combine additively to determine visual priorities (Other)
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type: Document

Incentive value and spatial certainty combine additively to determine visual priorities
abstract: How does the brain combine information predictive of the value of a visually guided task (incentive value) with information predictive of where task-relevant stimuli may occur (spatial certainty)? Human behavioural evidence indicates that these two predictions may be combined additively to bias visual selection (Additive Hypothesis), whereas neuroeconomic studies posit that they may be multiplicatively combined (Expected Value Hypothesis). We sought to adjudicate between these two alternatives. Participants viewed two coloured placeholders that specified the potential value of correctly identifying an imminent letter target if it appeared in that placeholder. Then, prior to the target’s presentation, an endogenous spatial cue was presented indicating the target’s more likely location. Spatial cues were parametricallymanipulated with regard to the information gained (in bits). Across two experiments, performance was better for targets appearing in high versus low value placeholders and better when targets appeared in validly cued locations. Interestingly, as shown with a Bayesian model selection approach, these effects did not interact, clearly supporting the Additive Hypothesis. Even when conditions were adjusted to increase the optimality of a multiplicative operation, support for it remained. These findings refute recent theories that expected value computations are the singular mechanism driving the deployment of endogenous spatial attention. Instead, incentive value and spatial certainty seem to act independently to influence visual selection.
author list: authors
status: peerReviewed
status: published
has version: Incentive value and spatial certainty combine additively to determine visual priorities (PDF)
creator: Howard Bowman
date: 2020-10-09
is part of: repository
is part of: Attention, Perception, & Psychophysics
subject: BF Psychology
subject: RC321 Neuroscience. Biological psychiatry. Neuropsychiatry
has document: Incentive value and spatial certainty combine additively to determine visual priorities (PDF)
has document: Incentive value and spatial certainty combine additively to determine visual priorities (Other)
has published: Incentive value and spatial certainty combine additively to determine visual priorities (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Jane Raymond
family name: Raymond
given name: Jane
type: Person

Kelly Garner
family name: Garner
given name: Kelly
type: Person

Attention, Perception, & Psychophysics
issn: 19433921
type: Collection

HTML Summary of #84690 Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing
format: text/html
primary topic: Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing

Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: ENEURO.0229-20.2020.full.pdf
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Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing (Other)
has part: indexcodes.txt
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type: Document

Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing (Other)
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Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing (Other)
has part: preview.jpg
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is volatile version of: Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing (PDF)
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Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing (Other)
has part: medium.jpg
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Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing (Other)
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type: Document

Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing
abstract: Perception is facilitated by a hierarchy of expectations generated from context and prior knowledge. In auditory processing, violations of local (within-trial) expectations elicit a mismatch negativity (MMN), while violations of global (across-trial) expectations elicit a later positive component (P300). This result is taken as evidence of prediction errors ascending through the expectation hierarchy. However, in language comprehension, there is no evidence that violations of semantic expectations across local-global levels similarly elicit a sequence of hierarchical error signals, thus drawing into question the putative link between event-related potentials (ERPs) and prediction errors. We investigated the neural basis of such hierarchical expectations of semantics in a word-pair priming paradigm. By manipulating the overall proportion of related or unrelated word-pairs across the task, we created two global contexts that differentially encouraged strategic use of primes. Across two experiments, we replicated behavioral evidence of greater priming in the high validity context, reflecting strategic expectations of upcoming targets based on “global” context. In our preregistered EEG analyses, we observed a “local” prediction error ERP effect (i.e., semantic priming) ∼250 ms post-target, which, in exploratory analyses, was followed 100 ms later by a signal that interacted with the global context. However, the later effect behaved in an apredictive manner, i.e., was most extreme for fulfilled expectations, rather than violations. Our results are consistent with interpretations of early ERPs as reflections of prediction error and later ERPs as processes related to conscious access and in support of task demands.
author list: authors
issue: 5
status: peerReviewed
status: published
volume: 7
has version: Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing (PDF)
creator: Howard Bowman
date: 2020-10-06
is part of: repository
is part of: eNeuro
subject: Q Science
has document: Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing (PDF)
has document: Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing (Other)
has published: Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural Processing (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Society for Neuroscience
type: Organization

Damian Cruse
family name: Cruse
given name: Damian
type: Person

Rodika Sokoliuk
family name: Sokoliuk
given name: Rodika
type: Person

Consuelo Vidal-Gran
family name: Vidal-Gran
given name: Consuelo
type: Person

eNeuro
issn: 23732822
type: Collection

HTML Summary of #83761 Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition
format: text/html
primary topic: Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition

Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (PDF)
has part: MobileHCI20.pdf
has part: MobileHCI20.pdf_nocoversheet
has file: MobileHCI20.pdf
has file: MobileHCI20.pdf_nocoversheet
type: Document

Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (PDF)
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type: Document

Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (Other)
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type: Document

Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (Other)
has part: preview.jpg
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is version of: Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (PDF)
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Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (Other)
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ismedium thumbnail version of: Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (PDF)
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Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (Other)
has part: small.jpg
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is version of: Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (PDF)
is volatile version of: Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (PDF)
issmall thumbnail version of: Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (PDF)
type: Document

Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition
abstract: Abstract–Moving in a complex and changing environment (rapid expansion of cities, creation of new transport lines, etc.) requires more and more capacity for path determination and following. This paper presents a protocol of a user study under progress. Its aim is to compare an application on AR Glasses and Smartphone to help pedestrians to memorize path following recommended landmarks.
author list: authors
status: peerReviewed
status: published
has version: Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (PDF)
creator: Aymen Lakehal
creator: C. Efstratiou
creator: Kolski Christophe
creator: Pavlos Nicolaou
creator: Sophie Lepreux
date: 2020-10-05
is part of: repository
subject: QA 75 Electronic computers. Computer science
subject: QA76.9.H85 Human computer interaction
has accepted: Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (PDF)
has document: Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (PDF)
has document: Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

22nd International Conference on Human- Computer Interaction with Mobile Devices and Services (MobileHCI'20)
type: Conference
type: Event

Oldenburg, Germany
type: SpatialThing

Aymen Lakehal
family name: Lakehal
given name: Aymen
type: Person

Kolski Christophe
family name: Christophe
given name: Kolski
type: Person

Pavlos Nicolaou
family name: Nicolaou
given name: Pavlos
type: Person

Sophie Lepreux
family name: Lepreux
given name: Sophie
type: Person

HTML Summary of #90181 A self-training hierarchical prototype-based approach for semi-supervised classification
format: text/html
primary topic: A self-training hierarchical prototype-based approach for semi-supervised classification

A self-training hierarchical prototype-based approach for semi-supervised classification
abstract: This paper introduces a novel self-training hierarchical prototype-based approach for semi-supervised classification. The proposed approach firstly identifies meaningful prototypes from labelled samples at multiple levels of granularity and, then, self-organizes a highly transparent, multi-layered recognition model by arranging them in a form of pyramidal hierarchies. After this, the learning model continues to self-evolve its structure and self-expand its knowledge base to incorporate new patterns recognized from unlabelled samples by exploiting the pseudo-label technique. Thanks to its prototype-based nature, the overall computational process of the proposed approach is highly explainable and traceable. Experimental studies with various benchmark image recognition problems demonstrate the state-of-the-art performance of the proposed approach, showing its strong capability to mine key information from unlabelled data for classification.
author list: authors
status: peerReviewed
status: published
volume: 535
creator: Xiaowei Gu
date: 2020-10-01
is part of: repository
is part of: Information Sciences
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

HTML Summary of #81314 DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset
format: text/html
primary topic: DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset

DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (PDF)
type: Document

DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (Other)
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type: Document

DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (Other)
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ispreview thumbnail version of: DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (PDF)
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DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (Other)
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type: Document

DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (Other)
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DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (Other)
has part: indexcodes.txt
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is volatile version of: DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (PDF)
type: Document

DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (Other)
has part: indexcodes.txt
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DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (Other)
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DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (Other)
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ispreview thumbnail version of: DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (PDF)
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DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (Other)
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is version of: DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (PDF)
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DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (Other)
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issmall thumbnail version of: DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (PDF)
type: Document

DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset
abstract: A fully customisable chip-on board (COB) LED design to evoke two brain responses simultaneously (steady state visual evoked potential (SSVEP) and transient evoked potential, P300) is discussed in this paper. Considering different possible modalities in brain-computer interfacing (BCI), SSVEP is widely accepted as it requires a lesser number of electroencephalogram (EEG) electrodes and minimal training time. The aim of this work was to produce a hybrid BCI hardware platform to evoke SSVEP and P300 precisely with reduced fatigue and improved classification performance. The system comprises of four independent radial green visual stimuli controlled individually by a 32-bit microcontroller platform to evoke SSVEP and four red LEDs flashing at random intervals to generate P300 events. The system can also record the P300 event timestamps that can be used in classification, to improve the accuracy and reliability. The hybrid stimulus was tested for real-time classification accuracy by controlling a LEGO robot to move in four directions.
author list: authors
status: peerReviewed
status: published
volume: 8
has version: DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (PDF)
creator: Ramaswamy Palaniappan
creator: Surej Mouli
date: 2020-10-01
is part of: repository
is part of: HardwareX
subject: QA 75 Electronic computers. Computer science
subject: QA76.9.H85 Human computer interaction
subject: TK7885 Computer engineering. Computer hardware
has accepted: DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (PDF)
has document: DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (PDF)
has document: DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (Other)
has published: DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

HardwareX
issn: 24680672
type: Collection

HTML Summary of #83340 Adapting random forests to cope with heavily censored datasets in survival analysis
format: text/html
primary topic: Adapting random forests to cope with heavily censored datasets in survival analysis

Adapting random forests to cope with heavily censored datasets in survival analysis (PDF)
has part: ESANN-2020-Pomsuwan.pdf
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type: Document

Adapting random forests to cope with heavily censored datasets in survival analysis (Other)
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Adapting random forests to cope with heavily censored datasets in survival analysis (Other)
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Adapting random forests to cope with heavily censored datasets in survival analysis (Other)
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is volatile version of: Adapting random forests to cope with heavily censored datasets in survival analysis (PDF)
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type: Document

Adapting random forests to cope with heavily censored datasets in survival analysis (Other)
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Adapting random forests to cope with heavily censored datasets in survival analysis (Other)
has part: small.jpg
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type: Document

Adapting random forests to cope with heavily censored datasets in survival analysis
abstract: We address a survival analysis task where the goal is to predict the time passed until a subject is diagnosed with an age-related disease. The main challenge is that subjects’ data are very often censored, i.e., their time to diagnosis is only partly known. We propose a new Random Forest variant to cope with censored data, and evaluate it in experiments predicting the time to diagnosis of 8 age-related diseases, for data from the English Longitudinal Study of Ageing (ELSA) database. In these experiments, the proposed Random Forest variant, in general, outperformed a well-known Random Forest variant for censored data.
author list: authors
status: peerReviewed
status: published
has version: Adapting random forests to cope with heavily censored datasets in survival analysis (PDF)
creator: Alex A. Freitas
creator: Tossapol Pomsuwan
date: 2020-10
is part of: repository
subject: Q335 Artificial intelligence
has accepted: Adapting random forests to cope with heavily censored datasets in survival analysis (PDF)
has document: Adapting random forests to cope with heavily censored datasets in survival analysis (PDF)
has document: Adapting random forests to cope with heavily censored datasets in survival analysis (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2020 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020)
type: Conference
type: Event

Bruges, Belgium
type: SpatialThing

dblp
type: Organization

Tossapol Pomsuwan
family name: Pomsuwan
given name: Tossapol
type: Person

HTML Summary of #91413 Deep feature embedding and hierarchical classification for audio scene classification
format: text/html
primary topic: Deep feature embedding and hierarchical classification for audio scene classification

Deep feature embedding and hierarchical classification for audio scene classification
abstract: In this work, we propose an approach that features deep feature embedding learning and hierarchical classification with triplet loss function for Acoustic Scene Classification (ASC). In the one hand, a deep convolutional neural network is firstly trained to learn a feature embedding from scene audio signals. Via the trained convolutional neural network, the learned embedding embeds an input into the embedding feature space and transforms it into a high-level feature vector for representation. In the other hand, in order to exploit the structure of the scene categories, the original scene classification problem is structured into a hierarchy where similar categories are grouped into meta-categories. Then, hierarchical classification is accomplished using deep neural network classifiers associated with triplet loss function. Our experiments show that the proposed system achieves good performance on both the DCASE 2018 Task 1A and 1B datasets, resulting in accuracy gains of 15.6% and 16.6% absolute over the DCASE 2018 baseline on Task 1A and 1B, respectively.
author list: authors
status: peerReviewed
status: published
creator: I. McLoughlin
creator: Lam Dang Pham
creator: Ramaswamy Palaniappan
date: 2020-09-28
is part of: repository
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2020 International Joint Conference on Neural Networks (IJCNN)
type: Conference
type: Event

Glasgow, UK
type: SpatialThing

Alfred Mertins
family name: Mertins
given name: Alfred
type: Person

HTML Summary of #83104 On Resolving Non-determinism in Choreographies
format: text/html
primary topic: On Resolving Non-determinism in Choreographies

On Resolving Non-determinism in Choreographies (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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type: Document

On Resolving Non-determinism in Choreographies (Other)
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On Resolving Non-determinism in Choreographies (Other)
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On Resolving Non-determinism in Choreographies (Other)
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On Resolving Non-determinism in Choreographies (Other)
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On Resolving Non-determinism in Choreographies (Other)
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type: Document

On Resolving Non-determinism in Choreographies
abstract: Choreographies specify multiparty interactions via message passing. A realisation of a choreography is a composition of independent processes that behave as specified by the choreography. Existing relations of correctness/completeness between choreographies and realisations are based on models where choices are non-deterministic. Resolving non-deterministic choices into deterministic choices (e.g., conditional statements) is necessary to correctly characterise the relationship between choreographies and their implementations with concrete programming languages. We introduce a notion of realisability for choreographies - called whole-spectrum implementation - where choices are still non-deterministic in choreographies, but are deterministic in their implementations. Our notion of whole spectrum implementation rules out deterministic implementations of roles that, no matter which context they are placed in, will never follow one of the branches of a non-deterministic choice. We give a type discipline for checking whole-spectrum implementations. As a case study, we analyse the POP protocol under the lens of whole-spectrum implementation.
author list: authors
issue: 3
status: peerReviewed
status: published
volume: 16
has version: On Resolving Non-determinism in Choreographies (PDF)
creator: Laura Bocchi
date: 2020-09-24
is part of: repository
is part of: Logical Methods in Computer Science
subject: QA 76 Software, computer programming,
has document: On Resolving Non-determinism in Choreographies (PDF)
has document: On Resolving Non-determinism in Choreographies (Other)
has published: On Resolving Non-determinism in Choreographies (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

International Federation of Computational Logic (IfCoLog)
type: Organization

Hernán Melgratti
family name: Melgratti
given name: Hernán
type: Person

Emilio Tuosto
family name: Tuosto
given name: Emilio
type: Person

Laura Bocchi
family name: Bocchi
given name: Laura
type: Person

Logical Methods in Computer Science
issn: 18605974
type: Collection

HTML Summary of #82836 A Framework for Effective Corporate Communication after Cyber Security Incidents
format: text/html
primary topic: A Framework for Effective Corporate Communication after Cyber Security Incidents

A Framework for Effective Corporate Communication after Cyber Security Incidents (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Effective-Incident-Comms-C&S2020-Nurse-KAR.pdf
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A Framework for Effective Corporate Communication after Cyber Security Incidents (Other)
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A Framework for Effective Corporate Communication after Cyber Security Incidents (Other)
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A Framework for Effective Corporate Communication after Cyber Security Incidents (Other)
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A Framework for Effective Corporate Communication after Cyber Security Incidents (Other)
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A Framework for Effective Corporate Communication after Cyber Security Incidents (Other)
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A Framework for Effective Corporate Communication after Cyber Security Incidents
abstract: A major cyber security incident can represent a cyber crisis for an organisation, in particular because of the associated risk of substantial reputational damage. As the likelihood of falling victim to a cyberattack has increased over time, so too has the need to understand exactly what is effective corporate communication after an attack, and how best to engage the concerns of customers, partners and other stakeholders. This research seeks to tackle this problem through a critical, multi-faceted investigation into the efficacy of crisis communication and public relations following a data breach. It does so by drawing on academic literature, obtained through a systematic literature review, and real-world case studies. Qualitative data analysis is used to interpret and structure the results, allowing for the development of a new, comprehensive framework for corporate communication to support companies in their preparation and response to such events. The validity of this framework is demonstrated by its evaluation through interviews with senior industry professionals, as well as a critical assessment against relevant practice and research. The framework is further refined based on these evaluations, and an updated version defined. This research represents the first grounded, comprehensive and evaluated proposal for characterising effective corporate communication after cyber security incidents.
author list: authors
status: peerReviewed
status: published
has version: A Framework for Effective Corporate Communication after Cyber Security Incidents (PDF)
creator: Jason R. C. Nurse
date: 2020-09-19
is part of: repository
is part of: Computers & Security
subject: H Social Sciences (General)
subject: HF5351 Business
subject: HF Commerce
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: A Framework for Effective Corporate Communication after Cyber Security Incidents (PDF)
has document: A Framework for Effective Corporate Communication after Cyber Security Incidents (PDF)
has document: A Framework for Effective Corporate Communication after Cyber Security Incidents (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Richard Knight
family name: Knight
given name: Richard
type: Person

HTML Summary of #85186 A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach
format: text/html
primary topic: A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach

A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (PDF)
has part: IEEE-SSCI-CIEL-2020-Ribeiro.pdf
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type: Document

A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (Other)
is index codes version of: A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (PDF)
is version of: A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (PDF)
is volatile version of: A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (PDF)
type: Document

A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (Other)
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A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (Other)
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A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (Other)
is version of: A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (PDF)
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A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (Other)
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A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach
author list: authors
status: peerReviewed
status: published
has version: A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (PDF)
creator: Alex A. Freitas
date: 2020-09-18
is part of: repository
subject: Q335 Artificial intelligence
has accepted: A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (PDF)
has document: A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (PDF)
has document: A New Random Forest Method for Longitudinal Data Classification Using a Lexicographic Bi-Objective Approach (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020)
type: Conference

C.E. Ribeiro
family name: Ribeiro
given name: C.E.
type: Person

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020), Article 223
type: Collection

HTML Summary of #82922 Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles
format: text/html
primary topic: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles

Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Accepted Article.pdf
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has file: Accepted Article.pdf
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type: Document

Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Supporting Information for Accepted Article.pdf
has file: Supporting Information for Accepted Article.pdf
type: Document

Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (Other)
is index codes version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
is version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
is volatile version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
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Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (Other)
is index codes version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
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is volatile version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
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Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (Other)
is version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
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Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (Other)
is version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
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Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (Other)
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Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (Other)
is version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
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Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (Other)
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Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (Other)
is version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
is volatile version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
ispreview thumbnail version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
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Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (Other)
is version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
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Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (Other)
is version of: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
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Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles
abstract: Herein, we report 50 structurally related supramolecular self‐associating amphiphilic (SSA) salts and related compounds. These SSAs are shown to act as antimicrobial agents, active against model Gram‐positive (Methicillin‐Resistant Staphylococcus aureus ) and/or Gram‐negative ( Escherichia coli ) bacteria of clinical interest. Through a combination of solution state, gas phase, solid state and in silico measurements we determine 14 different physicochemical parameters for each of these 50 structurally related compounds. These parameter sets are then used to identify molecular structure – physicochemical property – antimicrobial activity relationships for our model Gram‐negative and Gram‐positive bacteria, while simultaneously providing insight towards the elucidation of SSA mode of antimicrobial action.
author list: authors
status: peerReviewed
status: published
has version: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
creator: Dominique Chu
creator: Daniel P. Mulvihill
creator: H.J. Shepherd
creator: Jennifer R. Hiscock
creator: Laura R. Blackholly
date: 2020-09-15
is part of: repository
is part of: ChemMedChem
subject: Q Science
subject: QD Chemistry
subject: QR Microbiology
has accepted: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
has document: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
has document: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (Other)
has supplemental: Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

QD Chemistry
type: Concept

QR Microbiology
type: Concept

Kendrick K. L. Ng
family name: Ng
given name: Kendrick K. L.
type: Person

Nyasha Allen
family name: Allen
given name: Nyasha
type: Person

Jessica E. Boles
family name: Boles
given name: Jessica E.
type: Person

Rebecca J. Ellaby
family name: Ellaby
given name: Rebecca J.
type: Person

Lisa J. White
family name: White
given name: Lisa J.
type: Person

George T. Williams
family name: Williams
given name: George T.
type: Person

B. Wilson
family name: Wilson
given name: B.
type: Person

Daniel P. Mulvihill
family name: Mulvihill
given name: Daniel P.
type: Person

H.J. Shepherd
family name: Shepherd
given name: H.J.
type: Person

Jennifer R. Hiscock
family name: Hiscock
given name: Jennifer R.
type: Person

Laura R. Blackholly
family name: Blackholly
given name: Laura R.
type: Person

ChemMedChem
issn: 18607179
type: Collection

HTML Summary of #82852 Intelligence without Representation: A Historical Perspective
format: text/html
primary topic: Intelligence without Representation: A Historical Perspective

Intelligence without Representation: A Historical Perspective (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: systems-08-00031-v2.pdf
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type: Document

Intelligence without Representation: A Historical Perspective (Other)
has part: indexcodes.txt
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Intelligence without Representation: A Historical Perspective (Other)
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Intelligence without Representation: A Historical Perspective (Other)
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Intelligence without Representation: A Historical Perspective (Other)
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Intelligence without Representation: A Historical Perspective (Other)
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Intelligence without Representation: A Historical Perspective
abstract: This paper reflects on a seminal work in the history of AI and representation: Rodney Brooks’ 1991 paper Intelligence without Representation. Brooks advocated the removal of explicit representations and engineered environments from the domain of his robotic intelligence experimentation, in favour of an evolutionary-inspired approach using layers of reactive behaviour that operated independently of each other. Brooks criticised the current progress in AI research and believed that removing complex representation from AI would help address problematic areas in modelling the mind. His belief was that we should develop artificial intelligence by being guided by evolutionary development of our own intelligence, and that his approach mirrored how our own intelligence functions. Thus the field of behaviour-based robotics emerged. This paper offers a historical analysis of Brooks’ behaviour-based robotics approach and its impact in artificial intelligence and cognitive theory at the time, as well as in modern-day approaches to AI.
author list: authors
issue: 3
status: peerReviewed
status: published
volume: 8
has version: Intelligence without Representation: A Historical Perspective (PDF)
creator: Anna Jordanous
date: 2020-09-15
is part of: repository
subject: Q335 Artificial intelligence
subject: QA 75 Electronic computers. Computer science
subject: QA76.17 History of computing
subject: QA 76 Software, computer programming,
subject: TA168 Systems engineering
has document: Intelligence without Representation: A Historical Perspective (PDF)
has document: Intelligence without Representation: A Historical Perspective (Other)
has published: Intelligence without Representation: A Historical Perspective (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

TA168 Systems engineering
type: Concept

Systems
type: Collection

HTML Summary of #90813 Verifying Strategic Abilities of Neural-symbolic Multi-agent Systems
format: text/html
primary topic: Verifying Strategic Abilities of Neural-symbolic Multi-agent Systems

Verifying Strategic Abilities of Neural-symbolic Multi-agent Systems
abstract: We investigate the problem of verifying the strategic properties of multi-agent systems equipped with machine learning-based perception units. We introduce a novel model of agents comprising both a perception system implemented via feed-forward neural networks and an action selection mechanism implemented via traditional control logic. We define the verification problem for these systems against a bounded fragment of alternating-time temporal logic. We translate the verification problem on bounded traces into the feasibility problem of mixed integer linear programs and show the soundness and completeness of the translation. We show that the lower bound of the verification problem is PSPACE and the upper bound is coNEXPTIME. We present a tool implementing the compilation and evaluate the experimental results obtained on a complex scenario of multiple aircraft operating a recently proposed prototype for air-traffic collision avoidance.
author list: authors
status: peerReviewed
status: published
creator: Elena Botoeva
date: 2020-09-12
is part of: repository
is part of: Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

17th International Conference on Principles of Knowledge Representation and Reasoning (KR2020)
type: Conference
type: Event

Rhodes, Greece
type: SpatialThing

International Joint Conferences on Artificial Intelligence Organization
type: Organization

Alessio Lomuscio
family name: Lomuscio
given name: Alessio
type: Person

Panagiotis Kouvaros
family name: Kouvaros
given name: Panagiotis
type: Person

Michael E. Akintunde
family name: Akintunde
given name: Michael E.
type: Person

Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning
issn: 23341033
type: Collection

HTML Summary of #82405 A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints
format: text/html
primary topic: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints

A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
type: Document

A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (Other)
is version of: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
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A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (Other)
is version of: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
is volatile version of: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
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type: Document

A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (Other)
is version of: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
is volatile version of: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
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A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (Other)
is version of: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
is volatile version of: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
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A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (Other)
is index codes version of: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
is version of: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
is volatile version of: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
type: Document

A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints
abstract: Simulation can provide a useful means to understand issues linked to industrial network operations. For transparent, collaborative, cost-effective solutions development, and to attract the broadest interest base, simulation is critical and Open Source suggested, because it costs less to access, install, and use. This study contributes new insights from security and functionality characteristics metrics to underscore the use and effectiveness of Open Source simulators. Several Open Source simulators span applications in communications and wireless sensor networks, industrial control systems, and Industrial Internet of Things. Some drivers for their use span; supported licence types, programming languages, operating systems platforms, user interface types, documentation and communication types, citations, code commits, and number of contributors. Research in these simulators is built around performance and optimisation relative to flexibility, scalability, mobility, and active user support. No single simulator addresses all these conceivable characteristics. In addition to modelling contexts that match real-world scenarios and issues, an effective Open Source simulator needs to demonstrate credibility, which can be gained partly through actively engaging experts from interdisciplinary teams along with user contributions integrated under tight editorial controls. Government-led policies and regulations are also necessary to support their wider awareness and more productive use for real-world purposes.
author list: authors
status: peerReviewed
status: published
has version: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
creator: Jason R. C. Nurse
date: 2020-09-09
is part of: repository
is part of: Journal of Defense Modeling and Simulation
subject: Q Science
subject: T Technology
has accepted: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
has document: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (PDF)
has document: A Review of the Use and Utility of Industrial Network-Based Open Source Simulators: Functionality, Security, and Policy Viewpoints (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

SAGE
type: Organization

Al Cook
family name: Cook
given name: Al
type: Person

Jeremy McKendrick Watson
family name: Watson
given name: Jeremy McKendrick
type: Person

Madeline Carr
family name: Carr
given name: Madeline
type: Person

Uchenna Daniel Ani
family name: Ani
given name: Uchenna Daniel
type: Person

Journal of Defense Modeling and Simulation
issn: 15485129
type: Collection

HTML Summary of #82472 An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence
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primary topic: An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence

An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (PDF)
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An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (Other)
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An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (Other)
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An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (Other)
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An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (Other)
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An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (PDF)
is version of: An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (PDF)
is volatile version of: An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (PDF)
type: Document

An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence
abstract: Traditional methods for screening and diagnosis of alcohol dependence are typically administered by trained clinicians in medical settings and often rely on interview responses. These self-reports can be unintentionally or deliberately false, and misleading answers can, in turn, lead to inaccurate assessment and diagnosis. In this study, we examine the use of user-game interaction patterns on mobile games to develop an automated diagnostic and screening tool for alcohol-dependent patients. Our approach relies on the capture of interaction patterns during gameplay, while potential patients engage with popular mobile games on smartphones. The captured signals include gameplay performance, touch gestures, and device motion, with the intention of identifying patients with alcohol dependence. We evaluate the classification performance of various supervised learning algorithms on data collected from 40 patients and 40 age-matched healthy adults. The results show that patients with alcohol dependence can be automatically identified accurately using the ensemble of touch, device motion, and gameplay performance features on 3-minute samples (accuracy=0.95, sensitivity=0.95, and specificity=0.95). The present findings provide strong evidence suggesting the potential use of user-game interaction metrics on existing mobile games as discriminant features for developing an implicit measure to identify alcohol dependence conditions. In addition to supporting healthcare professionals in clinical decision-making, the game-based self-screening method could be used as a novel strategy to promote alcohol dependence screening, especially outside of clinical settings.
author list: authors
issue: 3
status: peerReviewed
status: published
volume: 4
has version: An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (PDF)
creator: C. Efstratiou
creator: Chee Siang Ang
creator: Dinkar Sharma
creator: Jittrapol Intarasirisawat
creator: Naranchaya Sriburapar
date: 2020-09-01
is part of: repository
subject: QA76.9.H85 Human computer interaction
has accepted: An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (PDF)
has document: An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (PDF)
has document: An Automated Mobile Game-based Screening Tool for Patients with Alcohol Dependence (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Burachai Asawathaweeboon
family name: Asawathaweeboon
given name: Burachai
type: Person

Luke Dickens
family name: Dickens
given name: Luke
type: Person

Jittrapol Intarasirisawat
family name: Intarasirisawat
given name: Jittrapol
type: Person

Naranchaya Sriburapar
family name: Sriburapar
given name: Naranchaya
type: Person

HTML Summary of #90404 Autonomous Learning Multiple-Model zero-order classifier for heart sound classification
format: text/html
primary topic: Autonomous Learning Multiple-Model zero-order classifier for heart sound classification

Autonomous Learning Multiple-Model zero-order classifier for heart sound classification
abstract: This paper proposes a new extended zero-order Autonomous Learning Multiple-Model (ALMMo-0*) neuro-fuzzy approach in order to classify different heart disorders through sounds. ALMMo-0* is build upon the recently introduced ALMMo-0. In this paper ALMMo-0 is extended by adding a pre-processing structure which improves the performance of the proposed method. ALMMo-0* has as a learning engine composed of hierarchical a massively parallel set of 0-order fuzzy rules, which are able to self-adapt and provide transparent and human understandable IF ... THEN representation. The heart sound recordings considered in the analysis were sourced from several contributors around the world. Data were collected from both clinical and nonclinical environment, and from healthy and pathological patients. Differently from mainstream machine learning approaches, ALMMo-0* is able to learn from unseen data. The main goal of the proposed method is to provide highly accurate models with high transparency, interpretability, and explainability for heart disorder diagnosis. Experiments demonstrated that the proposed neuro-fuzzy-based modeling is an efficient framework for these challenging classification tasks surpassing its state-of-the-art competitors in terms of classification accuracy. Additionally, ALMMo-0* produced transparent AnYa type fuzzy rules, which are human interpretable, and may help specialists to provide more accurate diagnosis. Medical doctors can easily identify abnormal heart sounds by comparing a patient’s sample with the identified prototypes from abnormal samples by ALMMo-0*.
author list: authors
status: peerReviewed
status: published
volume: 94
creator: Xiaowei Gu
date: 2020-09-01
is part of: repository
is part of: Applied Soft Computing
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Eduardo Soares
family name: Soares
given name: Eduardo
type: Person

Plamen Angelov
family name: Angelov
given name: Plamen
type: Person

Applied Soft Computing
issn: 15684946
type: Collection

HTML Summary of #82754 Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment
format: text/html
primary topic: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment

Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: brb3.1814.pdf
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type: Document

Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (Other)
has part: indexcodes.txt
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is index codes version of: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
is version of: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
is volatile version of: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
type: Document

Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (Other)
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Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (Other)
has part: preview.jpg
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is version of: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
is volatile version of: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
ispreview thumbnail version of: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
type: Document

Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (Other)
has part: medium.jpg
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is version of: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
is volatile version of: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
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type: Document

Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (Other)
has part: small.jpg
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is version of: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
is volatile version of: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
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type: Document

Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment
abstract: Background: The aim of this study was to evaluate whether machine learning (ML) can be used to distinguish patients with methamphetamine dependence from healthy controls by using their surface electroencephalography (EEG) and galvanic skin response (GSR) in a drug-simulated virtual reality (VR) environment. Methods: A total of 333 participants with methamphetamine (METH) dependence and 332 healthy control subjects were recruited between January 2018 and January 2019. EEG (five electrodes) and GSR signals were collected under four VR environments: one neutral scenario and three METH-simulated scenarios. Three ML classification techniques were evaluated: random forest (RF), support vector machine (SVM), and logistic regression (LR). Results: The MANOVA showed no interaction effects among the two subject groups and the 4 VR scenarios. Taking patient groups as the main effect, the METH user group had significantly lower GSR, lower EEG power in delta (p < .001), and alpha bands (p < .001) than healthy subjects. The EEG power of beta band (p < .001) and gamma band (p < .001) was significantly higher in METH group than the control group. Taking the VR scenarios (Neutral versus METH‐VR) as the main effects, the GSR, EEG power in delta, theta, and alpha bands in neutral scenario were significantly higher than in the METH‐VR scenario (p < .001). The LR algorithm showed the highest specificity and sensitivity in distinguishing methamphetamine‐dependent patients from healthy controls. Conclusion: The study shows the potential of using machine learning to distinguish methamphetamine-dependent patients from healthy subjects by using EEG and GSR data. The LR algorithm shows the best performance comparing with SVM and RF algorithm.
author list: authors
status: peerReviewed
status: published
has version: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
creator: Ling Li
date: 2020-08-29
is part of: repository
is part of: Brain and Behavior
subject: Q Science (General)
has document: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
has document: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (Other)
has published: Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Xinfang Ding
family name: Ding
given name: Xinfang
type: Person

Yuanhui Li
family name: Li
given name: Yuanhui
type: Person

Dai Li
family name: Li
given name: Dai
type: Person

Xiuyun Liu
family name: Liu
given name: Xiuyun
type: Person

Brain and Behavior
issn: 21623279
type: Collection

HTML Summary of #83026 A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet
format: text/html
primary topic: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet

A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
has part: EMBC2020_LIN.pdf
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type: Document

A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
is version of: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
is volatile version of: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
type: Document

A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (Other)
has part: lightbox.jpg
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is version of: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
is volatile version of: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
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type: Document

A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (Other)
has part: preview.jpg
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is version of: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
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type: Document

A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (Other)
has part: medium.jpg
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is version of: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
is volatile version of: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
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type: Document

A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (Other)
has part: small.jpg
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is version of: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
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type: Document

A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet
abstract: Recently, the subject-specific surface electromyography (sEMG)-based gesture classification with deep learning algorithms has been widely researched. However, it is not practical to obtain the training data by requiring a user to perform hand gestures many times in real life. This problem can be alleviated to a certain extent if sEMG from many other subjects could be used to train the classifier. In this paper, we propose a normalisation approach that allows implementing real-time subject-independent sEMG based hand gesture classification without training the deep learning algorithm subject specifically. We hypothesed that the amplitude ranges of sEMG across channels between forearm muscle contractions for a hand gesture recorded in the same condition do not vary significantly within each individual. Therefore, the min-max normalisation is applied to source domain data but the new maximum and minimum values of each channel used to restrict the amplitude range are calculated from a trial cycle of a new user (target domain) and assigned by the class label. A convolutional neural network (ConvNet) trained with the normalised data achieved an average 87.03 accuracy on our G. dataset (12 gestures) and 94.53 on M. dataset (7 gestures) by using the leave-one-subject-out cross-validation.
author list: authors
status: peerReviewed
status: published
has version: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
creator: Ling Li
creator: Philippe De Wilde
creator: Ramaswamy Palaniappan
creator: Yuzhou Lin
date: 2020-08-27
is part of: repository
subject: Q Science (General)
has accepted: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
has document: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (PDF)
has document: A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC)
type: Conference

HTML Summary of #91414 Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases
format: text/html
primary topic: Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases

Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases
abstract: This paper presents a robust deep learning framework developed to detect respiratory diseases from recordings of respiratory sounds. The complete detection process firstly involves front end feature extraction where recordings are transformed into spectrograms that convey both spectral and temporal information. Then a back-end deep learning model classifies the features into classes of respiratory disease or anomaly. Experiments, conducted over the ICBHI benchmark dataset of respiratory sounds, evaluate the ability of the framework to classify sounds. Two main contributions are made in this paper. Firstly, we provide an extensive analysis of how factors such as respiratory cycle length, time resolution, and network architecture, affect final prediction accuracy. Secondly, a novel deep learning based framework is proposed for detection of respiratory diseases and shown to perform extremely well compared to state of the art methods.
author list: authors
status: peerReviewed
status: published
creator: Huy Phan
creator: I. McLoughlin
creator: Lam Dang Pham
creator: Ramaswamy Palaniappan
date: 2020-08-27
is part of: repository
subject: R858 Computer applications to medicine. Medical informatics. Medical information technology
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
type: Conference
type: Event

Truc Nguyen
family name: Nguyen
given name: Truc
type: Person

HTML Summary of #83024 Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds
format: text/html
primary topic: Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds

Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds (PDF)
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Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds (Other)
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Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds (Other)
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Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds (Other)
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Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds (Other)
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Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds (Other)
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Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds
abstract: Respiratory condition has received a great amount of attention nowadays since respiratory diseases recently become the globally leading causes of death. Traditionally, stethoscope is applied in early diagnosis but it requires clinician with extensive training experience to provide accurate diagnosis. Accordingly, a subjective and fast diagnosing solution of respiratory diseases is highly demanded. Adventitious respiratory sounds (ARSs), such as crackle, are mainly concerned during diagnosis since they are indication of various respiratory diseases. Therefore, the characteristics of crackle are informative and valuable regarding to develop a computerised approach for pathology-based diagnosis. In this work, we propose a framework combining random forest classifier and Empirical Mode Decomposition (EMD) method focusing on a multi-classification task of identifying subjects in 6 respiratory conditions (healthy, bronchiectasis, bronchiolitis, COPD, pneumonia and URTI). Specifically, 14 combinations of respiratory sound segments were compared and we found segmentation plays an important role in classifying different respiratory conditions. The classifier with best performance (accuracy = 0.88, precision = 0.91, recall = 0.87, specificity = 0.91, F1-score = 0.81) was trained with features extracted from the combination of early inspiratory phase and entire inspiratory phase. To our best knowledge, we are the first to address the challenging multi-classification problem.
author list: authors
status: peerReviewed
status: published
has version: Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds (PDF)
creator: Ling Li
creator: Liqun Wu
date: 2020-08-27
is part of: repository
subject: Q Science
has document: Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds (PDF)
has document: Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds (Other)
has published: Investigating into segmentation methods for diagnosis of respiratory diseases using adventitious respiratory sounds (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

Liqun Wu
family name: Wu
given name: Liqun
type: Person

HTML Summary of #82547 An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms
format: text/html
primary topic: An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms

An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (PDF)
has part: Evol-Intelligence-J-2020-Basgalupp-Subm-and-Accept.pdf
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An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (Other)
is index codes version of: An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (PDF)
is version of: An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (PDF)
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type: Document

An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (Other)
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An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (Other)
is version of: An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (PDF)
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type: Document

An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (Other)
is version of: An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (PDF)
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An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (Other)
is version of: An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (PDF)
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An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms
abstract: This paper presents an experimental comparison among four automated machine learning (AutoML) methods for recommending the best classification algorithm for a given input dataset. Three of these methods are based on evolutionary algorithms (EAs), and the other is Auto-WEKA, a well-known AutoML method based on the combined algorithm selection and hyper-parameter optimisation (CASH) approach. The EA-based methods build classification algorithms from a single machine learning paradigm: either decision-tree induction, rule induction, or Bayesian network classification. Auto-WEKA combines algorithm selection and hyper-parameter optimisation to recommend classification algorithms from multiple paradigms. We performed controlled experiments where these four AutoML methods were given the same runtime limit for different values of this limit. In general, the difference in predictive accuracy of the three best AutoML methods was not statistically significant. However, the EA evolving decision-tree induction algorithms has the advantage of producing algorithms that generate interpretable classification models and that are more scalable to large datasets, by comparison with many algorithms from other learning paradigms that can be recommended by Auto-WEKA. We also observed that Auto-WEKA has shown meta-overfitting, a form of overfitting at the meta-learning level, rather than at the base-learning level.
author list: authors
issue: 4
status: peerReviewed
status: published
volume: 14
has version: An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (PDF)
creator: Alex A. Freitas
date: 2020-08-19
is part of: repository
is part of: Evolutionary Intelligence
subject: Q335 Artificial intelligence
has accepted: An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (PDF)
has document: An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (PDF)
has document: An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

G.L. Pappa
family name: Pappa
given name: G.L.
type: Person

A.G.C. de Sá
family name: de Sá
given name: A.G.C.
type: Person

R.C. Barros
family name: Barros
given name: R.C.
type: Person

M.P. Basgalupp
family name: Basgalupp
given name: M.P.
type: Person

A.C.P.L.F. de Carvalho
family name: de Carvalho
given name: A.C.P.L.F.
type: Person

R.G. Mantovani
family name: Mantovani
given name: R.G.
type: Person

Evolutionary Intelligence
issn: 18645909
type: Collection

HTML Summary of #82515 Machine-checked natural semantics for Core Erlang: exceptions and side effects
format: text/html
primary topic: Machine-checked natural semantics for Core Erlang: exceptions and side effects

Machine-checked natural semantics for Core Erlang: exceptions and side effects (PDF)
license: http://creativecommons.org/licenses/by-nd/3.0/
has part: EW2020 final.pdf
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Machine-checked natural semantics for Core Erlang: exceptions and side effects (Other)
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Machine-checked natural semantics for Core Erlang: exceptions and side effects (Other)
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Machine-checked natural semantics for Core Erlang: exceptions and side effects (Other)
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Machine-checked natural semantics for Core Erlang: exceptions and side effects (Other)
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Machine-checked natural semantics for Core Erlang: exceptions and side effects (Other)
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Machine-checked natural semantics for Core Erlang: exceptions and side effects
abstract: This research is part of a wider project that aims to investigate and reason about the correctness of scheme-based source code transformations of Erlang programs. In order to formally reason about the definition of a programming language and the software built using it, we need a mathematically rigorous description of that language. In this paper, we present an extended natural semantics for Core Erlang based on our previous formalisation implemented with the Coq Proof Assistant. This extension includes the concepts of exceptions and side effects, moreover, some modifications and updates are also discussed. Then we describe theorems about the properties of this formalisation (e.g. determinism), formal expression evaluation and equivalence examples. These equivalences can be interpreted as simple local refactorings.
author list: authors
status: peerReviewed
status: published
has version: Machine-checked natural semantics for Core Erlang: exceptions and side effects (PDF)
creator: Simon Thompson
date: 2020-08-19
is part of: repository
subject: QA76.76 Computer software
subject: QA 76 Software, computer programming,
has accepted: Machine-checked natural semantics for Core Erlang: exceptions and side effects (PDF)
has document: Machine-checked natural semantics for Core Erlang: exceptions and side effects (PDF)
has document: Machine-checked natural semantics for Core Erlang: exceptions and side effects (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

19th ACM SIGPLAN International Workshop on Erlang
type: Conference
type: Event

Jersey City, USA / Online
type: SpatialThing

Péter Bereczky
family name: Bereczky
given name: Péter
type: Person

Dániel Horpácsi
family name: Horpácsi
given name: Dániel
type: Person

HTML Summary of #81977 Scaling Up Delta Debugging of Type Errors
format: text/html
primary topic: Scaling Up Delta Debugging of Type Errors

Scaling Up Delta Debugging of Type Errors (PDF)
type: Document

Scaling Up Delta Debugging of Type Errors (Other)
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Scaling Up Delta Debugging of Type Errors (Other)
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Scaling Up Delta Debugging of Type Errors (Other)
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Scaling Up Delta Debugging of Type Errors (Other)
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Scaling Up Delta Debugging of Type Errors (Other)
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Scaling Up Delta Debugging of Type Errors
abstract: Type error messages of compilers of statically typed functional languages are often inaccurate, making type error debugging hard. Many solutions to the problem have been proposed, but most have been evaluated only with short programs, that is, of fewer than 30 lines. In this paper we note that our own tool for delta debugging type errors scales poorly for large programs. In response we present a new tool that applies a new algorithm for segmenting a large program before the delta debugging algorithm is applied. We propose a framework for quantifying the quality of type error debuggers and apply it to our new tool demonstrating substantial improvement.
author list: authors
editor list: editors
status: peerReviewed
status: published
has version: Scaling Up Delta Debugging of Type Errors (PDF)
creator: Joanna Sharrad
creator: Olaf Chitil
date: 2020-08-18
is part of: repository
subject: QA 76 Software, computer programming,
has accepted: Scaling Up Delta Debugging of Type Errors (PDF)
has document: Scaling Up Delta Debugging of Type Errors (PDF)
has document: Scaling Up Delta Debugging of Type Errors (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

21st International Symposium on Trends in Functional Programming
type: Conference
type: Event

Krakow, Poland
type: SpatialThing

Aleksander Byrski
family name: Byrski
given name: Aleksander
type: Person

John Hughes
family name: Hughes
given name: John
type: Person

HTML Summary of #82503 A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang
format: text/html
primary topic: A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang

A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang (PDF)
license: http://creativecommons.org/licenses/by-nd/3.0/
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A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang (Other)
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A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang (Other)
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A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang (Other)
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A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang (Other)
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A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang (Other)
has part: small.jpg
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type: Document

A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang
abstract: We present a proof-assistant-based formalisation of a subset of Erlang, intended to serve as a base for proving refactorings correct. After discussing how we reused concepts from related work, we show the syntax and semantics of our formal description, including the abstractions involved (e.g. the concept of a closure). We also present essential properties of the formalisation (e.g. determinism) along with the summary of their machine-checked proofs. Finally, we prove expression pattern equivalences which can be interpreted as simple local refactorings.
author list: authors
editor list: editors
status: peerReviewed
status: published
volume: 12222
has version: A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang (PDF)
creator: Daniel Horpacsi
creator: Simon Thompson
date: 2020-08-17
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA76.76 Computer software
subject: QA 76 Software, computer programming,
has accepted: A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang (PDF)
has document: A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang (PDF)
has document: A Proof Assistant Based Formalisation of a Subset of Sequential Core Erlang (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

International Symposium on Trends in Functional Programming
type: Conference
type: Event

John Hughes
family name: Hughes
given name: John
type: Person

Aleksander Byrski
family name: Byrski
given name: Aleksander
type: Person

Péter Bereczky
family name: Bereczky
given name: Péter
type: Person

Daniel Horpacsi
family name: Horpacsi
given name: Daniel
type: Person

HTML Summary of #81488 Well-matchedness in Euler and Linear Diagrams
format: text/html
primary topic: Well-matchedness in Euler and Linear Diagrams

Well-matchedness in Euler and Linear Diagrams (PDF)
has part: Diagrams2020WMStudyFinal.pdf
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Well-matchedness in Euler and Linear Diagrams (Other)
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Well-matchedness in Euler and Linear Diagrams (Other)
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Well-matchedness in Euler and Linear Diagrams (Other)
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Well-matchedness in Euler and Linear Diagrams (Other)
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Well-matchedness in Euler and Linear Diagrams (Other)
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Well-matchedness in Euler and Linear Diagrams
abstract: A key feature of diagrams is well-matchedness, referred to as iconicity in philosophy. A well-matched diagram has a structural resemblance to its semantics and is believed to be an effective representation. In this paper, we view well-matchedness as a feature of diagrams' meaning carriers { syntactic relationships that convey meaning. Each meaning carrier may or may not structurally resemble, i.e. be well-matched to, its semantics. This paper provides the first empirical study that evaluates the impact of well-matched meaning carriers on effectiveness in Euler diagrams and linear diagrams. There are two key take-away messages: using only well-matched meaning carriers led to the best task performance and using both well-matched and non-well-matched meaning carriers in a single diagram should be approached with caution.
author list: authors
status: peerReviewed
status: published
volume: 12169
has version: Well-matchedness in Euler and Linear Diagrams (PDF)
creator: Anestis Touloumis
creator: Gem Stapleton
creator: Peter Rodgers
date: 2020-08-17
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA 76 Software, computer programming,
has accepted: Well-matchedness in Euler and Linear Diagrams (PDF)
has document: Well-matchedness in Euler and Linear Diagrams (PDF)
has document: Well-matchedness in Euler and Linear Diagrams (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

Diagrams 2020: 11th International Conference on the Theory and Application of Diagrams
type: Conference
type: Event

Tallinn, Estonia
type: SpatialThing

Andrew Blake
family name: Blake
given name: Andrew
type: Person

HTML Summary of #82483 Marlowe: Implementing and Analysing Financial Contracts on Blockchain
format: text/html
primary topic: Marlowe: Implementing and Analysing Financial Contracts on Blockchain

Marlowe: Implementing and Analysing Financial Contracts on Blockchain (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Marlowe: Implementing and Analysing Financial Contracts on Blockchain (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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type: Document

Marlowe: Implementing and Analysing Financial Contracts on Blockchain (Other)
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Marlowe: Implementing and Analysing Financial Contracts on Blockchain (Other)
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Marlowe: Implementing and Analysing Financial Contracts on Blockchain (Other)
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Marlowe: Implementing and Analysing Financial Contracts on Blockchain (Other)
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Marlowe: Implementing and Analysing Financial Contracts on Blockchain (Other)
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Marlowe: Implementing and Analysing Financial Contracts on Blockchain
abstract: Marlowe is a DSL for financial contracts. We describe the implementation of Marlowe on the Cardano blockchain, and the Marlowe Playground web-based development and simulation environment. Contracts in Marlowe can be exhaustively analysed prior to running them, thus providing strong guarantees to participants in the contract. The Marlowe system itself has been formally verified using the Isabelle theorem prover, establishing such properties as the conservation of money.
author list: authors
editor list: editors
status: peerReviewed
status: published
has version: Marlowe: Implementing and Analysing Financial Contracts on Blockchain (PDF)
creator: Simon Thompson
date: 2020-08-07
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA76.76 Computer software
has document: Marlowe: Implementing and Analysing Financial Contracts on Blockchain (PDF)
has document: Marlowe: Implementing and Analysing Financial Contracts on Blockchain (Other)
has other: Marlowe: Implementing and Analysing Financial Contracts on Blockchain (PDF)
has published: Marlowe: Implementing and Analysing Financial Contracts on Blockchain (PDF)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

Pablo Lamela Seijas
family name: Lamela Seijas
given name: Pablo
type: Person

Massimiliano Sala
family name: Sala
given name: Massimiliano
type: Person

Alexander Nemish
family name: Nemish
given name: Alexander
type: Person

Andrea Bracciali
family name: Bracciali
given name: Andrea
type: Person

David Smith
family name: Smith
given name: David
type: Person

L. Jean Camp
family name: Camp
given name: L. Jean
type: Person

Peter B. Rønne
family name: Rønne
given name: Peter B.
type: Person

Matthew Bernhard
family name: Bernhard
given name: Matthew
type: Person

Alana Maurushat
family name: Maurushat
given name: Alana
type: Person

Shin'ichiro Matsuo
family name: Matsuo
given name: Shin'ichiro
type: Person

HTML Summary of #82407 Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness
format: text/html
primary topic: Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness

Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (Other)
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Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (Other)
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Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (Other)
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Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (Other)
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Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (Other)
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Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (Other)
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Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (Other)
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Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (Other)
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Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (Other)
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Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (Other)
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Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness
abstract: Providing an accurate prognosis for prolonged disorder of consciousness (pDOC) patients remains a clinical challenge. Large cross-sectional studies have demonstrated the diagnostic and prognostic value of functional brain networks measured using high-density electroencephalography (hdEEG). Nonetheless, the prognostic value of these neural measures has yet to be assessed by longitudinal follow-up. We address this gap by assessing the utility of hdEEG to prognosticate long-term behavioural outcome, employing longitudinal data collected from a cohort of patients assessed systematically with resting hdEEG and the Coma Recovery Scale-Revised (CRS-R) at the bedside over a period of two years. We used canonical correlation analysis to relate clinical (including CRS-R scores combined with demographic variables) and hdEEG variables to each other. This analysis revealed that the patient’s age, and the hdEEG theta band power and alpha band connectivity, contributed most significantly to the relationship between hdEEG and clinical variables. Further, we found that hdEEG measures recorded at the time of assessment augmented clinical measures in predicting CRS-R scores at the next assessment. Moreover, the rate of hdEEG change not only predicted later changes in CRS-R scores, but also outperformed clinical measures in terms of prognostic power. Together, these findings suggest that improvements in functional brain networks precede changes in behavioural awareness in pDOC. We demonstrate here that bedside hdEEG assessments conducted at specialist nursing homes are feasible, have clinical utility, and can complement clinical knowledge and systematic behavioural assessments to inform prognosis and care.
author list: authors
status: peerReviewed
status: published
volume: 28
has version: Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (PDF)
creator: Srivas Chennu
date: 2020-08-05
is part of: repository
subject: Q Science
has accepted: Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (PDF)
has document: Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (PDF)
has document: Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (Other)
has published: Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Peter J.A. Hutchinson
family name: Hutchinson
given name: Peter J.A.
type: Person

John D. Pickard
family name: Pickard
given name: John D.
type: Person

David K. Menon
family name: Menon
given name: David K.
type: Person

Judith Allanson
family name: Allanson
given name: Judith
type: Person

Neil Roberts
family name: Roberts
given name: Neil
type: Person

Corinne A. Bareham
family name: Bareham
given name: Corinne A.
type: Person

NeuroImage: Clinical
type: Collection

HTML Summary of #81709 Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases
format: text/html
primary topic: Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases

Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Aldraimli et al._(PublishedVersion)14062020.pdf
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Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (Other)
is index codes version of: Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (PDF)
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Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (Other)
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Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (Other)
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Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (Other)
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Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (Other)
is version of: Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (PDF)
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Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases
abstract: Classifying subjects into risk categories is a common challenge in medical research. Machine Learning (ML) methods are widely used in the areas of risk prediction and classification. The primary objective of such algorithms is to use several features to predict dichotomous responses (e.g., healthy/at risk). Similar to statistical inference modelling, ML modelling is subject to the problem of class imbalance and is affected by the majority class, increasing the false-negative rate. In this study, we built and evaluated thirty-six ML models to classify approximately 4300 female and 4100 male participants from the UK Biobank into three categorical risk statuses based on discretised visceral adipose tissue (VAT) measurements from magnetic resonance imaging. We also examined the effect of sampling techniques on the models when dealing with class imbalance. The sampling techniques used had a significant impact on the classification and resulted in an improvement in risk status prediction by facilitating an increase in the information contained within each variable. Based on domain expert criteria the best three classification models for the female and male cohort visceral fat prediction were identified. The Area Under Receiver Operator Characteristic curve of the models tested (with external data) was 0.78 to 0.89 for females and 0.75 to 0.86 for males. These encouraging results will be used to guide further development of models to enable prediction of VAT value. This will be useful to identify individuals with excess VAT volume who are at risk of developing metabolic disease ensuring relevant lifestyle interventions can be appropriately targeted.
author list: authors
status: peerReviewed
status: published
volume: 10
has version: Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (PDF)
creator: Daniele Soria
date: 2020-07-30
is part of: repository
is part of: Health and Technology
subject: T Technology
has accepted: Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (PDF)
has document: Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (PDF)
has document: Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

M.V. Dwek
family name: Dwek
given name: M.V.
type: Person

E.L. Thomas
family name: Thomas
given name: E.L.
type: Person

T.J. Chaussalet
family name: Chaussalet
given name: T.J.
type: Person

J.D. Bell
family name: Bell
given name: J.D.
type: Person

J. Parkinson
family name: Parkinson
given name: J.
type: Person

M. Aldraimli
family name: Aldraimli
given name: M.
type: Person

Health and Technology
issn: 21907188
type: Collection

HTML Summary of #81313 Is your chatbot GDPR compliant? Open issues in agent design
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primary topic: Is your chatbot GDPR compliant? Open issues in agent design

Is your chatbot GDPR compliant? Open issues in agent design (PDF)
has part: CUI-2020-Chatbots-GDPR.pdf
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Is your chatbot GDPR compliant? Open issues in agent design (Other)
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Is your chatbot GDPR compliant? Open issues in agent design (Other)
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Is your chatbot GDPR compliant? Open issues in agent design (Other)
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Is your chatbot GDPR compliant? Open issues in agent design (Other)
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Is your chatbot GDPR compliant? Open issues in agent design (Other)
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Is your chatbot GDPR compliant? Open issues in agent design
abstract: Conversational agents open the world to new opportunities for human interaction and ubiquitous engagement. As their conversational abilities and knowledge has improved, these agents have begun to have access to an increasing variety of personally identifiable information and intimate details on their user base. This access raises crucial questions in light of regulations as robust as the General Data Protection Regulation (GDPR). This paper explores some of these questions, with the aim of defining relevant open issues in conversational agent design. We hope that this work can provoke further research into building agents that are effective at user interaction, but also respectful of regulations and user privacy.
author list: authors
status: peerReviewed
status: published
has version: Is your chatbot GDPR compliant? Open issues in agent design (PDF)
creator: Jason R. C. Nurse
date: 2020-07-22
is part of: repository
subject: H Social Sciences (General)
subject: K Law
subject: QA 76 Software, computer programming,
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: Is your chatbot GDPR compliant? Open issues in agent design (PDF)
has document: Is your chatbot GDPR compliant? Open issues in agent design (PDF)
has document: Is your chatbot GDPR compliant? Open issues in agent design (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2nd International Conference on Conversational User Interfaces (CUI)
type: Conference
type: Event

Bilbao, Spain
type: SpatialThing

Rahime Belen Sağlam
family name: Belen Sağlam
given name: Rahime
type: Person

HTML Summary of #82231 Prioritizing positive feature values: a new hierarchical feature selection method
format: text/html
primary topic: Prioritizing positive feature values: a new hierarchical feature selection method

Prioritizing positive feature values: a new hierarchical feature selection method (PDF)
has part: Applied-Intelligence-2020-da-Silva-post-reviews.pdf
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Prioritizing positive feature values: a new hierarchical feature selection method (Other)
is index codes version of: Prioritizing positive feature values: a new hierarchical feature selection method (PDF)
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Prioritizing positive feature values: a new hierarchical feature selection method (Other)
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Prioritizing positive feature values: a new hierarchical feature selection method (Other)
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Prioritizing positive feature values: a new hierarchical feature selection method (Other)
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Prioritizing positive feature values: a new hierarchical feature selection method (Other)
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Prioritizing positive feature values: a new hierarchical feature selection method
abstract: In this work, we address the problem of feature selection for the classification task in hierarchical and sparse feature spaces, which characterise many real-world applications nowadays. A binary feature space is deemed hierarchical when its binary features are related via generalization-specialization relationships, and is considered sparse when in general the instances contain much fewer “positive” than “negative” feature values. In any given instance, a feature value is deemed positive (negative) when the property associated with the feature has been (has not been) observed for that instance. Although there are many methods for the traditional feature selection problem in the literature, the proper treatment to hierarchical feature structures is still a challenge. Hence, we introduce a novel hierarchical feature selection method that follows the lazy learning paradigm – selecting a feature subset tailored for each instance in the test set. Our strategy prioritizes the selection of features with positive values, since they tend to be more informative – the presence of a relatively rare property is usually a piece of more relevant information than the absence of that property. Experiments on different application domains have shown that the proposed method outperforms previous hierarchical feature selection methods and also traditional methods in terms of predictive accuracy, selecting smaller feature subsets in general.
author list: authors
status: peerReviewed
status: published
has version: Prioritizing positive feature values: a new hierarchical feature selection method (PDF)
creator: Alex A. Freitas
date: 2020-07-20
is part of: repository
is part of: Applied Intelligence
subject: Q335 Artificial intelligence
has accepted: Prioritizing positive feature values: a new hierarchical feature selection method (PDF)
has document: Prioritizing positive feature values: a new hierarchical feature selection method (PDF)
has document: Prioritizing positive feature values: a new hierarchical feature selection method (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Pablo Nasciemento da Silva
family name: da Silva
given name: Pablo Nasciemento
type: Person

Alexandre Plastino
family name: Plastino
given name: Alexandre
type: Person

Applied Intelligence
issn: 0924669X
type: Collection

HTML Summary of #80965 The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes
format: text/html
primary topic: The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes

The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes (PDF)
has part: CS-2020-cyber-insurance-cr.pdf
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type: Document

The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes (Other)
has part: indexcodes.txt
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The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes (Other)
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The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes (Other)
has part: preview.jpg
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The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes (Other)
has part: medium.jpg
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The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes (Other)
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The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes
abstract: Cyber insurance is a key component in risk management, intended to transfer risks and support business recovery in the event of a cyber incident. As cyber insurance is still a new concept in practice and research, there are many unanswered questions regarding the data and economic models that drive it, the coverage options and pricing of premiums, and its more procedural policy-related aspects. This paper aims to address some of these questions by focusing on the key types of data which are used by cyber-insurance practitioners, particularly for decision-making in the insurance underwriting and claim processes. We further explore practitioners' perceptions of the challenges they face in gathering and using data, and identify gaps where further data is required. We draw our conclusions from a qualitative study by conducting a focus group with a range of cyber-insurance professionals (including underwriters, actuaries, claims specialists, breach responders, and cyber operations specialists) and provide valuable contributions to existing knowledge. These insights include examples of key data types which contribute to the calculation of premiums and decisions on claims, the identification of challenges and gaps at various stages of data gathering, and initial perspectives on the development of a pre-competitive dataset for the cyber insurance industry. We believe an improved understanding of data gathering and usage in cyber insurance, and of the current challenges faced, can be invaluable for informing future research and practice.
author list: authors
status: peerReviewed
status: published
has version: The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes (PDF)
creator: Jason R. C. Nurse
date: 2020-07-14
is part of: repository
subject: H Social Sciences
subject: HF Commerce
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes (PDF)
has document: The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes (PDF)
has document: The Data that Drives Cyber Insurance: A Study into the Underwriting and Claims Processes (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

CyberSA 2020
type: Conference

Ioannis Agrafiotis
family name: Agrafiotis
given name: Ioannis
type: Person

Michael Goldsmith
family name: Goldsmith
given name: Michael
type: Person

Louise Axon
family name: Axon
given name: Louise
type: Person

Arnau Erola
family name: Erola
given name: Arnau
type: Person

Sadie Creese
family name: Creese
given name: Sadie
type: Person

HTML Summary of #89541 Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces.
format: text/html
primary topic: Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces.

Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. (PDF)
type: Document

Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. (Other)
is index codes version of: Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. (PDF)
is version of: Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. (PDF)
is volatile version of: Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. (PDF)
type: Document

Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces.
author list: authors
status: peerReviewed
status: published
has version: Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. (PDF)
creator: Alex A. Freitas
date: 2020-07-13
is part of: repository
subject: Q335 Artificial intelligence
has accepted: Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. (PDF)
has document: Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. (PDF)
has document: Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces. (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

10th International Conference on Probabilistic Graphic Models (PGM 2020)
type: Conference

Cen Wan
family name: Wan
given name: Cen
type: Person

PMLR (Proceedings of Machine Learning Research) 138
type: Collection

HTML Summary of #82634 Computing and Programming in Context — Introduction
format: text/html
primary topic: Computing and Programming in Context — Introduction

Computing and Programming in Context — Introduction (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Petricek2020_Article_ComputingAndProgrammingInConte.pdf
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Computing and Programming in Context — Introduction (Other)
has part: indexcodes.txt
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Computing and Programming in Context — Introduction (Other)
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Computing and Programming in Context — Introduction (Other)
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Computing and Programming in Context — Introduction (Other)
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Computing and Programming in Context — Introduction (Other)
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Computing and Programming in Context — Introduction
abstract: In a society where computers have become ubiquitous, it is necessary to develop a broader understanding of the nature of computing and programming, not just from a technical viewpoint but also from a historical and philosophical perspective. Computers and computer programs do not exist in a vacuum. Instead, they are a part of a rich socio-technological context that provides ways for understanding computers and reasoning about programs. This includes not only formal logic, mathematics, sciences, and technology but also cognitive sciences and sociology. The focus of this special issue is on questions that arise when we consider computing and programming in a wider context. In particular, the papers in this special issue explore the interplay between computing or programming and mathematics, formal logic, sciences, technology, and society.
author list: authors
status: peerReviewed
status: published
has version: Computing and Programming in Context — Introduction (PDF)
creator: Tomas Petricek
date: 2020-07-09
is part of: repository
is part of: Philosophy & Technology
subject: QA 76 Software, computer programming,
has document: Computing and Programming in Context — Introduction (PDF)
has document: Computing and Programming in Context — Introduction (Other)
has published: Computing and Programming in Context — Introduction (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Tomas Petricek
family name: Petricek
given name: Tomas
type: Person

Philosophy & Technology
issn: 22105433
type: Collection

HTML Summary of #81277 A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR
format: text/html
primary topic: A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR

A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: DAPPS2020.pdf
has part: DAPPS2020.pdf_nocoversheet
has file: DAPPS2020.pdf
has file: DAPPS2020.pdf_nocoversheet
type: Document

A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR (Other)
has part: indexcodes.txt
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A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR (Other)
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A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR (Other)
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A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR (Other)
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A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR (Other)
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A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR
abstract: After the European Union's new General Data Protection Regulation (GDPR) became applicable in May 2018,concerns about the legal compliance of public blockchain systems with rights guaranteed by GDPR have emerged, e.g., on the "right to be forgotten". In order to better understand how the blockchain sector sees the challenges raised by GDPR and how such their communications could influence their users, this paper reports our data-driven analysis of GDPR-related public online communications of blockchain developers and service providers.Our analysis covers 314 public blockchain systems, and two different online communication channels: legal documents including privacy policies, T&C (Terms and Conditions) documents and other similar legal documents published on systems’ official websites and public tweets of their official Twitter accounts.Our analysis revealed that only a minority (86/314≈27.5%)of the investigated blockchain systems had covered GDPR at least once using one or both communication channels. Among the 86systems, only 27 systems (8.6%) had at least one legal document that actually talks about GDPR for the corresponding blockchain system. We noticed a systematic lack of detail about why and how the GDPR compliance issue was addressed, and most systems made questionable statements about GDPR compliance. There sults are surprising considering that the GDPR was enacted in 2016 and has been in effect since May 2018.
author list: authors
status: peerReviewed
status: published
has version: A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR (PDF)
creator: Çağrı B. Aslan
creator: Ganna Pogrebna
creator: Lisa Dickson
creator: Rahime Belen Sağlam
creator: Shujun Li
date: 2020-07-08
is part of: repository
subject: K Law (General)
subject: QA76.76 Computer software
subject: TK5105.5 Computer networks
has accepted: A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR (PDF)
has document: A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR (PDF)
has document: A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

K Law (General)
type: Concept

TK5105.5 Computer networks
type: Concept

IEEE DAPPS 2020 (2nd IEEE International Conference on Decentralized Applications and Infrastructures)
type: Conference
type: Event

Oxford, UK
type: SpatialThing

Çağrı B. Aslan
family name: Aslan
given name: Çağrı B.
type: Person

Ganna Pogrebna
family name: Pogrebna
given name: Ganna
type: Person

Lisa Dickson
family name: Dickson
given name: Lisa
type: Person

Rahime Belen Sağlam
family name: Sağlam
given name: Rahime Belen
type: Person

HTML Summary of #83683 Is This Noise, or Does This Mean Something? #benchmarking
format: text/html
primary topic: Is This Noise, or Does This Mean Something? #benchmarking

Is This Noise, or Does This Mean Something? #benchmarking
author list: authors
status: published
creator: Stefan Marr
date: 2020-07-07
is part of: repository
subject: QA 75 Electronic computers. Computer science
type: Article
type: EPrint
type: InternetEPrint

HTML Summary of #81001 Reducing Bit-Vector Polynomials to SAT using Gröbner Bases
format: text/html
primary topic: Reducing Bit-Vector Polynomials to SAT using Gröbner Bases

Reducing Bit-Vector Polynomials to SAT using Gröbner Bases (PDF)
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type: Document

Reducing Bit-Vector Polynomials to SAT using Gröbner Bases (Other)
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Reducing Bit-Vector Polynomials to SAT using Gröbner Bases (Other)
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Reducing Bit-Vector Polynomials to SAT using Gröbner Bases (Other)
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Reducing Bit-Vector Polynomials to SAT using Gröbner Bases (Other)
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Reducing Bit-Vector Polynomials to SAT using Gröbner Bases (Other)
has part: indexcodes.txt
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Reducing Bit-Vector Polynomials to SAT using Gröbner Bases
abstract: We address the satisfiability of systems of polynomial equations over bit-vectors. Instead of conventional bit-blasting, we exploit word-level inference to translate these systems into non-linear pseudo-boolean constraints. We derive the pseudo-booleans by simulating bit assignments through the addition of (linear) polynomials and applying a strong form of propagation by computing Gröbner bases. By handling bit assignments symbolically, the number of Gröbner basis calculations, along with the number of assignments, is reduced. The final Gröbner basis yields expressions for the bit-vectors in terms of the symbolic bits, together with non-linear pseudo-boolean constraints on the symbolic variables, modulo a power of two. The pseudo-booleans can be solved by translation into classical linear pseudo-boolean constraints (without a modulo) or by encoding them as propositional formulae, for which a novel translation process is described.
author list: authors
editor list: editors
status: peerReviewed
status: published
volume: 12178
creator: Andy King
creator: Thomas Seed
date: 2020-07-05
is part of: repository
subject: QA Mathematics (inc Computing science)
has document: Reducing Bit-Vector Polynomials to SAT using Gröbner Bases (PDF)
has document: Reducing Bit-Vector Polynomials to SAT using Gröbner Bases (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

Neil Evans
family name: Evans
given name: Neil
type: Person

Lusa Pulina
family name: Pulina
given name: Lusa
type: Person

Seidl Martina
family name: Martina
given name: Seidl
type: Person

Thomas Seed
family name: Seed
given name: Thomas
type: Person

HTML Summary of #81860 Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures
format: text/html
primary topic: Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures

Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: FGCS_Revised (3).pdf
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type: Document

Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures (Other)
has part: indexcodes.txt
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Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures (Other)
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Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures (Other)
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Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures (Other)
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Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures (Other)
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Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures
abstract: Self-adaptive systems are able to modify their behaviour and/or structure in response to changes that occur to the system, its environment, or even its goals. In terms of authorisation infrastructures, self-adaptation has shown to be a promising solution for enforcing access control policies and subject access privileges when mitigating insider threat. This paper describes the resilience evaluation of a self-adaptive authorisation infrastructure by simulating a case study related to insider threats. As part of this evaluation, a malicious changeload has been formally defined in order to describe scenarios of abuse in access control. This malicious changeload was then used to stimulate self-adaptation within a federated authorisation infrastructure. The evaluation confirmed the resilience of a self-adaptive authorisation infrastructure in handling abuse of access under repeatable conditions by consistently mitigating abuse under normal and high loads. The evaluation has also shown that self-adaptation had a minimal impact on the authorisation infrastructure, even when adapting authorisation policies while mitigating abuse of access.
author list: authors
status: peerReviewed
status: published
volume: 113
has version: Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures (PDF)
creator: Rogério de Lemos
date: 2020-07-01
is part of: repository
is part of: Future Generation Computer Systems
subject: QA76.76 Computer software
subject: QA 76 Software, computer programming,
has accepted: Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures (PDF)
has document: Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures (PDF)
has document: Malicious Changeload for the Resilience Evaluation of Self-adaptive Authorisation Infrastructures (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Christopher Bailey
family name: Bailey
given name: Christopher
type: Person

Rogério de Lemos
family name: de Lemos
given name: Rogério
type: Person
given name: Rogerio
name: Rogerio de Lemos
family name: De Lemos
name: Rogério De Lemos

HTML Summary of #90183 Highly interpretable hierarchical deep rule-based classifier
format: text/html
primary topic: Highly interpretable hierarchical deep rule-based classifier

Highly interpretable hierarchical deep rule-based classifier
abstract: Pioneering the traditional fuzzy rule-based (FRB) systems, deep rule-based (DRB) classifiers are able to offer both human-level performance and transparent system structure on image classification problems by integrating zero-order fuzzy rule base with a multi-layer image-processing architecture that is typical for deep learning. Nonetheless, it is frequently observed that the inner structure of DRB can become over sophisticated and not interpretable for humans when applied to large-scale, complex problems. To tackle the issue, one feasible solution is to construct a tree structural classification model by aggregating the possibly huge number of prototypes identified from data into a much smaller number of more descriptive and highly abstract ones. Therefore, in this paper, we present a novel hierarchical deep rule-based (H-DRB) approach that is capable of summarizing the less descriptive raw prototypes into highly generalized ones and self-arranging them into a hierarchical prototype-based structure according to their descriptive abilities. By doing so, H-DRB can offer high-level performance and, most importantly, full transparency and human-interpretability on various problems including large-scale ones. The proposed concept and generical principles are verified through numerical experiments based on a wide variety of popular benchmark image sets. Numerical results demonstrate that the promise of H-DRB.
author list: authors
status: peerReviewed
status: published
volume: 92
creator: Xiaowei Gu
date: 2020-07-01
is part of: repository
is part of: Applied Soft Computing
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Plamen P. Angelov
family name: Angelov
given name: Plamen P.
type: Person

HTML Summary of #80774 Towards a Quantum Software Modeling Language
format: text/html
primary topic: Towards a Quantum Software Modeling Language

Towards a Quantum Software Modeling Language (PDF)
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Towards a Quantum Software Modeling Language (Other)
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Towards a Quantum Software Modeling Language (Other)
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Towards a Quantum Software Modeling Language (Other)
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Towards a Quantum Software Modeling Language (Other)
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Towards a Quantum Software Modeling Language (Other)
has part: indexcodes.txt
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Towards a Quantum Software Modeling Language
abstract: We set down the principles behind a modeling language for quantum software. We present a minimal set of extensions to the well-known Unified Modeling Language (UML) that allows it to effectively model quantum software. These extensions are separate and independent of UML as a whole. As such they can be used to extend any other software modeling language, or as a basis for a completely new language. We argue that these extensions are both necessary and sufficient to model, abstractly, any piece of quantum software. Finally, we provide a small set of examples that showcase the effectiveness of the extension set.
author list: authors
status: peerReviewed
status: published
has version: Towards a Quantum Software Modeling Language (PDF)
creator: Carlos A Pérez-Delgado
creator: Hector G Perez-Gonzalez
date: 2020-07
is part of: repository
subject: QA 76 Software, computer programming,
has accepted: Towards a Quantum Software Modeling Language (PDF)
has document: Towards a Quantum Software Modeling Language (PDF)
has document: Towards a Quantum Software Modeling Language (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

IEEE/ACM 42nd International Conference on Software Engineering Workshops
type: Conference
type: Event

Seoul, Republic of Korea
type: SpatialThing

Hector G Perez-Gonzalez
family name: Perez-Gonzalez
given name: Hector G
type: Person

HTML Summary of #81216 Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment
format: text/html
primary topic: Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment

Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment (PDF)
license: http://creativecommons.org/licenses/by-nc/3.0/
has part: Bonkhoff Author accepted copy of 2nd Brain paper.pdf
has part: Bonkhoff Author accepted copy of 2nd Brain paper.pdf_nocoversheet
has file: Bonkhoff Author accepted copy of 2nd Brain paper.pdf
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type: Document

Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment (Other)
is index codes version of: Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment (PDF)
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Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment (Other)
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Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment (Other)
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Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment (Other)
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Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment (Other)
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Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment
abstract: Accurate predictions of motor impairment after stroke are of cardinal importance for the patient, clinician, and health care system. More than ten years ago, the proportional recovery rule was introduced by promising just that: high-fidelity predictions of recovery following stroke based only on the initially lost motor function, at least for a specific fraction of patients. However, emerging evidence suggests that this recovery rule is subject to various confounds and may apply less universally than previously assumed. Here, we systematically revisited stroke outcome predictions by applying strategies to avoid confounds and fitting hierarchical Bayesian models. We jointly analyzed n=385 post-stroke trajectories from six separate studies – one of the currently largest overall datasets of upper limb motor recovery. We addressed confounding ceiling effects by introducing a subset approach and ensured correct model estimation through synthetic data simulations. Subsequently, we used model comparisons to assess the underlying nature of recovery within our empirical recovery data. The first model comparison, relying on the conventional fraction of patients called fitters, pointed to a combination of proportional to lost function and constant recovery. Proportional to lost here describes the original notion of proportionality, indicating greater recovery in case of a more severe initial impairment. This combination explained only 32% of the variance in recovery, which is in stark contrast to previous reports of >80%. When instead analyzing the complete spectrum of subjects, fitters and non-fitters, a combination of proportional to spared function and constant recovery was favoured, implying a more significant improvement in case of more preserved function. Explained variance was at 53%. Therefore, our quantitative findings suggest that motor recovery post-stroke may exhibit some characteristics of proportionality. However, the variance explained was substantially reduced …
author list: authors
issue: 7
status: peerReviewed
status: published
volume: 143
has version: Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment (PDF)
creator: Howard Bowman
date: 2020-06-29
is part of: repository
is part of: Brain
subject: RC321 Neuroscience. Biological psychiatry. Neuropsychiatry
has accepted: Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment (PDF)
has document: Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment (PDF)
has document: Bringing Proportional Recovery into Proportion: Bayesian Modelling of Post-Stroke Motor Impairment (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Adrian Guggisberg
family name: Guggisberg
given name: Adrian
type: Person

Rachel Hawe
family name: Hawe
given name: Rachel
type: Person

Danilo Bzdok
family name: Bzdok
given name: Danilo
type: Person

Anna Bonkhoff
family name: Bonkhoff
given name: Anna
type: Person

Christian Grefkes
family name: Grefkes
given name: Christian
type: Person

Gereon Fink
family name: Fink
given name: Gereon
type: Person

Thomas M.H. Hope
family name: Hope
given name: Thomas M.H.
type: Person

Anne Rehme
family name: Rehme
given name: Anne
type: Person

Sean Dukelow
family name: Dukelow
given name: Sean
type: Person

HTML Summary of #81880 Data-flow analyses as effects and graded monads
format: text/html
primary topic: Data-flow analyses as effects and graded monads

Data-flow analyses as effects and graded monads (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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type: Document

Data-flow analyses as effects and graded monads (Other)
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Data-flow analyses as effects and graded monads (Other)
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Data-flow analyses as effects and graded monads (Other)
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Data-flow analyses as effects and graded monads (Other)
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Data-flow analyses as effects and graded monads (Other)
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Data-flow analyses as effects and graded monads
abstract: In static analysis, two frameworks have been studied extensively: monotone data-flow analysis and type-and-effect systems. Whilst both are seen as general analysis frameworks, their relationship has remained unclear. Here we show that monotone data-flow analyses can be encoded as effect systems in a uniform way, via algebras of transfer functions. This helps to answer questions about the most appropriate structure for general effect algebras, especially with regards capturing control-flow precisely. Via the perspective of capturing data-flow analyses, we show the recent suggestion of using effect quantales is not general enough as it excludes non-distributive analyses e.g., constant propagation. By rephrasing the McCarthy transformation, we then model monotone data-flow effects via graded monads. This provides a model of data-flow analyses that can be used to reason about analysis correctness at the semantic level, and to embed data-flow analyses into type systems.
author list: authors
editor list: editors
status: peerReviewed
status: published
volume: 167
has version: Data-flow analyses as effects and graded monads (PDF)
creator: Dominic Orchard
date: 2020-06-28
is part of: repository
subject: QA 9 Formal systems, logics
subject: QA 76 Software, computer programming,
has accepted: Data-flow analyses as effects and graded monads (PDF)
has document: Data-flow analyses as effects and graded monads (PDF)
has document: Data-flow analyses as effects and graded monads (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Dagstuhl
type: Organization

Andrej Ivašković
family name: Ivašković
given name: Andrej
type: Person

Zena M. Ariola
family name: Ariola
given name: Zena M.
type: Person

Alan Mycroft
family name: Mycroft
given name: Alan
type: Person

5th International Conference on Formal Structures for Computation and Deduction (FSCD 2020)
type: Collection

HTML Summary of #81040 Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization
format: text/html
primary topic: Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization

Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Santos-GECCO2020_preprint.pdf
has part: Santos-GECCO2020_preprint.pdf_nocoversheet
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type: Document

Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (Other)
is index codes version of: Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (PDF)
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Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (Other)
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Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (Other)
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Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (Other)
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Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (Other)
is version of: Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (PDF)
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type: Document

Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization
abstract: In the path planning task for autonomous mobile robots, robots should be able to plan their trajectory to leave the start position and reach the goal, safely. There are several path planning approaches for mobile robots in the literature. Ant Colony Optimization algorithms have been investigated for this problem, giving promising results. In this paper, we propose the Max-Min Ant System for Dynamic Path Planning algorithm for the exploratory path planning task for autonomous mobile robots based on topological maps. A topological map is an environment representation whose focus is the main reference points of the environment and their connections. Based on this representation, the path can be composed by a sequence of state/actions pairs, which facilitates the navigability of the path, with no need to have the information of the complete map. The proposed algorithm was evaluated in static and dynamic envi- ronments, showing promising results in both of them. Experiments in dynamic environments show the adaptability of our proposal.
author list: authors
status: peerReviewed
status: published
has version: Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (PDF)
creator: Claudio Toledo
creator: Colin G. Johnson
creator: Fernando E.B. Otero
creator: Fernando Osorio
creator: Valeria Santos
date: 2020-06-25
is part of: repository
subject: Q335 Artificial intelligence
has accepted: Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (PDF)
has document: Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (PDF)
has document: Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

Genetic and Evolutionary Computation Conference (GECCO ’20)
type: Conference
type: Event

Cancun, Mexico
type: SpatialThing

Claudio Toledo
family name: Toledo
given name: Claudio
type: Person

Colin G. Johnson
family name: Johnson
given name: Colin G.
type: Person

Fernando Osorio
family name: Osorio
given name: Fernando
type: Person

Valeria Santos
family name: Santos
given name: Valeria
type: Person

HTML Summary of #82811 Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity
format: text/html
primary topic: Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity

Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Coulborn_Frontiers_in_Human_Neuroscience_published.pdf
has part: Coulborn_Frontiers_in_Human_Neuroscience_published.pdf_nocoversheet
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Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity (Other)
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Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity (Other)
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Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity (Other)
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Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity (Other)
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Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity (Other)
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Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity
abstract: Mind-wandering is associated with switching our attention to internally directed thoughts and is by definition an intrinsic, self-generated cognitive function. Interestingly, previous research showed that it may be possible to modulate its propensity externally, with transcranial direct current stimulation (tDCS) targeting different regions in the default mode and executive control networks (ECNs). However, these studies used highly heterogeneous montages (targeting the dorsolateral prefrontal cortex (DLPFC), the right inferior parietal lobule (IPL), or both concurrently), often showed contradicting results, and in many cases failed to replicate. Our study aimed to establish whether tDCS of the default mode network (DMN), via targeting the right IPL alone, could modulate mind-wandering propensity using a within-subjects double-blind, counterbalanced design. Participants completed sustained attention to response task (SART) interspersed with thought-probes to capture their subjective reports of mind-wandering before and after receiving anodal, cathodal, or sham tDCS over the right IPL (with the reference over the left cheek). We found evidence for the lack of an effect of stimulation on subjective reports of mind-wandering (JZS-BF01 = 5.19), as well as on performance on the SART task (errors (JZS-BF01 = 6.79) and reaction time (JZS-BF01 = 5.94). Overall, we failed to replicate previous reports of successful modulations of mind-wandering propensity with tDCS over the IPL, instead of providing evidence in support of the lack of an effect. This and other recent unsuccessful replications call into question whether it is indeed possible to externally modulate spontaneous or self-generated cognitive processes.
author list: authors
status: peerReviewed
status: published
has version: Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity (PDF)
creator: Howard Bowman
date: 2020-06-18
is part of: repository
is part of: Frontiers in Human Neuroscience
has document: Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity (PDF)
has document: Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity (Other)
has published: Effect of tDCS Over the Right Inferior Parietal Lobule on Mind-Wandering Propensity (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Davinia Fernández-Espejo
family name: Fernández-Espejo
given name: Davinia
type: Person

Sean Coulborn
family name: Coulborn
given name: Sean
type: Person

Chris Miall
family name: Miall
given name: Chris
type: Person

Frontiers in Human Neuroscience
issn: 16625161
type: Collection

HTML Summary of #90815 Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis
format: text/html
primary topic: Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis

Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis
abstract: We introduce an efficient method for the verification of ReLU-based feed-forward neural networks. We derive an automated procedure that exploits dependency relations between the ReLU nodes, thereby pruning the search tree that needs to be considered by MILP-based formulations of the verification problem. We augment the resulting algorithm with methods for input domain splitting and symbolic interval propagation. We present Venus, the resulting verification toolkit, and evaluate it on the ACAS collision avoidance networks and models trained on the MNIST and CIFAR-10 datasets. The experimental results obtained indicate considerable gains over the present state-of-the-art tools.
author list: authors
issue: 04
status: peerReviewed
status: published
volume: 34
creator: Elena Botoeva
date: 2020-06-16
is part of: repository
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

https://kar.kent.ac.uk/id/event/ext-e6cb3d9a660da590d577ba98285ec8ec
title: The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020
type: Conference
type: Event

New York, USA
type: SpatialThing

AAAI Press
type: Organization

Ruth Misener
family name: Misener
given name: Ruth
type: Person

Jan Kronqvist
family name: Kronqvist
given name: Jan
type: Person

Alessio Lomuscio
family name: Lomuscio
given name: Alessio
type: Person

Panagiotis Kouvaros
family name: Kouvaros
given name: Panagiotis
type: Person

HTML Summary of #91356 Editorial: Language Representation and Learning in Cognitive and Artificial Intelligence Systems
format: text/html
primary topic: Editorial: Language Representation and Learning in Cognitive and Artificial Intelligence Systems

Editorial: Language Representation and Learning in Cognitive and Artificial Intelligence Systems
author list: authors
status: peerReviewed
status: published
volume: 7
creator: Giovanni Masala
date: 2020-06-16
is part of: repository
is part of: Frontiers in Robotics and AI
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Angelo Cangelosi
family name: Cangelosi
given name: Angelo
type: Person

Bruno Golosio
family name: Golosio
given name: Bruno
type: Person

Massimo Esposito
family name: Esposito
given name: Massimo
type: Person

HTML Summary of #81728 Breath shield for Topcon Triton
format: text/html
primary topic: Breath shield for Topcon Triton

Breath shield for Topcon Triton (PDF)
type: Document

Breath shield for Topcon Triton (Other)
is index codes version of: Breath shield for Topcon Triton (PDF)
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Breath shield for Topcon Triton (Other)
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Breath shield for Topcon Triton (Other)
is version of: Breath shield for Topcon Triton (PDF)
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ispreview thumbnail version of: Breath shield for Topcon Triton (PDF)
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Breath shield for Topcon Triton (Other)
is version of: Breath shield for Topcon Triton (PDF)
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Breath shield for Topcon Triton (Other)
is version of: Breath shield for Topcon Triton (PDF)
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Breath shield for Topcon Triton
abstract: Drawing demonstrating the breath shield design for the Topcon Triton ophthalmologist machine.
author list: authors
status: unpublished
creator: Daniel Knox
creator: Keith Greenhow
date: 2020-06-16
is part of: repository
subject: Q Science (General)
has document: Breath shield for Topcon Triton (PDF)
has document: Breath shield for Topcon Triton (Other)
has other: Breath shield for Topcon Triton (PDF)
type: Article
type: DesignEPrint
type: EPrint

Daniel Knox
family name: Knox
given name: Daniel
type: Person

Keith Greenhow
family name: Greenhow
given name: Keith
type: Person

HTML Summary of #81701 BacS: A blockchain-based access control scheme in distributed internet of things
format: text/html
primary topic: BacS: A blockchain-based access control scheme in distributed internet of things

BacS: A blockchain-based access control scheme in distributed internet of things (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

BacS: A blockchain-based access control scheme in distributed internet of things (Other)
has part: indexcodes.txt
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BacS: A blockchain-based access control scheme in distributed internet of things (Other)
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BacS: A blockchain-based access control scheme in distributed internet of things (Other)
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BacS: A blockchain-based access control scheme in distributed internet of things (Other)
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BacS: A blockchain-based access control scheme in distributed internet of things (Other)
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BacS: A blockchain-based access control scheme in distributed internet of things
abstract: Distributed Internet of Things (Distributed IoT) is a large-scale, heterogeneous, dynamic distributed architecture environment which is gradually formed based on Internet of Things (IoT) technology. In order to cope with the large number access requirements for IoT data brought by application expansion, the data of IoT devices are usually stored in the management server (DMS) of current domain, and adopt a centralized access control mechanism to user. This centrally approach can easily cause data to be tampered with and leaked. Moreover, registering different identities when user accesses different domains increases the difficulty to manage his identities. Therefore, this paper proposes a blockchain-based access control scheme called BacS for Distributed IoT. In BacS, firstly, we use account address of the node in blockchain as the identity to access DMS, redefine the access control permission of data of devices and store on blockchain. Then we design processes of authorization, authorization revocation, access control and audit in BacS. Finally, we use a lightweight symmetric encryption algorithm (SEA) to achieve privacy-preserving for Distributed IoT system. We build a credible experimental model on Ethereum private chain, results show that BacS is feasible and effective that it can achieve secure access in Distributed IoT environment while protecting privacy.
author list: authors
status: peerReviewed
status: published
has version: BacS: A blockchain-based access control scheme in distributed internet of things (PDF)
creator: Yang Lu
date: 2020-06-12
is part of: repository
is part of: Peer-to-Peer Networking and Applications
subject: TA168 Systems engineering
subject: TK5101 Telecommunications
subject: TK5105.875.I57 Internet
subject: TK5105.888 World Wide Web
subject: ZA4045 Electronic information resources
subject: ZA4450 Databases
has document: BacS: A blockchain-based access control scheme in distributed internet of things (PDF)
has document: BacS: A blockchain-based access control scheme in distributed internet of things (Other)
has published: BacS: A blockchain-based access control scheme in distributed internet of things (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

TK5101 Telecommunications
type: Concept

ZA4045 Electronic information resources
type: Concept

ZA4450 Databases
type: Concept

Liang Tan
family name: Tan
given name: Liang
type: Person

Chen He
family name: He
given name: Chen
type: Person

Na Shi
family name: Shi
given name: Na
type: Person

Junli Xu
family name: Xu
given name: Junli
type: Person

Hao Xu
family name: Xu
given name: Hao
type: Person

Ciaxia Yang
family name: Yang
given name: Ciaxia
type: Person

Yang Lu
family name: Lu
given name: Yang
type: Person

Peer-to-Peer Networking and Applications
issn: 19366442
type: Collection

HTML Summary of #80660 Behind the Mask: A Computational Study of Anonymous' Presence on Twitter
format: text/html
primary topic: Behind the Mask: A Computational Study of Anonymous' Presence on Twitter

Behind the Mask: A Computational Study of Anonymous' Presence on Twitter (PDF)
has part: ICWSM-2020-JNL.pdf
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type: Document

Behind the Mask: A Computational Study of Anonymous' Presence on Twitter (Other)
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Behind the Mask: A Computational Study of Anonymous' Presence on Twitter (Other)
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Behind the Mask: A Computational Study of Anonymous' Presence on Twitter (Other)
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Behind the Mask: A Computational Study of Anonymous' Presence on Twitter (Other)
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Behind the Mask: A Computational Study of Anonymous' Presence on Twitter (Other)
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Behind the Mask: A Computational Study of Anonymous' Presence on Twitter
abstract: The hacktivist group Anonymous is unusual in its public-facing nature. Unlike other cybercriminal groups, which rely on secrecy and privacy for protection, Anonymous is prevalent on the social media site, Twitter. In this paper we re-examine some key findings reported in previous small-scale qualitative studies of the group using a large-scale computational analysis of Anonymous' presence on Twitter. We specifically refer to reports which reject the group's claims of leaderlessness, and indicate a fracturing of the group after the arrests of prominent members in 2011-2013. In our research, we present the first attempts to use machine learning to identify and analyse the presence of a network of over 20,000 Anonymous accounts spanning from 2008-2019 on the Twitter platform. In turn, this research utilises social network analysis (SNA) and centrality measures to examine the distribution of influence within this large network, identifying the presence of a small number of highly influential accounts. Moreover, we present the first study of tweets from some of the identified key influencer accounts and, through the use of topic modelling, demonstrate a similarity in overarching subjects of discussion between these prominent accounts. These findings provide robust, quantitative evidence to support the claims of smaller-scale, qualitative studies of the Anonymous collective.
author list: authors
status: peerReviewed
status: published
has version: Behind the Mask: A Computational Study of Anonymous' Presence on Twitter (PDF)
creator: Jason R. C. Nurse
creator: Shujun Li
date: 2020-06-09
is part of: repository
subject: H Social Sciences
subject: HM Sociology
subject: QA 76 Software, computer programming,
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: Behind the Mask: A Computational Study of Anonymous' Presence on Twitter (PDF)
has document: Behind the Mask: A Computational Study of Anonymous' Presence on Twitter (PDF)
has document: Behind the Mask: A Computational Study of Anonymous' Presence on Twitter (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

14th International AAAI Conference on Web and Social Media (ICWSM)
type: Conference
type: Event

Georgia, U.S.
type: SpatialThing

Keenan Jones
family name: Jones
given name: Keenan
type: Person

HTML Summary of #82103 Proof-Producing Synthesis of CakeML from Monadic HOL Functions
format: text/html
primary topic: Proof-Producing Synthesis of CakeML from Monadic HOL Functions

Proof-Producing Synthesis of CakeML from Monadic HOL Functions (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: s10817-020-09559-8.pdf
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type: Document

Proof-Producing Synthesis of CakeML from Monadic HOL Functions (Other)
has part: indexcodes.txt
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is index codes version of: Proof-Producing Synthesis of CakeML from Monadic HOL Functions (PDF)
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Proof-Producing Synthesis of CakeML from Monadic HOL Functions (Other)
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Proof-Producing Synthesis of CakeML from Monadic HOL Functions (Other)
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Proof-Producing Synthesis of CakeML from Monadic HOL Functions (Other)
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Proof-Producing Synthesis of CakeML from Monadic HOL Functions (Other)
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Proof-Producing Synthesis of CakeML from Monadic HOL Functions
abstract: We introduce an automatic method for producing stateful ML programs together with proofs of correctness from monadic functions in HOL. Our mechanism supports references, exceptions, and I/O operations, and can generate functions manipulating local state, which can then be encapsulated for use in a pure context. We apply this approach to several non-trivial examples, including the instruction encoder and register allocator of the otherwise pure CakeML compiler, which now benefits from better runtime performance. This development has been carried out in the HOL4 theorem prover.
author list: authors
status: peerReviewed
status: published
has version: Proof-Producing Synthesis of CakeML from Monadic HOL Functions (PDF)
creator: Hrutvik Kanabar
date: 2020-06-06
is part of: repository
is part of: Journal of Automated Reasoning
subject: Q Science
subject: QA 76 Software, computer programming,
has document: Proof-Producing Synthesis of CakeML from Monadic HOL Functions (PDF)
has document: Proof-Producing Synthesis of CakeML from Monadic HOL Functions (Other)
has published: Proof-Producing Synthesis of CakeML from Monadic HOL Functions (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Son Ho
family name: Ho
given name: Son
type: Person

Yong Kiam Tan
family name: Tan
given name: Yong Kiam
type: Person

Oskar Abrahamsson
family name: Abrahamsson
given name: Oskar
type: Person

Michael Norrish
family name: Norrish
given name: Michael
type: Person

Ramana Kumar
family name: Kumar
given name: Ramana
type: Person

Magnus O. Myreen
family name: Myreen
given name: Magnus O.
type: Person

Hrutvik Kanabar
family name: Kanabar
given name: Hrutvik
type: Person

Journal of Automated Reasoning
issn: 01687433
type: Collection

HTML Summary of #80477 Minimal spiking neuron for solving multi-label classification tasks
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primary topic: Minimal spiking neuron for solving multi-label classification tasks

Minimal spiking neuron for solving multi-label classification tasks (PDF)
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Minimal spiking neuron for solving multi-label classification tasks (Other)
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Minimal spiking neuron for solving multi-label classification tasks (Other)
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Minimal spiking neuron for solving multi-label classification tasks (Other)
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Minimal spiking neuron for solving multi-label classification tasks (Other)
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is volatile version of: Minimal spiking neuron for solving multi-label classification tasks (PDF)
type: Document

Minimal spiking neuron for solving multi-label classification tasks
abstract: The Multi-Spike Tempotron (MST) is a powerful single spiking neuron model that can solve complex supervised classification tasks. While powerful, it is also internally complex, computationally expensive to evaluate, and not suitable for neuromorphic hardware. Here we aim to understand whether it is possible to simplify the MST model, while retaining its ability to learn and to process information. To this end, we introduce a family of Generalised Neuron Models (GNM) which are a special case of the Spike Response Model and much simpler and cheaper to simulate than the MST. We find that over a wide range of parameters the GNM can learn at least as well as the MST. We identify the temporal autocorrelation of the membrane potential as the single most important ingredient of the GNM which enables it to classify multiple spatio-temporal patterns. We also interpret the GNM as a chemical system, thus conceptually bridging computation by neural networks with molecular information processing. We conclude the paper by proposing alternative training approaches for the GNM including error trace learning and error backpropagation.
author list: authors
issue: 7
status: peerReviewed
status: published
volume: 32
has version: Minimal spiking neuron for solving multi-label classification tasks (PDF)
creator: Dominique Chu
creator: Jakub Fil
date: 2020-06-05
is part of: repository
is part of: Neural Computation
has document: Minimal spiking neuron for solving multi-label classification tasks (PDF)
has document: Minimal spiking neuron for solving multi-label classification tasks (Other)
has published: Minimal spiking neuron for solving multi-label classification tasks (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Jakub Fil
family name: Fil
given name: Jakub
type: Person

HTML Summary of #81278 Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains
format: text/html
primary topic: Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains

Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Cybersecurity20-Cyber-risk-at-the-edge.pdf
has part: Cybersecurity20-Cyber-risk-at-the-edge.pdf_nocoversheet
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type: Document

Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (Other)
is index codes version of: Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (PDF)
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type: Document

Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (Other)
is version of: Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (PDF)
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Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (Other)
is version of: Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (PDF)
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Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (Other)
is version of: Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (PDF)
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Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (Other)
is version of: Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (PDF)
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Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains
abstract: Digital technologies have changed the way supply chain operations are structured. In this article, we conduct systematic syntheses of literature on the impact of new technologies on supply chains and the related cyber risks. A taxonomic/cladistic approach is used for the evaluations of progress in the area of supply chain integration in the Industrial Internet of Things and Industry 4.0, with a specific focus on the mitigation of cyber risks. An analytical framework is presented, based on a critical assessment with respect to issues related to new types of cyber risk and the integration of supply chains with new technologies. This paper identifies a dynamic and self-adapting supply chain system supported with Artificial Intelligence and Machine Learning (AI/ML) and real-time intelligence for predictive cyber risk analytics. The system is integrated into a cognition engine that enables predictive cyber risk analytics with real-time intelligence from IoT networks at the edge. This enhances capacities and assist in the creation of a comprehensive understanding of the opportunities and threats that arise when edge computing nodes are deployed, and when AI/ML technologies are migrated to the periphery of IoT networks.
author list: authors
status: peerReviewed
status: published
has version: Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (PDF)
creator: Jason R. C. Nurse
date: 2020-06-02
is part of: repository
subject: H Social Sciences
subject: QA Mathematics (inc Computing science)
subject: T Technology (General)
has accepted: Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (PDF)
has document: Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (PDF)
has document: Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

SpringerOpen
type: Organization

Kevin Page
family name: Page
given name: Kevin
type: Person

La'Treall Maddox
family name: Maddox
given name: La'Treall
type: Person

Omar Santos
family name: Santos
given name: Omar
type: Person

Peter Burnap
family name: Burnap
given name: Peter
type: Person

Petar Radanliev
family name: Radanliev
given name: Petar
type: Person

Rafael Mantilla Montalvo
family name: Montalvo
given name: Rafael Mantilla
type: Person

David De Roure
family name: De Roure
given name: David
type: Person

Cybersecurity
type: Collection

HTML Summary of #82232 A robust experimental evaluation of automated multi-label classification methods
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primary topic: A robust experimental evaluation of automated multi-label classification methods

A robust experimental evaluation of automated multi-label classification methods (PDF)
has part: GECCO-2020-de-Sa.pdf
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A robust experimental evaluation of automated multi-label classification methods (Other)
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A robust experimental evaluation of automated multi-label classification methods (Other)
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A robust experimental evaluation of automated multi-label classification methods (Other)
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A robust experimental evaluation of automated multi-label classification methods (Other)
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A robust experimental evaluation of automated multi-label classification methods (Other)
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A robust experimental evaluation of automated multi-label classification methods
abstract: Automated Machine Learning (AutoML) has emerged to deal with the selection and configuration of algorithms for a given learning task. With the progression of AutoML, several effective methods were introduced, especially for traditional classification and regression problems. Apart from the AutoML success, several issues remain open. One issue, in particular, is the lack of ability of AutoML methods to deal with different types of data. Based on this scenario, this paper approaches AutoML for multi-label classification (MLC) problems. In MLC, each example can be simultaneously associated to several class labels, unlike the standard classification task, where an example is associated to just one class label. In this work, we provide a general comparison of five automated multi-label classification methods - two evolutionary methods, one Bayesian optimization method, one random search and one greedy search - on 14 datasets and three designed search spaces. Overall, we observe that the most prominent method is the one based on a canonical grammar-based genetic programming (GGP) search method, namely Auto-MEKAGGP. Auto-MEKAGGP presented the best average results in our comparison and was statistically better than all the other methods in different search spaces and evaluated measures, except when compared to the greedy search method.
author list: authors
status: peerReviewed
status: published
has version: A robust experimental evaluation of automated multi-label classification methods (PDF)
creator: Alex A. Freitas
date: 2020-06-01
is part of: repository
subject: Q335 Artificial intelligence
has accepted: A robust experimental evaluation of automated multi-label classification methods (PDF)
has document: A robust experimental evaluation of automated multi-label classification methods (PDF)
has document: A robust experimental evaluation of automated multi-label classification methods (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

2020 Genetic and Evolutionary Computation Conference (GECCO’20),
type: Conference
type: Event

Cristiano G. Pimenta
family name: Pimenta
given name: Cristiano G.
type: Person

Gisele L. Pappa
family name: Pappa
given name: Gisele L.
type: Person

Alex G. C. de Sá
family name: de Sá
given name: Alex G. C.
type: Person

Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO’20)
type: Collection

HTML Summary of #81041 A Multiobjective Optimization Approach for Market Timing
format: text/html
primary topic: A Multiobjective Optimization Approach for Market Timing

A Multiobjective Optimization Approach for Market Timing (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Mohamed-GECCO2020_preprint.pdf
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A Multiobjective Optimization Approach for Market Timing (Other)
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A Multiobjective Optimization Approach for Market Timing (Other)
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A Multiobjective Optimization Approach for Market Timing (Other)
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A Multiobjective Optimization Approach for Market Timing (Other)
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A Multiobjective Optimization Approach for Market Timing (Other)
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A Multiobjective Optimization Approach for Market Timing
abstract: The introduction of electronic exchanges was a crucial point in history as it heralded the arrival of algorithmic trading. Designers of such systems face a number of issues, one of which is deciding when to buy or sell a given security on a financial market. Although Genetic Algorithms (GA) have been the most widely used to tackle this issue, Particle Swarm Optimization (PSO) has seen much lower adoption within the domain. In two previous works, the authors adapted PSO algorithms to tackle market timing and address the shortcomings of the previous approaches both with GA and PSO. The majority of work done to date on market timing tackled it as a single objective optimization problem, which limits its suitability to live trading as designers of such strategies will realistically pursue multiple objectives such as maximizing profits, minimizing exposure to risk and using the shortest strategies to improve execution speed. In this paper, we adapt both a GA and PSO to tackle market timing as a multiobjective optimization problem and provide an in depth discussion of our results and avenues of future research.
author list: authors
status: peerReviewed
status: published
has version: A Multiobjective Optimization Approach for Market Timing (PDF)
creator: Fernando E.B. Otero
creator: Ismail Mohamed
date: 2020-06
is part of: repository
subject: Q335 Artificial intelligence
has accepted: A Multiobjective Optimization Approach for Market Timing (PDF)
has document: A Multiobjective Optimization Approach for Market Timing (PDF)
has document: A Multiobjective Optimization Approach for Market Timing (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

HTML Summary of #21936 Behavioural Subtyping in Process Algebra
format: text/html
primary topic: Behavioural Subtyping in Process Algebra

Behavioural Subtyping in Process Algebra (Other)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Behavioural_Subtyping_in_Process_Algebra.gz
has file: Behavioural_Subtyping_in_Process_Algebra.gz
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Behavioural Subtyping in Process Algebra
abstract: Subtyping relations embody a notion of substitutability, and are an important tool in formal methods. The downward simulation relation is well-known and widely used as a subtyping and refinement relation for state-based approaches, but there is no single relation which is widely accepted to be the subtyping relation for the behavioural setting; however, there are several candidate relations. Developments such as the multi-viewpoint specification method of RM-ODP encourage the use of several different formal methods in a single project. Thus, it becomes important to obtain implementations of a single notion of subtyping in several different paradigms. In this thesis, we attempt to find a process algebraic relation which corresponds to the state-based subtyping relation, downward simulation. While trying to achieve this, we define a translation between a state-based notation and a process algebra, and we uncover some of the similarities and differences between these two specification paradigms. In particular, we investigate the meaning of undefined behaviour in each setting. When a state-based specification does not define an operation, the intent is that the system's behaviour is unspecified (not well-defined) if that operation is invoked. In a process algebra with refusals semantics, however, a process is implicitly specified to refuse any action it is not specified to accept, and such a refusal constitutes well-defined behaviour. As part of our translation, we devise a method of representing the unspecified behaviour of the state-based world in a process definition. Finally, we use our translation to prove that the presence of subtyping between a pair of state-based specifications implies reduction between their LOTOS translations, but that the presence of reduction does not imply subtyping. We conclude that reduction itself does not correspond to state-based subtyping, but that any relation which does must be based on a stronger semantics than reduction, such as b…
author list: authors
degree: phd
status: nonPeerReviewed
status: unpublished
date: 2020-05-28
is part of: repository
subject: QA 76 Software, computer programming,
has document: Behavioural Subtyping in Process Algebra (Other)
has other: Behavioural Subtyping in Process Algebra (Other)
type: Article
type: Thesis
type: EPrint
type: ThesisEPrint

University of Kent at Canterbury
type: Organization

Computing Laboratory, University of Kent at Canterbury
type: Organization

C. Briscoe-Smith
family name: Briscoe-Smith
given name: C.
type: Person

HTML Summary of #81206 Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing
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primary topic: Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing

Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (PDF)
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Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (Other)
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Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (Other)
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Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (Other)
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Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (Other)
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Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (Other)
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Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (Other)
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Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (Other)
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Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (Other)
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Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (Other)
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type: Document

Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing
abstract: We explore an intensely debated problem in neuroscience, psychology and philosophy: the degree to which the “phenomenological consciousness” of the experience of a stimulus is separable from the “access consciousness” of its reportability. Specifically, it has been proposed that these two measures are dissociated from one another in one, or both directions. However, even if it was agreed that reportability and experience were doubly dissociated, the limits of dissociation logic mean we would not be able to conclusively separate the cognitive processes underlying the two. We take advantage of computational modelling and recent advances in state-trace analysis to assess this dissociation in an attentional/experiential blink paradigm. These advances in state-trace analysis make use of Bayesian statistics to quantify the evidence for and against a dissociation. Further evidence is obtained by linking our finding to a prominent model of the attentional blink – the Simultaneous Type/Serial Token model. Our results show evidence for a dissociation between experience and reportability, whereby participants appear able to encode stimuli into working memory with little, if any, conscious experience of them. This raises the possibility of a phenomenon that might be called sight-blind recall, which we discuss in the context of the current experience/reportability debate.
author list: authors
issue: 8540
status: peerReviewed
status: published
volume: 10
has version: Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (PDF)
creator: Ellis Luise Gootjes-Dreesbach
creator: Howard Bowman
creator: William Jones
date: 2020-05-22
is part of: repository
is part of: Scientific Reports
subject: BF Psychology
subject: RC321 Neuroscience. Biological psychiatry. Neuropsychiatry
has accepted: Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (PDF)
has document: Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (PDF)
has document: Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (Other)
has published: Fleeting Perceptual Experience and the Possibility of Recalling Without Seeing (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Nature Publishing Group
type: Organization

Hannah Pincham
family name: Pincham
given name: Hannah
type: Person

Ellis Luise Gootjes-Dreesbach
family name: Gootjes-Dreesbach
given name: Ellis Luise
type: Person

William Jones
family name: Jones
given name: William
type: Person
given name: William Roger
name: William Roger Jones

Scientific Reports
issn: 20452322
type: Collection
name: Scientific reports

HTML Summary of #80568 Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect
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primary topic: Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect

Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (PDF)
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Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (Other)
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Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (Other)
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Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (Other)
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Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (Other)
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Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (Other)
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Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (Other)
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Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (Other)
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Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (Other)
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Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (Other)
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Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (Other)
has part: indexcodes.txt
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is index codes version of: Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (PDF)
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is volatile version of: Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (PDF)
type: Document

Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect
abstract: Two important theories in cognitive neuroscience are predictive coding and the global workspace theory. A key research task is to understand how these two theories relate to one another, and particularly, how the brain transitions from a predictive early state to the eventual engagement of a brain-scale state (the global workspace). To address this question, we present a source-localisation of EEG responses evoked by the local-global task – an experimental paradigm that engages a predictive hierarchy, which encompasses the global workspace. The results of our source reconstruction suggest three-phases of processing. The first phase involves the sensory (here auditory) regions of the superior temporal lobe and predicts sensory regularities over a short timeframe (as per the local effect). The third phase is brain-scale, involving inferior frontal, as well as inferior and superior parietal regions; consistent with a global neuronal workspace (as per the global effect). Crucially, our analysis suggests that there is an intermediate (second) phase, involving modulatory interactions between inferior frontal and superior temporal regions. Furthermore, sedation with propofol reduces modulatory interactions in the second phase. This selective effect is consistent with a predictive coding explanation of sedation, with propofol acting on descending predictions of the precision of prediction errors; thereby constraining access to the global neuronal workspace.
author list: authors
status: peerReviewed
status: published
has version: Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (PDF)
creator: Amirali Shirazibeheshti
creator: Adrien Witon
creator: Ling Li
creator: Howard Bowman
creator: Jennifer Cooke
creator: Karl Friston
creator: Srivas Chennu
date: 2020-05-19
is part of: repository
is part of: Cerebral Cortex
subject: H Social Sciences
subject: QP Physiology (Living systems)
has document: Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (PDF)
has document: Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (Other)
has published: Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect (PDF)
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type: AcademicArticle
type: Article
type: ArticleEPrint
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QP Physiology (Living systems)
type: Concept

Alberto Aviles
family name: Aviles
given name: Alberto
type: Person

Ram Adapa
family name: Adapa
given name: Ram
type: Person

Vladimir Litvak
family name: Litvak
given name: Vladimir
type: Person

Tristan A. Bekinschtein
family name: Bekinschtein
given name: Tristan A.
type: Person

Amirali Shirazibeheshti
family name: Shirazibeheshti
given name: Amirali
type: Person

Adrien Witon
family name: Witon
given name: Adrien
type: Person
given name: Adrien J-B.
name: Adrien J-B. Witon

Jose David Lopez
family name: David Lopez
given name: Jose
type: Person

David K. Menon
family name: Menon
given name: David K.
type: Person

Jennifer Cooke
family name: Cooke
given name: Jennifer
type: Person

Karl Friston
family name: Friston
given name: Karl
type: Person
given name: Karl J.
name: Karl J. Friston

Cerebral Cortex
issn: 10473211
type: Collection

HTML Summary of #81490 Music Emotion Capture: Ethical issues around emotion-based music generation
format: text/html
primary topic: Music Emotion Capture: Ethical issues around emotion-based music generation

Music Emotion Capture: Ethical issues around emotion-based music generation (PDF)
has part: posterJordanousLangroudiLi.pdf
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Music Emotion Capture: Ethical issues around emotion-based music generation (Other)
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Music Emotion Capture: Ethical issues around emotion-based music generation (Other)
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Music Emotion Capture: Ethical issues around emotion-based music generation (Other)
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Music Emotion Capture: Ethical issues around emotion-based music generation (Other)
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Music Emotion Capture: Ethical issues around emotion-based music generation (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Music Emotion Capture: Ethical issues around emotion-based music generation (PDF)
is version of: Music Emotion Capture: Ethical issues around emotion-based music generation (PDF)
is volatile version of: Music Emotion Capture: Ethical issues around emotion-based music generation (PDF)
type: Document

Music Emotion Capture: Ethical issues around emotion-based music generation
abstract: People’s emotions are not always detectable, e.g. if a person has difficulties/lack of skills in expressing emotions, or if people are geographically separated/communicating online). Brain-computer interfaces (BCI) could enhance non-verbal communication of emotion, particularly in detecting and responding to users’ emotions e.g. music therapy, interactive software. Our pilot study Music Emotion Capture 1 detects, models and sonifies people’s emotions based on their real-time emotional state, measured by mapping EEG feedback onto a valence-arousal emotional model 2 based on [3]. Though many practical applications emerge, the work raises several ethical questions, which need careful consideration. This poster discusses these ethical issues. Are the work’s benefits (e.g. improved user experiences; music therapy; increased emotion communication abilities; enjoyable applications) important enough to justify navigating the ethical issues that arise? (e.g. privacy issues; control of representation of/reaction to users’ emotional state; consequences of detection errors; the loop of using emotion to generate music and music affecting the emotion, with the human in the process as an “intruder”). 1 Langroudi, G., Jordanous, A., & Li, L. (2018). Music Emotion Capture: emotion-based generation of music using EEG. Emotion Modelling and Detection in Social Media and Online Interaction symposium @ AISB 2018, Liverpool. 2 Paltoglou, G., & Thelwall, M. (2012). Seeing stars of valence and arousal in blog posts. IEEE Transactions on Affective Computing, 4(1) [3] Russell, J.A. (1980). ‘A circumplex model of affect’, Journal of Personality and Social Psychology, 39
author list: authors
status: nonPeerReviewed
status: published
has version: Music Emotion Capture: Ethical issues around emotion-based music generation (PDF)
creator: Anna Jordanous
creator: Ling Li
creator: George Langroudi
date: 2020-05-15
is part of: repository
subject: M Music
subject: Q180.55.M67 Research - Moral and ethical aspects
subject: Q335 Artificial intelligence
subject: QA76.76.I59 Interactive media, hypermedia
subject: QA76.87 Neural computers, neural networks
subject: QA 76 Software, computer programming,
has accepted: Music Emotion Capture: Ethical issues around emotion-based music generation (PDF)
has document: Music Emotion Capture: Ethical issues around emotion-based music generation (PDF)
has document: Music Emotion Capture: Ethical issues around emotion-based music generation (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

M Music
type: Concept

Q180.55.M67 Research - Moral and ethical aspects
type: Concept

Brain. Cognition. Emotion. Music.
type: Conference
type: Event

Canterbury, UK (online)
type: SpatialThing

HTML Summary of #90814 Formal Verification of Neural Agents in Non-deterministic Environments
format: text/html
primary topic: Formal Verification of Neural Agents in Non-deterministic Environments

Formal Verification of Neural Agents in Non-deterministic Environments
abstract: We introduce a model for agent-environment systems where the agents are implemented via feed-forward ReLU neural networks and the environment is non-deterministic. We study the verification problem of such systems against CTL properties. We show that verifying these systems against reachability properties is undecidable. We introduce a bounded fragment of CTL, show its usefulness in identifying shallow bugs in the system, and prove that the verification problem against specifications in bounded CTL is in coNEXPTIME and PSPACE-hard. We present a novel parallel algorithm for MILP-based verification of agent-environment systems, present an implementation, and report the experimental results obtained against a variant of the VerticalCAS use-case.
author list: authors
status: peerReviewed
status: published
creator: Elena Botoeva
date: 2020-05-09
is part of: repository
subject: QA 76 Software, computer programming,
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020
type: Conference
type: Event

Auckland, New Zealand
type: SpatialThing

International Foundation for Autonomous Agents and Multiagent Systems
type: Organization

Michael E. Akintunde
family name: Akintunde
given name: Michael E.
type: Person

Alessio Lomuscio
family name: Lomuscio
given name: Alessio
type: Person

Panagiotis Kouvaros
family name: Kouvaros
given name: Panagiotis
type: Person

HTML Summary of #90652 A type-theory for higher-order amortized analysis
format: text/html
primary topic: A type-theory for higher-order amortized analysis

A type-theory for higher-order amortized analysis
abstract: Verification of worst-case bounds (on the resource usage of programs) is an important problem in computer science. The usefulness of such verification depends on the precision of the underlying analysis. For precision, sometimes it is useful to consider the average cost over a sequence of operations, instead of separately considering the cost of each individual operation. This kind of an analysis is often referred to as amortized resource analysis. Typically, programs that optimize their internal state to reduce the cost of future executions benefit from such approaches. Analyzing resource usage of a standard functional (FIFO) queue implemented using two functional (LIFO) lists is a classic example of amortized analysis. In this thesis we present λamor, a type-theory for amortized resource analysis of higher-order functional programs. A typical amortized analysis works by storing a ghost state called the potential with data structures. The key idea underlying amortized analysis is to show that, the available potential with the program is sufficient to account for the resource usage of that program. Verification in λamor is based on internalizing this idea into a type theory. We achieve this by providing a general type-theoretic construct to represent potential at the level of types and then building an affine type-theory around it. With λamor we show that, type-theoretic amortized analysis can be performed using well understood concepts from sub-structural and modal type theories. Yet, it yields an extremely expressive framework which can be used for resource analysis of higher-order programs, both in a strict and lazy setting. We show embeddings of two very different styles (one based on effects and the other on coeffects) of type-theoretic resource analysis frameworks into λamor. We show that λamor is sound (using a logical relations model) and complete for cost analysis of PCF programs (using one of the embeddings). Next, we apply ideas from λamor to develop anot…
author list: authors
status: unpublished
creator: Vineet Rajani
date: 2020-05-08
is part of: repository
subject: QA 75 Electronic computers. Computer science
type: Article
type: Thesis
type: EPrint
type: ThesisEPrint

Saarland University, Saarbr\"cken, Germany
type: Organization

Faculty of Mathematics and Computer Science, Saarland University, Saarbr\"cken, Germany
type: Organization

HTML Summary of #80886 Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies
format: text/html
primary topic: Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies

Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies (PDF)
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Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies (Other)
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Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies (Other)
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Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies (Other)
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Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies (Other)
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Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies (Other)
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Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies
abstract: An emerging concern in relation to the importance of technology and social media in everyday life relates to their ability to facilitate online and offline stalking, domestic violence and escalation to homicide. However, there has been little empirical research, or policing and policy attention to this domain. This study examined the extent to which there was evidence of the role of technology and cyberstalking in domestic homicide cases based on analysis of 41 Domestic Homicide Review (DHR) documents, made available by the Home Office (UK). Three interviews were also conducted with victims or family members of domestic homicide in the UK. It aimed to develop a deeper understanding of the role of technology in facilitating these forms of victimisation to inform further development of investigative practice, risk assessment and safeguarding procedures. Key themes identified by the thematic analysis undertaken related to behavioural and psychological indicators of cyberstalking, evidence of the role of technology in escalation to homicide, and the digital capabilities of law enforcement. Overall, the results indicated that: (1) there was evidence of technology and social media playing a facilitating role in these behaviours, (2) the digital footprints of victims and perpetrators were often overlooked in police investigations and the DHR process, and (3) determining the involvement of technology in such cases is important for risk assessment and earlier intervention to prevent escalation of behaviour to domestic homicide. It also indicates the importance of further developing evidencebased approaches to preventing and responding for victims, the police and other practitioners.
author list: authors
status: peerReviewed
status: published
has version: Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies (PDF)
creator: Joanne Bryce
creator: Virginia N. L. Franqueira
date: 2020-05-04
is part of: repository
is part of: Policing and Society
has accepted: Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies (PDF)
has document: Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies (PDF)
has document: Technology, Cyberstalking and Domestic Homicide: Informing Prevention and Response Strategies (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Chris Todd
family name: Todd
given name: Chris
type: Person

Joanne Bryce
family name: Bryce
given name: Joanne
type: Person

Policing and Society
issn: 10439463
type: Collection

HTML Summary of #84635 Unifying graded and parameterised monads
format: text/html
primary topic: Unifying graded and parameterised monads

Unifying graded and parameterised monads (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Unifying graded and parameterised monads (Other)
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Unifying graded and parameterised monads (Other)
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Unifying graded and parameterised monads (Other)
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Unifying graded and parameterised monads (Other)
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Unifying graded and parameterised monads (Other)
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Unifying graded and parameterised monads
abstract: Monads are a useful tool for structuring effectful features of computation such as state, non-determinism, and continuations. In the last decade, several generalisations of monads have been suggested which provide a more fine-grained model of effects by replacing the single type constructor of a monad with an indexed family of constructors. Most notably, graded monads (indexed by a monoid) model effect systems and parameterised monads (indexed by pairs of pre- and post-conditions) model program logics. This paper studies the relationship between these two generalisations of monads via a third generalisation. This third generalisation, which we call category-graded monads, arises by generalising a view of monads as a particular special case of lax functors. A category-graded monad provides a family of functors T f indexed by morphisms f of some other category. This allows certain compositions of effects to be ruled out (in the style of a program logic) as well as an abstract description of effects (in the style of an effect system). Using this as a basis, we show how graded and parameterised monads can be unified, studying their similarities and differences along the way.
author list: authors
status: peerReviewed
status: published
has version: Unifying graded and parameterised monads (PDF)
date: 2020-05-01
is part of: repository
has document: Unifying graded and parameterised monads (PDF)
has document: Unifying graded and parameterised monads (Other)
has published: Unifying graded and parameterised monads (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Proceedings Eighth Workshop on Mathematically Structured Functional Programming, MSFP@ETAPS 2020
type: Conference
type: Event

Dublin, Ireland
type: SpatialThing

Harley Eades
family name: Eades
given name: Harley
type: Person

Philip Wadler
family name: Wadler
given name: Philip
type: Person

Dominic Orchard
family name: Orchard
given name: Dominic
type: Person

Proceedings Eighth Workshop on Mathematically Structured Functiona Programming, MSFP@ETAPS 2020, Dublin, Ireland, 25th April 2020
type: Collection

HTML Summary of #73238 Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes
format: text/html
primary topic: Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes

Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes
abstract: Biologists very often use enrichment methods based on statistical hypothesis tests to identify gene properties that are significantly over-represented in a given set of genes of interest, by comparison with a ‘background’ set of genes. These enrichment methods, although based on rigorous statistical foundations, are not always the best single option to identify patterns in biological data. In many cases, one can also use classification algorithms from the machine-learning field. Unlike enrichment methods, classification algorithms are designed to maximize measures of predictive performance and are capable of analysing combinations of gene properties, instead of one property at a time. In practice, however, the majority of studies use either enrichment or classification methods (rather than both), and there is a lack of literature discussing the pros and cons of both types of method. The goal of this paper is to compare and contrast enrichment and classification methods, offering two contributions. First, we discuss the (to some extent complementary) advantages and disadvantages of both types of methods for identifying gene properties that discriminate between gene classes. Second, we provide a set of high-level recommendations for using enrichment and classification methods. Overall, by highlighting the strengths and the weaknesses of both types of methods we argue that both should be used in bioinformatics analyses.
author list: authors
issue: 3
status: peerReviewed
status: published
volume: 21
creator: Alex A. Freitas
creator: Fabio Fabris
date: 2020-05
is part of: repository
is part of: Briefings in Bioinformatics
subject: Q Science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Daniel Palmer
family name: Palmer
given name: Daniel
type: Person

João Pedro de Magalhaes
family name: de Magalhaes
given name: João Pedro
type: Person

Briefings in Bioinformatics
issn: 14774054
type: Collection

HTML Summary of #81027 A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes
format: text/html
primary topic: A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes

A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (PDF)
has part: IEEE-TCCB-2020-Pablo-Accepted.pdf
has part: IEEE-TCCB-2020-Pablo-Accepted.pdf_nocoversheet
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type: Document

A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (Other)
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is index codes version of: A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (PDF)
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is volatile version of: A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (PDF)
type: Document

A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (Other)
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A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (Other)
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A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (Other)
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A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (Other)
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is version of: A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (PDF)
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type: Document

A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes
abstract: Understanding the ageing process is a very challenging problem for biologists. To help in this task, there has been a growing use of classification methods (from machine learning) to learn models that predict whether a gene influences the process of ageing or promotes longevity. One type of predictive feature often used for learning such classification models is Protein-Protein Interaction (PPI) features. One important property of PPI features is their uncertainty, i.e., a given feature (PPI annotation) is often associated with a confidence score, which is usually ignored by conventional classification methods. Hence, we propose the Lazy Feature Selection for Uncertain Features (LFSUF) method, which is tailored for coping with the uncertainty in PPI confidence scores. In addition, following the lazy learning paradigm, LFSUF selects features for each instance to be classified, making the feature selection process more flexible. We show that our LFSUF method achieves better predictive accuracy when compared to other feature selection methods that either do not explicitly take PPI confidence scores into account or deal with uncertainty globally rather than using a per-instance approach. Also, we interpret the results of the classification process using the features selected by LFSUF, showing that the number of selected features is significantly reduced, assisting the interpretability of the results. The datasets used in the experiments and the program code of the LFSUF method are freely available on the web at http://github.com/pablonsilva/FSforUncertainFeatureSpaces.
author list: authors
status: peerReviewed
status: published
has version: A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (PDF)
creator: Alex A. Freitas
creator: Fabio Fabris
date: 2020-04-20
is part of: repository
is part of: IEEE/ACM Transactions on Computational Biology and Bioinformatics
subject: Q Science
has accepted: A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (PDF)
has document: A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (PDF)
has document: A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti- Longevity Genes (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Alexandre Plastino
family name: Plastino
given name: Alexandre
type: Person

Pablo Nascimento Da Silva
family name: Da Silva
given name: Pablo Nascimento
type: Person

IEEE/ACM Transactions on Computational Biology and Bioinformatics
issn: 15455963
type: Collection

HTML Summary of #81881 On the unbearable lightness of FIPS 140-2 randomness tests
format: text/html
primary topic: On the unbearable lightness of FIPS 140-2 randomness tests

On the unbearable lightness of FIPS 140-2 randomness tests (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: 09069949.pdf
has part: 09069949.pdf_nocoversheet
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type: Document

On the unbearable lightness of FIPS 140-2 randomness tests (Other)
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On the unbearable lightness of FIPS 140-2 randomness tests (Other)
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On the unbearable lightness of FIPS 140-2 randomness tests (Other)
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On the unbearable lightness of FIPS 140-2 randomness tests (Other)
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On the unbearable lightness of FIPS 140-2 randomness tests (Other)
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On the unbearable lightness of FIPS 140-2 randomness tests
abstract: Random number generation is critical to many applications. Gaming, gambling, and particularly cryptography all require random numbers that are uniform and unpredictable. For testing whether supposedly random sources feature particular characteristics commonly found in random sequences, batteries of statistical tests are used. These are fundamental tools in the evaluation of random number generators and form part of the pathway to certification of secure systems implementing them. Although there have been previous studies into this subject becker2013stealthy, RNG manufacturers and vendors continue to use statistical tests known to be of dubious reliability, in their RNG verification processes. Our research shows that FIPS-140-2 cannot identify adversarial biases effectively, even very primitive ones. Concretely, this work illustrates the inability of the FIPS 140 family of tests to detect bias in three obviously flawed PRNGs. Deprecated by official standards, these tests are nevertheless still widely used, for example in hardware-level self-test schemes incorporated into the design of many True RNGs (TRNGs). They are also popular with engineers and cryptographers for quickly assessing the randomness characteristics of security primitives and protocols, and even with manufacturers aiming to market the randomness features of their products to potential customers. In the following, we present three biased-by-design RNGs to show in explicit detail how simple, glaringly obvious biases are not detected by any of the FIPS 140-2 tests. One of these RNGs is backdoored, leaking key material, while others suffer from significantly reduced unpredictability in their output sequences. To make our point even more straightforward, we show how files containing images can also fool the FIPS 140 family of tests. We end with a discussion on the security issues affecting an interesting and active project to create a randomness beacon. Their authors only tested the quality of their random…
author list: authors
status: peerReviewed
status: published
has version: On the unbearable lightness of FIPS 140-2 randomness tests (PDF)
creator: Julio C. Hernandez-Castro
date: 2020-04-17
is part of: repository
is part of: IEEE Transactions on Information Forensics and Security
has accepted: On the unbearable lightness of FIPS 140-2 randomness tests (PDF)
has document: On the unbearable lightness of FIPS 140-2 randomness tests (PDF)
has document: On the unbearable lightness of FIPS 140-2 randomness tests (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Darren Hurley-Smith
family name: Hurley-Smith
given name: Darren
type: Person

Constantinos Patsakis
family name: Patsakis
given name: Constantinos
type: Person

IEEE Transactions on Information Forensics and Security
issn: 15566013
type: Collection

HTML Summary of #80188 Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic
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primary topic: Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic

Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: tacas_with_orcid.pdf
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type: Document

Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic (Other)
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Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic (Other)
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Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic (Other)
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Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic (Other)
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Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic (Other)
has part: indexcodes.txt
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is index codes version of: Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic (PDF)
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type: Document

Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic
abstract: Much of an interpolation engine for bit-vector (BV) arithmetic can be constructed by observing that BV arithmetic can be modeled with linear integer arithmetic (LIA). Two BV formulae can thus be translated into two LIA formulae and then an interpolation engine for LIA used to derive an interpolant, albeit one expressed in LIA. The construction is completed by back-translating the LIA interpolant into a BV formula whose models coincide with those of the LIA interpolant. This paper develops a back-translation algorithm showing, for the first time, how back-translation can be universally applied, whatever the LIA interpolant. This avoids the need for deriving a BV interpolant by bit-blasting the BV formulae, as a backup process when back-translation fails. The new back-translation process relies on a novel geometric technique, called gapping, the correctness and practicality of which are demonstrated.
author list: authors
editor list: editors
status: peerReviewed
status: published
volume: 12078
has version: Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic (PDF)
creator: Andy King
date: 2020-04-17
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA Mathematics (inc Computing science)
has document: Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic (PDF)
has document: Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic (Other)
has published: Mind the Gap: Bit-vector Interpolation recast over Linear Integer Arithmetic (PDF)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

26th International Conference, TACAS 2020
type: Conference
type: Event

Takamasa Okudono
family name: Okudono
given name: Takamasa
type: Person

Armin Biere
family name: Biere
given name: Armin
type: Person

David Parker
family name: Parker
given name: David
type: Person

HTML Summary of #80999 Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things
format: text/html
primary topic: Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things

Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things (PDF)
has part: EuroUSEC-2020-Journalists-IoT-Risks.pdf
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type: Document

Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things (Other)
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Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things (Other)
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Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things (Other)
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Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things (Other)
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Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things (Other)
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Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things
abstract: Journalists have long been the targets of both physical and cyber-attacks from well-resourced adversaries. Internet of Things (IoT) devices are arguably a new avenue of threat towards journalists through both targeted and generalised cyber-physical exploitation. This study comprises three parts: First, we interviewed 11 journalists and surveyed 5 further journalists, to determine the extent to which journalists perceive threats through the IoT, particularly via consumer IoT devices. Second, we surveyed 34 cyber security experts to establish if and how lay-people can combat IoT threats. Third, we compared these findings to assess journalists' knowledge of threats, and whether their protective mechanisms would be effective against experts' depictions and predictions of IoT threats. Our results indicate that journalists generally are unaware of IoT-related risks and are not adequately protecting themselves; this considers cases where they possess IoT devices, or where they enter IoT-enabled environments (e.g., at work or home). Expert recommendations spanned both immediate and long-term mitigation methods, including practical actions that are technical and socio-political in nature. However, all proposed individual mitigation methods are likely to be short-term solutions, with 26 of 34 (76.5%) of cyber security experts responding that within the next five years it will not be possible for the public to opt-out of interaction with the IoT.
author list: authors
status: peerReviewed
status: published
has version: Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things (PDF)
creator: Jason R. C. Nurse
date: 2020-04-12
is part of: repository
subject: H Social Sciences (General)
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things (PDF)
has document: Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things (PDF)
has document: Security should be there by default: Investigating how journalists perceive and respond to risks from the Internet of Things (Other)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

5th European Workshop on Usable Security (EuroUSEC 2020)
type: Conference
type: Event

Genova, Italy
type: SpatialThing

Ivan Flechais
family name: Flechais
given name: Ivan
type: Person

Anjuli R. K. Shere
family name: Shere
given name: Anjuli R. K.
type: Person

HTML Summary of #84610 Pose Estimation from Electromyographical Data using Convolutional Neural Networks
format: text/html
primary topic: Pose Estimation from Electromyographical Data using Convolutional Neural Networks

Pose Estimation from Electromyographical Data using Convolutional Neural Networks
abstract: This work demonstrates the effectiveness of Convolutional Neural Networks in the task of pose estimation from Electromyographical (EMG) data. The Ninapro DB5 dataset was used to train the model to predict the hand pose from EMG data. The models predict the hand pose with an error rate of 4.6 for the EMG model, and 3.6 when accelerometry data is included. This shows that hand pose can be effectively estimated from EMG data, which can be enhanced with accelerometry data.
author list: authors
status: peerReviewed
status: published
creator: Colin G. Johnson
creator: Ling Li
creator: Ramaswamy Palaniappan
date: 2020-04-10
is part of: repository
is part of: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
subject: Q335 Artificial intelligence
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC)
type: Conference
type: Event

Montreal, Quebec, Canada
type: SpatialThing

Robin Ayling
family name: Ayling
given name: Robin
type: Person

Colin G. Johnson
family name: Johnson
given name: Colin G.
type: Person

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
issn: 23757477
type: Collection

HTML Summary of #79313 Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice
format: text/html
primary topic: Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice

Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (Other)
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Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (Other)
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Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (Other)
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Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (Other)
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Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (Other)
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Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
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Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (Other)
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Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (Other)
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Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (Other)
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Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (Other)
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Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (Other)
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Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice
abstract: Digital forensic practitioners are increasingly facing examinations which are both complex in nature and structure. Throughout this process, during the examination and analysis phases, the practitioner is constantly drawing logical inferences which will be reflected in the reporting of results. Therefore, it is important to expose how all the elements of an investigation fit together to allow review and scrutiny, and to support associated parties to understand the components within it. This paper proposes the use of ‘Structured Argumentation’ as a valuable and flexible ingredient of the practitioners’ thinking toolbox. It explores this approach using three case examples which allow discussion of the benefits and application of structured argumentation to real world contexts. We argue that, despite requiring a short learning curve, structured argumentation is a practical method which promotes accessibility of findings facilitating communication between technical and legal parties, peer review, logical reconstruction, jury interpretation, and error detection.
author list: authors
issue: Suppl.
status: peerReviewed
status: published
volume: 32
has version: Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (PDF)
creator: Virginia N. L. Franqueira
date: 2020-04
is part of: repository
is part of: Forensic Science International: Digital Investigation
subject: Q Science
has accepted: Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (PDF)
has document: Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (PDF)
has document: Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (Other)
has published: Towards Sound Forensic Arguments: Structured Argumentation Applied to Digital Forensics Practice (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Graeme Horsman
family name: Horsman
given name: Graeme
type: Person

Forensic Science International: Digital Investigation
issn: 17422876
type: Collection
name: Digital Investigation

HTML Summary of #81365 A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework
format: text/html
primary topic: A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework

A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework (PDF)
has part: submit-ccnc2020DCedited.pdf
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A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework (Other)
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A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework (Other)
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A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework (Other)
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A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework (Other)
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A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework (Other)
has part: indexcodes.txt
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type: Document

A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework
abstract: We present a user-centric and decentralized digital identity system that allows anyone to easily benefit from an enriched digital identity made of multi-purpose and multi-origin attributes. It increases usability by the elimination of user passwords. It also makes this digital identity highly trustworthy both for the user (in terms of privacy and sovereignty) and the service provider who requires highly certified information about the user being enrolled to and/or authenticated on its services. We built our system based on the Universal Authentication Framework specified by the FIDO Alliance and the data model proposed by the W3C Verifiable Credentials WG. The whole system has been implemented in a banking scenario.
author list: authors
status: peerReviewed
status: published
has version: A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework (PDF)
creator: Ahmad Samer Wazan
creator: Arnaud Oglaza
creator: Francois Barrere
creator: Abdelmalek Benzekri
creator: David W. Chadwick
creator: Remi Venant
creator: Romain Laborde
date: 2020-03-26
is part of: repository
is part of: 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)
subject: QA 76 Software, computer programming,
has document: A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework (PDF)
has document: A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework (Other)
has submitted: A User-Centric Identity Management Framework based on the W3C Verifiable Credentials and the FIDO Universal Authentication Framework (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)
type: Conference
type: Event

Las Vagas
type: SpatialThing

Ahmad Samer Wazan
family name: Wazan
given name: Ahmad Samer
type: Person

Arnaud Oglaza
family name: Oglaza
given name: Arnaud
type: Person

Francois Barrere
family name: Barrere
given name: Francois
type: Person

Abdelmalek Benzekri
family name: Benzekri
given name: Abdelmalek
type: Person

David W. Chadwick
family name: Chadwick
given name: David W.
type: Person

Remi Venant
family name: Venant
given name: Remi
type: Person

Romain Laborde
family name: Laborde
given name: Romain
type: Person

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)
issn: 23319860
type: Collection

HTML Summary of #80588 Bounded verification of message-passing concurrency in Go using Promela and Spin
format: text/html
primary topic: Bounded verification of message-passing concurrency in Go using Promela and Spin

Bounded verification of message-passing concurrency in Go using Promela and Spin (PDF)
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Bounded verification of message-passing concurrency in Go using Promela and Spin (Other)
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Bounded verification of message-passing concurrency in Go using Promela and Spin (Other)
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Bounded verification of message-passing concurrency in Go using Promela and Spin (Other)
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Bounded verification of message-passing concurrency in Go using Promela and Spin (Other)
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Bounded verification of message-passing concurrency in Go using Promela and Spin (Other)
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Bounded verification of message-passing concurrency in Go using Promela and Spin
abstract: This paper describes a static verification framework for the message-passing fragment of the Go programming language. Our framework extracts models that over-approximate the message-passing behaviour of a program. These models, or behavioural types, are encoded in Promela, hence can be efficiently verified with Spin. We improve on previous works by verifying programs that include communication-related parameters that are unknown at compile-time, i.e., programs that spawn a parameterised number of threads or that create channels with a parameterised capacity. These programs are checked via a bounded verification approach with bounds provided by the user.
author list: authors
status: forthcoming
status: peerReviewed
has version: Bounded verification of message-passing concurrency in Go using Promela and Spin (PDF)
creator: Julien Lange
creator: Nicolas Dilley
date: 2020-03-13
is part of: repository
subject: QA 75 Electronic computers. Computer science
has accepted: Bounded verification of message-passing concurrency in Go using Promela and Spin (PDF)
has document: Bounded verification of message-passing concurrency in Go using Promela and Spin (PDF)
has document: Bounded verification of message-passing concurrency in Go using Promela and Spin (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

12th Workshop on Programming Language Approaches to Concurrency- & Communication-cEntric Software
type: Conference
type: Event

EPTCS
type: Organization

Julien Lange
family name: Lange
given name: Julien
type: Person

Nicolas Dilley
family name: Dilley
given name: Nicolas
type: Person

PLACES 2020
type: Collection

HTML Summary of #81976 Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker
format: text/html
primary topic: Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker

Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker (PDF)
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Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker (Other)
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Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker (Other)
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Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker (Other)
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Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker (Other)
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Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker (Other)
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type: Document

Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker
abstract: The cause of a type error can be very difficult to find for the Hindley-Milner type system. Consequently many solutions have been proposed, but they are hardly used in practice. Here we propose a new solution that provides counter-factual type error messages; these messages state what types specific subexpressions in a program should have (in contrast to the types they actually have) to remove a type error. Such messages are easy-to-understand, because programers are already familiar with them. Furthermore, our solution is easy-to-implement, because it reuses an existing type checker as a subroutine. We transform an ill-typed program into a well-typed program with additional λ-bound variables. The types of these λ-bound variables yield actual and counter-factual type information. That type information plus intended types added as type annotations direct the search of the type debugger.
author list: authors
status: peerReviewed
status: published
has version: Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker (PDF)
creator: Joanna Sharrad
creator: Kanae Tsushima
creator: Olaf Chitil
date: 2020-03-08
is part of: repository
subject: QA 76 Software, computer programming,
has accepted: Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker (PDF)
has document: Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker (PDF)
has document: Type Debugging with Counter-Factual Type Error Messages Using an Existing Type Checker (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

IFL 2019: 31st Symposium on Implementation and Application of Functional Languages
type: Conference
type: Event

Singapore
type: SpatialThing

Kanae Tsushima
family name: Tsushima
given name: Kanae
type: Person

HTML Summary of #80658 An economic analysis of ransomware and its welfare consequences
format: text/html
primary topic: An economic analysis of ransomware and its welfare consequences

An economic analysis of ransomware and its welfare consequences (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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An economic analysis of ransomware and its welfare consequences (Other)
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An economic analysis of ransomware and its welfare consequences (Other)
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An economic analysis of ransomware and its welfare consequences (Other)
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An economic analysis of ransomware and its welfare consequences (Other)
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An economic analysis of ransomware and its welfare consequences (Other)
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An economic analysis of ransomware and its welfare consequences
abstract: We present in this work an economic analysis of ransomware, a relatively new form of cyber-enabled extortion. We look at how the illegal gains of the criminals will depend on the strategies they use, examining uniform pricing and price discrimination. We also explore the welfare costs to society of such strategies. In addition, we present the results of a pilot survey which demonstrate proof of concept in evaluating the costs of ransomware attacks. We discuss at each stage whether the different strategies we analyse have been encountered already in existing malware, and the likelihood of them being implemented in the future. We hope this work will provide some useful insights for predicting how ransomware may evolve in the future.
author list: authors
issue: 3
status: peerReviewed
status: published
volume: 7
has version: An economic analysis of ransomware and its welfare consequences (PDF)
creator: Julio C. Hernandez-Castro
date: 2020-03-04
is part of: repository
is part of: Royal Society Open Science
subject: Q Science
has document: An economic analysis of ransomware and its welfare consequences (PDF)
has document: An economic analysis of ransomware and its welfare consequences (Other)
has published: An economic analysis of ransomware and its welfare consequences (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Royal Society
type: Organization

E. Cartwright
family name: Cartwright
given name: E.
type: Person

A. Cartwright
family name: Cartwright
given name: A.
type: Person

Royal Society Open Science
issn: 20545703
type: Collection

HTML Summary of #80988 Human in the Loop: What is the Point of no Return?
format: text/html
primary topic: Human in the Loop: What is the Point of no Return?

Human in the Loop: What is the Point of no Return? (PDF)
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Human in the Loop: What is the Point of no Return? (Other)
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Human in the Loop: What is the Point of no Return? (Other)
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Human in the Loop: What is the Point of no Return? (Other)
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Human in the Loop: What is the Point of no Return? (Other)
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Human in the Loop: What is the Point of no Return? (Other)
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Human in the Loop: What is the Point of no Return?
abstract: The main goal of any feedback control system is essentially to remove humans from the loop. This has always been the goal in the engineering of control systems. The MAPE-K loop is the embodiment of a feedback control loop in self-adaptive software systems, but the complete removal of humans from the control loop has not been thoroughly debated. One of the reasons is that, software systems are social-technical systems, and as such, humans need to be considered right from the inception of such systems, otherwise their deployment is bound to fail. However, as software self-adaptation progresses, enabling to place higher assurances on the deployment of these systems to the point humans become dispensable, some ethical questions need to be raised. Similar questions have been raised in past when the first automatic systems became intrinsic to the industrial fabric. The difference between then and now is that then the impact was confined to portions of the society, but now the implications are much wider, if we consider, in particular, software systems that are able to change themselves. If humans are not aware of those changes, and their implications, humans cease to be in tune with the system they are operating, and inevitably accidents will ensue. The point of no return in self-adaptive software systems refers to the moment in their technical maturity when any human involvement with the operation of a system is perceived to create more harm than benefit. Confronted with this situation, software engineers need start asking themselves some basic ethical questions. Do we really need to consider humans as an integral part of self-adaptive software systems? If humans are removed from the control loop, what kind of assurances will be needed for society to accept such systems?
author list: authors
status: peerReviewed
status: published
has version: Human in the Loop: What is the Point of no Return? (PDF)
creator: Rogério de Lemos
date: 2020-03-04
is part of: repository
subject: QA 76 Software, computer programming,
has accepted: Human in the Loop: What is the Point of no Return? (PDF)
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type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2020)
type: Conference
type: Event

Seoul, South Korea
type: SpatialThing

HTML Summary of #79587 Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice
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primary topic: Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice

Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (PDF)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (Other)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (Other)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (Other)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (Other)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (Other)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (PDF)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (Other)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (Other)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (Other)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (Other)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (Other)
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Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice
abstract: Security practitioners working in Security Operations Centres (SOCs) are responsible for detecting and mitigating malicious computer-network activity. This work requires both automated tools that detect and prevent attacks, and data-presentation tools that can present pertinent network-security monitoring information to practitioners in an efficient and comprehensible manner. In recent years, advances have been made in the development of visual approaches to data presentation, with some uptake of advanced security visualization tools in SOCs. Sonification, in which data is represented as sound, is said to have potential as an approach that could work alongside existing visual data-presentation approaches to address some of the unique challenges faced by SOCs. For example, sonification has been shown to enable peripheral monitoring of processes, which could aid practitioners multitasking in busy SOCs. The perspectives of security practitioners on incorporating sonification into their actual working environments have not yet been examined, however. The aim of this paper therefore is to address this gap by exploring attitudes to using sonification in SOCs, and identifying the data-presentation approaches currently used. We report on the results of a study consisting of an online survey (N=20) and interviews (N=21) with security practitioners working in a range of different SOCs. Our contributions are (1) a refined appreciation of the contexts in which sonification could aid in SOC working practice, (2) an understanding of the areas in which sonification may not be beneficial or may even be problematic, (3) an analysis of the critical requirements for the design of sonification systems and their integration into the SOC setting, and (4) evidence of the visual data-presentation techniques currently used and identification of how sonification might work alongside and address challenges to using them. Our findings clarify insights into the potential benefits and challenges…
author list: authors
issue: 1
status: peerReviewed
status: published
volume: 6
has version: Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (PDF)
creator: Jason R. C. Nurse
date: 2020-02-28
is part of: repository
is part of: Journal of Cybersecurity
subject: QA 76 Software, computer programming,
subject: T Technology
has accepted: Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (PDF)
has document: Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (PDF)
has document: Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (Other)
has published: Data Presentation in Security Operations Centres: Exploring the Potential for Sonification to Enhance Existing Practice (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Michael Goldsmith
family name: Goldsmith
given name: Michael
type: Person

Bushra Alahmadi
family name: Alahmadi
given name: Bushra
type: Person

Sadie Creese
family name: Creese
given name: Sadie
type: Person

Louise Axon
family name: Axon
given name: Louise
type: Person

Journal of Cybersecurity
issn: 20572085
type: Collection

HTML Summary of #90182 A self‐adaptive synthetic over‐sampling technique for imbalanced classification
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primary topic: A self‐adaptive synthetic over‐sampling technique for imbalanced classification

A self‐adaptive synthetic over‐sampling technique for imbalanced classification
abstract: Traditionally, in supervised machine learning, (a significant) part of the available data (usually 50%-80%) is used for training and the rest—for validation. In many problems, however, the data are highly imbalanced in regard to different classes or does not have good coverage of the feasible data space which, in turn, creates problems in validation and usage phase. In this paper, we propose a technique for synthesizing feasible and likely data to help balance the classes as well as to boost the performance in terms of confusion matrix as well as overall. The idea, in a nutshell, is to synthesize data samples in close vicinity to the actual data samples specifically for the less represented (minority) classes. This has also implications to the so-called fairness of machine learning. In this paper, we propose a specific method for synthesizing data in a way to balance the classes and boost the performance, especially of the minority classes. It is generic and can be applied to different base algorithms, for example, support vector machines, k-nearest neighbour classifiers deep neural, rule-based classifiers, decision trees, and so forth. The results demonstrated that (a) a significantly more balanced (and fair) classification results can be achieved and (b) that the overall performance as well as the performance per class measured by confusion matrix can be boosted. In addition, this approach can be very valuable for the cases when the number of actual available labelled data is small which itself is one of the problems of the contemporary machine learning.
author list: authors
issue: 6
status: peerReviewed
status: published
volume: 35
creator: Xiaowei Gu
date: 2020-02-23
is part of: repository
is part of: International Journal of Intelligent Systems
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Plamen P. Angelov
family name: Angelov
given name: Plamen P.
type: Person

Eduardo A. Soares
family name: Soares
given name: Eduardo A.
type: Person

HTML Summary of #75895 Selective Forwarding Attack on IoT Home Security Kits
format: text/html
primary topic: Selective Forwarding Attack on IoT Home Security Kits

Selective Forwarding Attack on IoT Home Security Kits (PDF)
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Selective Forwarding Attack on IoT Home Security Kits (Other)
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Selective Forwarding Attack on IoT Home Security Kits (Other)
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Selective Forwarding Attack on IoT Home Security Kits (Other)
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Selective Forwarding Attack on IoT Home Security Kits (Other)
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Selective Forwarding Attack on IoT Home Security Kits (Other)
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Selective Forwarding Attack on IoT Home Security Kits
abstract: Efforts have been made to improve the security of the Internet of Things (IoT) devices, but there remain some vulnerabilities and misimplementations. This paper describes a new threat to home security devices in which an attacker can disable all functionality of a device, but to the device’s owner, everything still appears to be operational. We targeted home security devices because their security is critical as people may rely on them to protect their homes. In particular, we exploited a feature called “heartbeat”, which is exchanged between the devices and the cloud in order to check that the devices are still connected. Even though network traffic was encrypted, we successfully identified the heartbeats due to their fixed size and periodic nature. Thereafter, we established a man-in-the-middle attack between the device and the cloud and selectively forwarded heartbeats while filtering out other traffic. As a result, the device appears to be still connected (because the heartbeat traffic is being allowed through), while in reality the device’s functionality is disabled (because non-heartbeat traffic is being filtered out). We applied this exploit on a set of six devices, and five were found to be vulnerable. Consequently, an intruder can use this exploit to disable a home security device and break into a house without the awareness of the owner. We carried out a responsible disclosure exercise with the manufacturers of the affected devices, but the response has been limited. This shows that IoT security is still not taken completely seriously and many threats are still undiscovered. Finally, we provide some recommendations on how to detect and prevent the threats posed by insecure IoT devices, which ironically include IoT home security kits.
author list: authors
status: peerReviewed
status: published
has version: Selective Forwarding Attack on IoT Home Security Kits (PDF)
creator: Budi Arief
date: 2020-02-22
is part of: repository
is part of: Lecture Notes in Computer Science
has accepted: Selective Forwarding Attack on IoT Home Security Kits (PDF)
has document: Selective Forwarding Attack on IoT Home Security Kits (PDF)
has document: Selective Forwarding Attack on IoT Home Security Kits (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2nd International Workshop on Attacks and Defenses for Internet-of-Things (ADIoT 2019)
type: Conference
type: Event

Luxembourg City, Luxembourg,
type: SpatialThing

Ali Hariri
family name: Hariri
given name: Ali
type: Person

Nicolas Giannelos
family name: Giannelos
given name: Nicolas
type: Person

HTML Summary of #90179 Particle Swarm Optimized Autonomous Learning Fuzzy System
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primary topic: Particle Swarm Optimized Autonomous Learning Fuzzy System

Particle Swarm Optimized Autonomous Learning Fuzzy System
abstract: The antecedent and consequent parts of a first-order evolving intelligent system (EIS) determine the validity of the learning results and overall system performance. Nonetheless, the state-of-the-art techniques mostly stress on the novelty from the system identification point of view but pay less attention to the optimality of the learned parameters. Using the recently introduced autonomous learning multiple model (ALMMo) system as the implementation basis, this article introduces a particle swarm-based approach for the EIS optimization. The proposed approach is able to simultaneously optimize the antecedent and consequent parameters of ALMMo and effectively enhance the system performance by iteratively searching for optimal solutions in the problem spaces. In addition, the proposed optimization approach does not adversely influence the ``one pass'' learning ability of ALMMo. Once the optimization process is complete, ALMMo can continue to learn from new data to incorporate unseen data patterns recursively without full retraining. The experimental studies with a number of real-world benchmark problems validate the proposed concept and general principles. It is also verified that the proposed optimization approach can be applied to other types of EISs with similar operating mechanisms.
author list: authors
status: peerReviewed
status: published
creator: Xiaowei Gu
date: 2020-02-20
is part of: repository
is part of: IEEE Transactions on Cybernetics
subject: QA 75 Electronic computers. Computer science
subject: QA 76 Software, computer programming,
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Qiang Shen
family name: Shen
given name: Qiang
type: Person

Plamen P. Angelov
family name: Angelov
given name: Plamen P.
type: Person

IEEE Transactions on Cybernetics
issn: 21682267
type: Collection

HTML Summary of #70473 Hidden patterns of codon usage bias across kingdoms
format: text/html
primary topic: Hidden patterns of codon usage bias across kingdoms

Hidden patterns of codon usage bias across kingdoms (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: rsif.2019.0819.pdf
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has file: rsif.2019.0819.pdf_nocoversheet
type: Document

Hidden patterns of codon usage bias across kingdoms (Other)
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Hidden patterns of codon usage bias across kingdoms (Other)
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Hidden patterns of codon usage bias across kingdoms (Other)
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Hidden patterns of codon usage bias across kingdoms (Other)
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Hidden patterns of codon usage bias across kingdoms (Other)
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Hidden patterns of codon usage bias across kingdoms
abstract: The genetic code encodes 20 amino acids using 64 nucleotide triplets or codons. 18 of the 20 amino acids are encoded by multiple synonymous codons which are used in organismal genomes in a biased fashion. Codon bias arises because evolutionary selection favours particular nucleotide sequences over others encoding the same amino acid sequence. Despite many existing hypotheses, there is no current consensus on what the evolutionary drivers are. Using ideas from stochastic thermodynamics we derive from first principles a mathematical model describing the statistics of codon usage bias and apply it to extensive genomic data. Our main conclusions include the following findings: (1) Codon usage cannot be explained solely by selection pressures that act on the genome-wide frequency of codons, but also includes pressures that act at the level of individual genes. (2) Codon usage is not only biased in the usage frequency of nucleotide triplets but also in how they are distributed across mRNAs. (3) A new model-based measure of codon usage bias that extends existing measures by taking into account both codon frequency and codon distribution reveals distinct, amino acid specific patterns of selection in distinct branches of the tree of life.
author list: authors
issue: 163
status: peerReviewed
status: published
volume: 17
has version: Hidden patterns of codon usage bias across kingdoms (PDF)
creator: Dominique Chu
creator: de Lima-Hedayioglu Fabio
creator: Tobias von der Haar
creator: Yun Deng
date: 2020-02-19
is part of: repository
is part of: Journal of the Royal Society Interface
subject: Q Science
has document: Hidden patterns of codon usage bias across kingdoms (PDF)
has document: Hidden patterns of codon usage bias across kingdoms (Other)
has published: Hidden patterns of codon usage bias across kingdoms (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Jeremie Kalfon
family name: Kalfon
given name: Jeremie
type: Person

de Lima-Hedayioglu Fabio
family name: Fabio
given name: de Lima-Hedayioglu
type: Person

Tobias von der Haar
family name: von der Haar
given name: Tobias
type: Person

Yun Deng
family name: Deng
given name: Yun
type: Person

Journal of the Royal Society Interface
issn: 17425689
type: Collection

HTML Summary of #80313 The Art, Science, and Engineering of Programming
format: text/html
primary topic: The Art, Science, and Engineering of Programming

The Art, Science, and Engineering of Programming
EDT: Stefan Marr
editor list: editors
issue: 3
status: published
volume: 4
date: 2020-02-17
is part of: repository
is part of: The Art, Science, and Engineering of Programming
subject: QA 76 Software, computer programming,
type: Article
type: EPrint
type: EdjournalEPrint

AOSA
type: Organization

HTML Summary of #80484 Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity
format: text/html
primary topic: Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity

Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity (PDF)
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has file: CC2020_paper_9.pdf_nocoversheet
type: Document

Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity (Other)
has part: indexcodes.txt
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Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity (Other)
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Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity (Other)
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Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity (Other)
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Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity (Other)
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Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity
abstract: The purpose of this ongoing research is to better un- derstand the potential contributions that computers can play in sit- uations where people interact with computers towards creative pur- suits and goals. Past research has provided sets of definitions of dif- ferent roles that a computer plays in human-computer creative col- laboration. Thus far, we look into the advantages and limitations of having such roles. In particular, this paper contributes an analysis and categorisation of the coverage of existing role classifications for computational participants in co-creativity. This analysis is comple- mented by a comparative review of the use of roles to understand and structure creative collaboration between people only (i.e. without any computational participants involved). Our wider project investigates whether these defined sets of roles are a. adequate and b. helpful for understanding the perception of computational contributions in co-creativity, with a study planned to investigate the roles of current systems in practice. This project considers both co-creative computer systems that currently exist, and systems that could potentially exist in the future. Our goal is to reach a point where the perception of what is possible in human-computer co-creative collaboration is en- abled and boosted (but not constrained) by a definitive set of roles.
author list: authors
status: forthcoming
status: peerReviewed
has version: Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity (PDF)
creator: Anna Jordanous
date: 2020-02-12
is part of: repository
subject: Q335 Artificial intelligence
subject: QA76.9.H85 Human computer interaction
subject: QA76.76.I59 Interactive media, hypermedia
subject: QA 76 Software, computer programming,
has accepted: Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity (PDF)
has document: Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity (PDF)
has document: Role-Based Perceptions of Computer Participants in Human-Computer Co-Creativity (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

7th Computational Creativity Symposium at AISB 2020
type: Conference
type: Event

London
type: SpatialThing

AISB
type: Organization

Anna Kantosalo
family name: Kantosalo
given name: Anna
type: Person

HTML Summary of #80296 MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data
format: text/html
primary topic: MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data

MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data (Archive (ZIP))
type: Document

MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data (PDF)
type: Document

MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data (Other)
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MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data (Other)
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MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data (Other)
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MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data (Other)
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MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data (Other)
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MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data
abstract: This is a research prototype system developed using MATLAB to demonstrate the automatic detection of vehicle convoys based on ANPR (Automated Number Plate Recognition) data. It was originally developed at the University of Surrey as part of an Innovate UK funded project POLARBEAR (https://gtr.ukri.org/projects?ref=101949). The IPRs are being transferred to the University of Kent in 2020.
author list: authors
status: unpublished
creator: Haiyue Yuan
creator: Shujun Li
date: 2020-02-12
is part of: repository
subject: Q335 Artificial intelligence
subject: QA 75 Electronic computers. Computer science
subject: QA76.76 Computer software
has document: MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data (Archive (ZIP))
has document: MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data (PDF)
has document: MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data (Other)
has other: MATLAB software prototype for detecting vehicle convoys based on ANPR (Automated Number Plate Recognition) data (PDF)
type: Article
type: EPrint
type: SoftwareEPrint

NA
type: Organization

HTML Summary of #80266 All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks
format: text/html
primary topic: All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks

All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: CompSec2020.pdf
has part: CompSec2020.pdf_nocoversheet
has file: CompSec2020.pdf
has file: CompSec2020.pdf_nocoversheet
type: Document

All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks (Other)
is version of: All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks (PDF)
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All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks (Other)
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All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks (Other)
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All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks (Other)
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All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks (Other)
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type: Document

All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks
abstract: CAPTCHAs are security mechanisms that try to prevent automated abuse of computer services. Many CAPTCHAs have been proposed but most have known security flaws against advanced attacks. In order to avoid a kind of oracle attacks in which the attacker learns about ground truth labels via active interactions with the CAPTCHA service as an oracle, Kwon and Cha proposed a new CAPTCHA scheme that employ uncertainties and trap images to generate adaptive CAPTCHA challenges, which we call “Uncertainty and Trap Strengthened CAPTCHA” (UTS-CAPTCHA) in this paper. Adaptive CAPTCHA challenges are used widely (either explicitly or implicitly) but the role of such adaptive mechanisms in the security of CAPTCHAs has received little attention from researchers. In this paper we present a statistical fundamental design flaw of UTS-CAPTCHA. This flaw leaks information regarding ground truth labels of images used. Exploiting this flaw, an attacker can use the UTS-CAPTCHA service as an oracle, and perform several different statistical learning-based attacks against UTS-CAPTCHA, increasing any reasonable initial success rate up to 100% according to our theoretical estimation and experimental simulations. Based on our proposed attacks, we discuss how the fundamental idea behind our attacks may be generalized to attack other CAPTCHA schemes and propose a new principle and a number of concrete guidelines for designing new CAPTCHA schemes in the future.
author list: authors
status: peerReviewed
status: published
volume: 92
has version: All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks (PDF)
creator: Carlos Javier Hernández-Castro
creator: María D. R-Moreno
creator: Shujun Li
date: 2020-02-10
is part of: repository
is part of: Computers & Security
subject: QA 75 Electronic computers. Computer science
subject: QA 76 Software, computer programming,
subject: TK5105.875.I57 Internet
subject: TK5105.888 World Wide Web
subject: TK7882.P3 Pattern recognition systems
has accepted: All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks (PDF)
has document: All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks (PDF)
has document: All about uncertainties and traps: Statistical oracle-based attacks on a new CAPTCHA protection against oracle attacks (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Carlos Javier Hernández-Castro
family name: Hernández-Castro
given name: Carlos Javier
type: Person

María D. R-Moreno
family name: R-Moreno
given name: María D.
type: Person

HTML Summary of #90647 On the expressiveness and semantics of information flow types
format: text/html
primary topic: On the expressiveness and semantics of information flow types

On the expressiveness and semantics of information flow types
abstract: Information Flow Control (IFC) is a form of dependence analysis that tracks and prohibits dependence of public outputs on secret inputs. Such a dependence analysis is often carried out using a type system. IFC type systems can track dependence (via confidentiality labels) at varying levels of granularity. On one extreme, there are fine-grained type systems that track dependence at the level of individual values. They label individual values. On the other extreme, there are coarse-grained type systems that track dependence at the level of entire computations. These type systems do not label individual values but instead label entire sub-computations. An important foundational question is one of the relative expressiveness of these two classes of IFC type systems. In this paper we show that, despite the glaring differences in how they track dependence, the two classes of type systems are actually equally expressive. We do this by showing translations from FG, a fine-grained IFC type system derived from SLAM (In Proceedings of the ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL) (1998)), to SLIO∗, a coarse-grained IFC type system derived from HLIO (In Proceedings of the ACM SIGPLAN International Conference on Functional Programming (ICFP) (2015)), and vice-versa. The translation from SLIO∗ to FG is straightforward since FG tracks dependence at a granularity finer than SLIO∗ does. However, the translation from FG to SLIO∗ is quite involved and relies extensively on label quantification. We further examine the reason for this complexity using a slight variant of SLIO∗, called CG, to which FG can be translated more easily. As a separate, more foundational contribution we show how to extend logical relation models of information flow to languages with higher-order state. Specifically, we build world-indexed (Kripke) logical relations for FG, SLIO∗ and CG, which we use to prove these type systems sound and also to prove the translations between the…
author list: authors
issue: 1
status: peerReviewed
status: published
volume: 28
creator: Vineet Rajani
date: 2020-02-04
is part of: repository
is part of: Journal of Computer Security
subject: QA 76 Software, computer programming,
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Deepak Garg
family name: Garg
given name: Deepak
type: Person

Journal of Computer Security
issn: 18758924
type: Collection

HTML Summary of #77074 On the limits of evidence accumulation of the preconscious percept
format: text/html
primary topic: On the limits of evidence accumulation of the preconscious percept

On the limits of evidence accumulation of the preconscious percept (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Alberto_Evidence_Accum_Submitted_Draft.pdf
has part: Alberto_Evidence_Accum_Submitted_Draft.pdf_nocoversheet
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type: Document

On the limits of evidence accumulation of the preconscious percept (Other)
is index codes version of: On the limits of evidence accumulation of the preconscious percept (PDF)
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is volatile version of: On the limits of evidence accumulation of the preconscious percept (PDF)
type: Document

On the limits of evidence accumulation of the preconscious percept (Other)
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type: Document

On the limits of evidence accumulation of the preconscious percept (Other)
is version of: On the limits of evidence accumulation of the preconscious percept (PDF)
is volatile version of: On the limits of evidence accumulation of the preconscious percept (PDF)
ispreview thumbnail version of: On the limits of evidence accumulation of the preconscious percept (PDF)
type: Document

On the limits of evidence accumulation of the preconscious percept (Other)
is version of: On the limits of evidence accumulation of the preconscious percept (PDF)
is volatile version of: On the limits of evidence accumulation of the preconscious percept (PDF)
ismedium thumbnail version of: On the limits of evidence accumulation of the preconscious percept (PDF)
type: Document

On the limits of evidence accumulation of the preconscious percept (Other)
is version of: On the limits of evidence accumulation of the preconscious percept (PDF)
is volatile version of: On the limits of evidence accumulation of the preconscious percept (PDF)
issmall thumbnail version of: On the limits of evidence accumulation of the preconscious percept (PDF)
type: Document

On the limits of evidence accumulation of the preconscious percept
abstract: When a stimulus is repeated the memory representation for that stimulus is strengthened and performance in memory tests increases. To what extent this effect requires that each exposure elicits a fully-fledged conscious percept? In two Rapid Serial Visual Presentation (RSVP) experiments we explored whether the memory representations for words would accumulate evidence trough repeated exposure when none of those presentations induced a conscious percept. Participants were instructed to identify repeated items inserted in different RSVP streams and we isolated the first instance that an item was consciously perceived as repeating. The results showed that the probability of detecting a repetition for the first time was constant across repetitions. This effect signals a limit to the evidence accumulation process through repeated exposure. We discuss whether conscious perception modulates the decay of memory representations with below-threshold items resulting in extremely fleeting memory representations.
author list: authors
status: peerReviewed
status: published
volume: 195
has version: On the limits of evidence accumulation of the preconscious percept (PDF)
creator: Howard Bowman
date: 2020-02
is part of: repository
is part of: Cognition
subject: RC321 Neuroscience. Biological psychiatry. Neuropsychiatry
has accepted: On the limits of evidence accumulation of the preconscious percept (PDF)
has document: On the limits of evidence accumulation of the preconscious percept (PDF)
has document: On the limits of evidence accumulation of the preconscious percept (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Brad Wyble
family name: Wyble
given name: Brad
type: Person

Alberto Aviles
family name: Aviles
given name: Alberto
type: Person

Cognition
issn: 00100277
type: Collection

HTML Summary of #80213 Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach
format: text/html
primary topic: Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach

Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: 08972601.pdf
has part: 08972601.pdf_nocoversheet
has file: 08972601.pdf
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type: Document

Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (PDF)
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is volatile version of: Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (PDF)
type: Document

Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (Other)
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type: Document

Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (Other)
has part: preview.jpg
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type: Document

Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (Other)
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type: Document

Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (Other)
has part: small.jpg
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is version of: Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (PDF)
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type: Document

Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach
abstract: Hierarchical fuzzy systems (HFSs) have been shown to have the potential to improve the interpretability of fuzzy logic systems (FLSs). However, challenges remain, such as: "How can we measure their interpretability?", "How can we make an informed assessment of how HFSs should be designed to enhance interpretability?". The challenges of measuring the interpretability of HFSs include issues such as their topological structure, the number of layers, the meaning of intermediate variables, and so on. In this paper, an initial framework to measure the interpretability of HFSs is proposed, combined with a participatory user design process to create a specific instance of the framework for an application context. This approach enables the subjective views of a range of practitioners, experts in the design and creation of FLSs, to be taken into account in shaping the design of a generic framework for measuring interpretability in HFSs. This design process and framework are demonstrated through two classification application examples, showing the ability of the resulting index to appropriately capture interpretability as perceived by system design experts.
author list: authors
status: peerReviewed
status: published
has version: Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (PDF)
creator: Daniele Soria
date: 2020-01-28
is part of: repository
is part of: IEEE Transactions on Fuzzy Systems
subject: T Technology
has document: Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (PDF)
has document: Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (Other)
has published: Towards a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Amir Pourabdollah
family name: Pourabdollah
given name: Amir
type: Person

Tajul Rosli Razak
family name: Razak
given name: Tajul Rosli
type: Person

Jonathan M. Garibaldi
family name: Garibaldi
given name: Jonathan M.
type: Person

Christian Wagner
family name: Wagner
given name: Christian
type: Person

HTML Summary of #75746 Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs)
format: text/html
primary topic: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs)

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
has part: phishcatch2019.pdf
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has file: phishcatch2019.pdf
has file: phishcatch2019.pdf_nocoversheet
type: Document

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (Other)
is index codes version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
is version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
is volatile version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
type: Document

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (Other)
is version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
is volatile version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
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type: Document

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (Other)
is version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
is volatile version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
ispreview thumbnail version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
type: Document

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (Other)
is version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
is volatile version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
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type: Document

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (Other)
is version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
is volatile version of: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
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type: Document

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs)
abstract: The emergence of online services in our daily lives has been accompanied by a range of malicious attempts to trick individuals into performing undesired actions, often to the benefit of the adversary. The most popular medium of these attempts is phishing attacks, particularly through emails and websites. In order to defend against such attacks, there is an urgent need for automated mechanisms to identify this malevolent content before it reaches users. Machine learning techniques have gradually become the standard for such classification problems. However, identifying common measurable features of phishing content (e.g., in emails) is notoriously difficult. To address this problem, we engage in a novel study into a phishing content classifier based on a recurrent neural network (RNN), which identifies such features without human input. At this stage, we scope our research to emails, but our approach can be extended to apply to websites. Our results show that the proposed system outperforms state-of-the-art tools. Furthermore, our classifier is efficient and takes into account only the text and, in particular, the textual structure of the email. Since these features are rarely considered in email classification, we argue that our classifier can complement existing classifiers with high information gain.
author list: authors
status: peerReviewed
status: published
volume: 11897
has version: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
creator: Jason R. C. Nurse
date: 2020-01-25
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
has document: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (PDF)
has document: Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs) (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

20th World Conference on Information Security Applications (WISA 2019)
type: Conference
type: Event

Jeju Island, South Korea
type: SpatialThing

Ioannis Agrafiotis
family name: Agrafiotis
given name: Ioannis
type: Person

Lukas Halgas
family name: Halgas
given name: Lukas
type: Person

HTML Summary of #79402 Creative Autonomy in a Simple Interactive Music System
format: text/html
primary topic: Creative Autonomy in a Simple Interactive Music System

Creative Autonomy in a Simple Interactive Music System (XML Word Processing Document (DOCX))
type: Document

Creative Autonomy in a Simple Interactive Music System (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Creative Autonomy in a Simple Interactive Music System (XML Word Processing Document (DOCX))
is version of: Creative Autonomy in a Simple Interactive Music System (XML Word Processing Document (DOCX))
is volatile version of: Creative Autonomy in a Simple Interactive Music System (XML Word Processing Document (DOCX))
type: Document

Creative Autonomy in a Simple Interactive Music System (PDF)
has part: Creative_Autonomy_in_a_Simple_Interactive_Music_System (1).pdf
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type: Document

Creative Autonomy in a Simple Interactive Music System (Other)
is index codes version of: Creative Autonomy in a Simple Interactive Music System (PDF)
is version of: Creative Autonomy in a Simple Interactive Music System (PDF)
is volatile version of: Creative Autonomy in a Simple Interactive Music System (PDF)
type: Document

Creative Autonomy in a Simple Interactive Music System (Other)
is version of: Creative Autonomy in a Simple Interactive Music System (PDF)
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Creative Autonomy in a Simple Interactive Music System (Other)
is version of: Creative Autonomy in a Simple Interactive Music System (PDF)
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ispreview thumbnail version of: Creative Autonomy in a Simple Interactive Music System (PDF)
type: Document

Creative Autonomy in a Simple Interactive Music System (Other)
is version of: Creative Autonomy in a Simple Interactive Music System (PDF)
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Creative Autonomy in a Simple Interactive Music System (Other)
is version of: Creative Autonomy in a Simple Interactive Music System (PDF)
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Creative Autonomy in a Simple Interactive Music System
abstract: Interactive music systems always exhibit an amount of autonomy in the creative process. The capacity to generate material that is primary, contextual and novel to the outcome is proposed here as the bare minimum for creative autonomy in these systems. Assumptions are evaluated using Video Interactive VST Orchestra, a system that generates music through sound processing in interplay with a user. The system accepts audio and video live inputs — a camera and a microphone that capture the interplay of a musician, typically. Mapping of the variance in the musician’s physical motion to the sound processing allows identifying salience in the interaction and the system as autonomous. A case study is presented to provide evidence of creative autonomy in this simple, yet highly effective system.
author list: authors
issue: 2
status: peerReviewed
status: published
volume: 49
has version: Creative Autonomy in a Simple Interactive Music System (XML Word Processing Document (DOCX))
has version: Creative Autonomy in a Simple Interactive Music System (PDF)
creator: Colin G. Johnson
creator: Fabio Paolizzo
date: 2020-01-21
is part of: repository
is part of: Journal of New Music Research
subject: M Music
subject: QA 76 Software, computer programming,
has accepted: Creative Autonomy in a Simple Interactive Music System (XML Word Processing Document (DOCX))
has accepted: Creative Autonomy in a Simple Interactive Music System (PDF)
has document: Creative Autonomy in a Simple Interactive Music System (XML Word Processing Document (DOCX))
has document: Creative Autonomy in a Simple Interactive Music System (Other)
has document: Creative Autonomy in a Simple Interactive Music System (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Fabio Paolizzo
family name: Paolizzo
given name: Fabio
type: Person

Journal of New Music Research
issn: 09298215
type: Collection

HTML Summary of #79945 Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More?
format: text/html
primary topic: Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More?

Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: EAIETSS2020.pdf
has part: EAIETSS2020.pdf_nocoversheet
has file: EAIETSS2020.pdf
has file: EAIETSS2020.pdf_nocoversheet
type: Document

Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (Other)
has part: indexcodes.txt
has file: indexcodes.txt
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type: Document

Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (Other)
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Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (Other)
has part: preview.jpg
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Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (Other)
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Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (Other)
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Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More?
abstract: Proactive password checkers have been widely used to persuade users to select stronger passwords by providing machine-generated strength ratings of passwords. If such ratings do not match human-generated ratings of human users, there can be a loss of trust in PPCs. In order to study the effectiveness of PPCs, it would be useful to investigate how human users perceive such machine- and human-generated ratings in terms of their trust, which has been rarely studied in the literature. To fill this gap, we report a large-scale crowdsourcing study with over 1,000 workers. The participants were asked to choose which of the two ratings they trusted more. The passwords were selected based on a survey of over 100 human password experts. The results revealed that participants exhibited four distinct behavioral patterns when the passwords were hidden, and many changed their behaviors significantly after the passwords were disclosed, suggesting their reported trust was influenced by their own judgments.
author list: authors
issue: e1
status: peerReviewed
status: published
volume: 18
has version: Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (PDF)
creator: Haiyue Yuan
creator: Patrice Rusconi
creator: Saeed Ibrahim Alqahtani
creator: Shujun Li
date: 2020-01-20
is part of: repository
is part of: EAI Endorsed Transactions on Security and Safety
subject: BF Psychology
subject: QA 75 Electronic computers. Computer science
subject: QA76.9.H85 Human computer interaction
has document: Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (PDF)
has document: Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (Other)
has published: Human-Generated and Machine-Generated Ratings of Password Strength: What Do Users Trust More? (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

EAI
type: Organization

Saeed Ibrahim Alqahtani
family name: Alqahtani
given name: Saeed Ibrahim
type: Person

EAI Endorsed Transactions on Security and Safety
issn: 20329393
type: Collection

HTML Summary of #79330 An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results
format: text/html
primary topic: An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results

An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: Theor-Comp-Sci-J-2019-Xavier-unformatted.pdf
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has file: Theor-Comp-Sci-J-2019-Xavier-unformatted.pdf_nocoversheet
type: Document

An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (Other)
is index codes version of: An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (PDF)
is version of: An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (PDF)
is volatile version of: An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (PDF)
type: Document

An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (Other)
is version of: An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (PDF)
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type: Document

An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (Other)
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type: Document

An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (Other)
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type: Document

An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (Other)
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is volatile version of: An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (PDF)
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type: Document

An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results
abstract: A large number of classification algorithms have been proposed in the machine learning literature. These algorithms have different pros and cons, and no algorithm is the best for all datasets. Hence, a challenging problem consists of choosing the best classification algorithm with its best hyper-parameter settings for a given input dataset. In the last few years, Automated Machine Learning (Auto-ML) has emerged as a promising approach for tackling this problem, by doing a heuristic search in a large space of candidate classification algorithms and their hyper-parameter settings. In this work we propose an improved version of our previous Evolutionary Algorithm (EA) – more precisely, an Estimation of Distribution Algorithm – for the Auto-ML task of automatically selecting the best classifier ensemble and its best hyper-parameter settings for an input dataset. The new version of this EA was compared against its previous version, as well as against a random forest algorithm (a strong ensemble algorithm) and a version of the well-known Auto-ML method Auto-WEKA adapted to search in the same space of classifier ensembles as the proposed EA. In general, in experiments with 21 datasets, the new EA version obtained the best results among all methods in terms of four popular predictive accuracy measures: error rate, precision, recall and F-measure.
author list: authors
status: peerReviewed
status: published
volume: 805
has version: An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (PDF)
creator: Alex A. Freitas
date: 2020-01-18
is part of: repository
is part of: Theoretical Computer Science
subject: Q335 Artificial intelligence
has accepted: An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (PDF)
has document: An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (PDF)
has document: An evolutionary algorithm for automated machine learning focusing on classifier ensembles: an improved algorithm and extended results (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Antonio Feitosa-Neto
family name: Feitosa-Neto
given name: Antonio
type: Person

Teresa B. Ludermir
family name: Ludermir
given name: Teresa B.
type: Person

João C. Xavier-Junior
family name: Xavier-Junior
given name: João C.
type: Person

Cephas A.S. Barreto
family name: Barreto
given name: Cephas A.S.
type: Person

Theoretical Computer Science
issn: 03043975
type: Collection

HTML Summary of #80303 Know Your Customer: Opening a new bank account online using UAAF
format: text/html
primary topic: Know Your Customer: Opening a new bank account online using UAAF

Know Your Customer: Opening a new bank account online using UAAF (PDF)
has part: KYC - CCNC2020.pdf
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Know Your Customer: Opening a new bank account online using UAAF (Other)
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type: Document

Know Your Customer: Opening a new bank account online using UAAF (Other)
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Know Your Customer: Opening a new bank account online using UAAF (Other)
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Know Your Customer: Opening a new bank account online using UAAF (Other)
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Know Your Customer: Opening a new bank account online using UAAF (Other)
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Know Your Customer: Opening a new bank account online using UAAF
abstract: Universal Authentication and Authorization Framework is a user-centric, privacy by design and decentralized system that allows anyone to easily benefit from a reliable digital identity made of multi-purpose and multi-origin attributes. In this article, we present the implementation of this framework in the context of online banking. We demonstrate how it can facilitate enforcing Know Your Customer when opening a new bank account online by allowing users to combine verifiable identity attributes issued by different organizations.
author list: authors
status: peerReviewed
status: published
has version: Know Your Customer: Opening a new bank account online using UAAF (PDF)
creator: Ahmad Samer Wazan
creator: Arnaud Oglaza
creator: Francois Barrere
creator: Abdelmalek Benzekri
creator: David W. Chadwick
creator: Remi Venant
creator: Romain Laborde
date: 2020-01-10
is part of: repository
is part of: 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)
subject: QA76.76 Computer software
has accepted: Know Your Customer: Opening a new bank account online using UAAF (PDF)
has document: Know Your Customer: Opening a new bank account online using UAAF (PDF)
has document: Know Your Customer: Opening a new bank account online using UAAF (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)
issn: 23319852
type: Collection

HTML Summary of #76648 From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues
format: text/html
primary topic: From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues

From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Other)
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is version of: From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (PDF)
is volatile version of: From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (PDF)
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From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Other)
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From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Other)
has part: preview.jpg
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From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Other)
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From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Other)
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From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Other)
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From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Other)
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From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Other)
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From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Other)
is version of: From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Image (PNG))
is volatile version of: From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Image (PNG))
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type: Document

From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues
abstract: In today's highly connected cyber-physical world, people are constantly disclosing personal and sensitive data to different organizations and other people through the use of online and physical services. Such data disclosure activities can lead to unexpected privacy issues. However, there is a general lack of tools that help to improve users' awareness of such privacy issues and to make more informed decisions on their data disclosure activities in wider contexts. To fill this gap, this paper presents a novel user-centric, data-flow graph based semantic model, which can show how a given user's personal and sensitive data are disclosed to different entities and how different types of privacy issues can emerge from such data disclosure activities. The model enables both manual and automatic analysis of privacy issues, therefore laying the theoretical foundation of building data-driven and user-centric software tools for people to better manage their data disclosure activities in the cyber-physical world.
author list: authors
status: peerReviewed
status: published
has version: From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (PDF)
creator: Shujun Li
creator: Yang Lu
date: 2020-01-10
is part of: repository
subject: HF5351 Business
subject: QA 9 Formal systems, logics
subject: QA 75 Electronic computers. Computer science
subject: QA 76 Software, computer programming,
has accepted: From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (PDF)
has document: From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (PDF)
has document: From Data Flows to Privacy Issues: A User-Centric Semantic Model for Representing and Discovering Privacy Issues (Other)
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type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

HICSS 2020 (53rd Hawaii International Conference on System Sciences)
type: Conference
type: Event

Hawaii, USA
type: SpatialThing

University of Hawaii at Manoa
type: Organization

Scholar Space
type: Collection

HTML Summary of #79403 Future developments in standardisation of cyber risk in the Internet of Things (IoT)
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primary topic: Future developments in standardisation of cyber risk in the Internet of Things (IoT)

Future developments in standardisation of cyber risk in the Internet of Things (IoT) (PDF)
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Future developments in standardisation of cyber risk in the Internet of Things (IoT) (Other)
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Future developments in standardisation of cyber risk in the Internet of Things (IoT) (Other)
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Future developments in standardisation of cyber risk in the Internet of Things (IoT) (Other)
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Future developments in standardisation of cyber risk in the Internet of Things (IoT) (Other)
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Future developments in standardisation of cyber risk in the Internet of Things (IoT) (Other)
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Future developments in standardisation of cyber risk in the Internet of Things (IoT)
abstract: In this research article, we explore the use of a design process for adapting existing cyber risk assessment standards to allow the calculation of economic impact from IoT cyber risk. The paper presents a new model that includes a design process with new risk assessment vectors, specific for IoT cyber risk. To design new risk assessment vectors for IoT, the study applied a range of methodologies, including literature review, empirical study and comparative study, followed by theoretical analysis and grounded theory. An epistemological framework emerges from applying the constructivist grounded theory methodology to draw on knowledge from existing cyber risk frameworks, models and methodologies. This framework presents the current gaps in cyber risk standards and policies, and defines the design principles of future cyber risk impact assessment. The core contribution of the article therefore, being the presentation of a new model for impact assessment of IoT cyber risk.
author list: authors
status: peerReviewed
status: published
volume: 2
has version: Future developments in standardisation of cyber risk in the Internet of Things (IoT) (PDF)
creator: Jason R. C. Nurse
date: 2020-01-08
is part of: repository
is part of: SN Applied Sciences
subject: QA Mathematics (inc Computing science)
subject: T Technology
has accepted: Future developments in standardisation of cyber risk in the Internet of Things (IoT) (PDF)
has document: Future developments in standardisation of cyber risk in the Internet of Things (IoT) (PDF)
has document: Future developments in standardisation of cyber risk in the Internet of Things (IoT) (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

La'Treall Madox
family name: Madox
given name: La'Treall
type: Person

Omar Santos
family name: Santos
given name: Omar
type: Person

Peter Burnap
family name: Burnap
given name: Peter
type: Person

Rafael Mantilla Montalvo
family name: Montalvo
given name: Rafael Mantilla
type: Person

Carsten Maple
family name: Maple
given name: Carsten
type: Person

David De Roure
family name: De Roure
given name: David
type: Person

Petar Radanliev
family name: Radanliev
given name: Petar
type: Person

Stacy Cannady
family name: Cannady
given name: Stacy
type: Person

SN Applied Sciences
issn: 25233971
type: Collection

HTML Summary of #79931 Analysing the overfit of the auto-sklearn automated machine learning tool.
format: text/html
primary topic: Analysing the overfit of the auto-sklearn automated machine learning tool.

Analysing the overfit of the auto-sklearn automated machine learning tool.
abstract: With the ever-increasing number of pre-processing and classification algorithms, manually selecting the best algorithm and their best hyper-parameter settings (i.e. the best classification workflow) is a daunting task. Automated Machine Learning (Auto-ML) methods have been recently proposed to tackle this issue. Auto-ML tools aim to automatically choose the best classification workflow for a given dataset. In this work we analyse the predictive accuracy and overfit of the state-of-the-art auto-sklearn tool, which iteratively builds a classification ensemble optimised for the user’s dataset. This work has 3 contributions. First, we measure 3 types of auto-sklearn’s overfit, involving the differences of predictive accuracies measured on different data subsets: two parts of the training set (for learning and internal validation of the model) and the hold-out test set used for final evaluation. Second, we analyse the distribution of types of classification models selected by auto-sklearn across all 17 datasets. Third, we measure correlations between predictive accuracies on different data subsets and different types of overfitting. Overall, substantial degrees of overfitting were found in several datasets, and decision tree ensembles were the most frequently selected types of models.
author list: authors
status: peerReviewed
status: published
creator: Alex A. Freitas
date: 2020-01-03
is part of: repository
subject: Q335 Artificial intelligence
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

5th International Conference on Machine Learning, Optimization and Data Science (LOD 2019)
type: Conference

Fabio Fabris
family name: Fabris
given name: Fabio
type: Person

Lecture Notes in Computer Science 11943
type: Collection

HTML Summary of #77167 Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions
format: text/html
primary topic: Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions

Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (PDF)
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Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (PDF)
type: Document

Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (Other)
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Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (Other)
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Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (Other)
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Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (Other)
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Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (Other)
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Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (Other)
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Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (Other)
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Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (Other)
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Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (Other)
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Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (Other)
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type: Document

Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions
abstract: Vehicular ad-hoc network (VANET) and internet-of-vehicles (IoV) are complex networks which provide a unique platform for vehicles to communicate and exchange critical information (such as collision avoidance warnings) with each other in an intelligent manner. Thus, the information disseminated in the network should be authentic and originated from legitimate vehicles. Creating a trusted environment in the network can enable the vehicles to identify and revoke malicious ones. Trust is an important concept in VANET and IoV to achieve security in the network, where every vehicle equipped with an appropriate trust model can evaluate the trustworthiness of the received information and its sender. This chapter discusses trust in both VANET and IoV and identifies various trust models developed for VANET and IoV. The contribution of this chapter is threefold. First, the authors present a detailed taxonomy of trust models in VANET and IoV. Second, they provide current trends in the domain of trust management specifically for VANET and IoV, and finally, they provide various open research directions.
author list: authors
status: peerReviewed
status: published
has version: Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (PDF)
creator: Asma Adnane
creator: Farhan Ahmad
creator: Fatih Kurugollu
creator: Virginia N. L. Franqueira
date: 2020-01
is part of: repository
has document: Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (PDF)
has document: Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (Other)
has published: Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (PDF)
has supplemental: Trust Management in Vehicular Ad-Hoc Networks and Internet-of-Vehicles: Current Trends and Future Research Directions (PDF)
type: Article
type: BookSection
type: BookSectionEPrint
type: EPrint

IGI Global
type: Organization

Asma Adnane
family name: Adnane
given name: Asma
type: Person

Chaker Abdelaziz Kerrache
family name: Kerrache
given name: Chaker Abdelaziz
type: Person

Farhan Ahmad
family name: Ahmad
given name: Farhan
type: Person

Fatih Kurugollu
family name: Kurugollu
given name: Fatih
type: Person

HTML Summary of #80445 Using Eyetracker to Find Ways to Mitigate Ransomware
format: text/html
primary topic: Using Eyetracker to Find Ways to Mitigate Ransomware

Using Eyetracker to Find Ways to Mitigate Ransomware (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: ICISSP_2020_48_CR.pdf
has part: ICISSP_2020_48_CR.pdf_nocoversheet
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has file: ICISSP_2020_48_CR.pdf_nocoversheet
type: Document

Using Eyetracker to Find Ways to Mitigate Ransomware (Other)
is index codes version of: Using Eyetracker to Find Ways to Mitigate Ransomware (PDF)
is version of: Using Eyetracker to Find Ways to Mitigate Ransomware (PDF)
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type: Document

Using Eyetracker to Find Ways to Mitigate Ransomware (Other)
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type: Document

Using Eyetracker to Find Ways to Mitigate Ransomware (Other)
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Using Eyetracker to Find Ways to Mitigate Ransomware (Other)
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Using Eyetracker to Find Ways to Mitigate Ransomware (Other)
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type: Document

Using Eyetracker to Find Ways to Mitigate Ransomware (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: ICISSP_2020_48.pdf
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type: Document

Using Eyetracker to Find Ways to Mitigate Ransomware (Other)
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Using Eyetracker to Find Ways to Mitigate Ransomware (Other)
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Using Eyetracker to Find Ways to Mitigate Ransomware (Other)
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Using Eyetracker to Find Ways to Mitigate Ransomware (Other)
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Using Eyetracker to Find Ways to Mitigate Ransomware (Other)
has part: indexcodes.txt
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is volatile version of: Using Eyetracker to Find Ways to Mitigate Ransomware (PDF)
type: Document

Using Eyetracker to Find Ways to Mitigate Ransomware
abstract: Ransomware is a form of malware designed to prevent access to data by either locking out the victims from their system or encrypting some or all of their files until a ransom has been paid to the attacker. Victims would know that they had been hit by ransomware because a ransom demand (splash screen) would be displayed on their compromised device. This study aims to identify key user interface features of ransomware splash screens and see how these features affect victims’ likelihood to pay, and how this information may be used to create more effective countermeasures to mitigate the threat of ransomware. We devised an experiment that contained three broad types of splash screens (Text, Time-Sensitive Counter, and Other). A total of nine splash screens were shown to each participant, from which data on the participants’ eye behaviour were collected. After each splash screen, participants were also asked a set of questions that would help describe their experience and be cross-referenced with the eye tracking data to aid analysis. Our experiment collected quantitative eye tracker data and qualitative data regarding willingness to pay from 25 participants. Several key components of the splash screens such as the text, logo, images, and technical information were analysed. Comments from the participants on whether they would pay the ransom or not, and the reasons behind their decision were also recorded. We found that there is no clear indication that one type of splash screen would have a higher chance of success with regard to ransom payment. Our study revealed that there are some characteristics in splash screens that would strongly discourage some victims from paying. Further investigation will be carried out in this direction, in order to design and develop more effective countermeasures to ransomware.
author list: authors
status: peerReviewed
status: published
has version: Using Eyetracker to Find Ways to Mitigate Ransomware (PDF)
creator: Budi Arief
creator: Julio C. Hernandez-Castro
date: 2020
is part of: repository
subject: QA 75 Electronic computers. Computer science
has accepted: Using Eyetracker to Find Ways to Mitigate Ransomware (PDF)
has document: Using Eyetracker to Find Ways to Mitigate Ransomware (PDF)
has document: Using Eyetracker to Find Ways to Mitigate Ransomware (Other)
has published: Using Eyetracker to Find Ways to Mitigate Ransomware (PDF)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

6th International Conference on Information Systems Security and Privacy (ICISSP)
type: Conference
type: Event

Valletta, Malta
type: SpatialThing

Scitepress
type: Organization

Andy Periam
family name: Periam
given name: Andy
type: Person

Orcun Cetin
family name: Cetin
given name: Orcun
type: Person

HTML Summary of #75949 Applications of Genetic Programming to Finance and Economics: Past, Present, Future
format: text/html
primary topic: Applications of Genetic Programming to Finance and Economics: Past, Present, Future

Applications of Genetic Programming to Finance and Economics: Past, Present, Future (PDF)
has part: GPEM2018-Revised.pdf
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type: Document

Applications of Genetic Programming to Finance and Economics: Past, Present, Future (Other)
is index codes version of: Applications of Genetic Programming to Finance and Economics: Past, Present, Future (PDF)
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Applications of Genetic Programming to Finance and Economics: Past, Present, Future (Other)
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Applications of Genetic Programming to Finance and Economics: Past, Present, Future (Other)
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Applications of Genetic Programming to Finance and Economics: Past, Present, Future (Other)
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Applications of Genetic Programming to Finance and Economics: Past, Present, Future (Other)
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Applications of Genetic Programming to Finance and Economics: Past, Present, Future
abstract: While the origins of Genetic Programming (GP) stretch back over fifty years, the field of GP was invigorated by John Koza’s popularisation of the methodology in the 1990s. A particular feature of the GP literature since then has been a strong interest in the application of GP to real-world problem domains. One application domain which has attracted significant attention is that of finance and economics, with several hundred papers from this subfield being listed in the Genetic Programming Bibliography. In this article we outline why finance and economics has been a popular application area for GP and briefly indicate the wide span of this work. However, despite this research effort there is relatively scant evidence of the usage of GP by the mainstream finance community in academia or industry. We speculate why this may be the case, describe what is needed to make this research more relevant from a finance perspective, and suggest some future directions for the application of GP in finance and economics.
author list: authors
issue: 1-2
status: peerReviewed
status: published
volume: 21
has version: Applications of Genetic Programming to Finance and Economics: Past, Present, Future (PDF)
creator: Michael Kampouridis
date: 2020
is part of: repository
is part of: Genetic Programming and Evolvable Machines
has accepted: Applications of Genetic Programming to Finance and Economics: Past, Present, Future (PDF)
has document: Applications of Genetic Programming to Finance and Economics: Past, Present, Future (PDF)
has document: Applications of Genetic Programming to Finance and Economics: Past, Present, Future (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Anthony Brabazon
family name: Brabazon
given name: Anthony
type: Person

Michael O’Neill
family name: O’Neill
given name: Michael
type: Person

Genetic Programming and Evolvable Machines
issn: 13892576
type: Collection

HTML Summary of #84806 I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data
format: text/html
primary topic: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data

I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
has part: NBR_author_accepted_version.pdf
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type: Document

I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (Other)
is index codes version of: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
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type: Document

I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (Other)
is version of: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
is volatile version of: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
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type: Document

I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (Other)
is version of: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
is volatile version of: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
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type: Document

I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (Other)
is version of: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
is volatile version of: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
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type: Document

I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (Other)
is version of: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
is volatile version of: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
issmall thumbnail version of: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
type: Document

I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data
abstract: Machine learning has enhanced the abilities of neuroscientists to interpret information collected through EEG, fMRI, and MEG data. With these powerful techniques comes the danger of overfitting of hyperparameters which can render results invalid. We refer to this problem as ‘overhyping’ and show that it is pernicious despite commonly used precautions. Overhyping occurs when analysis decisions are made after observing analysis outcomes and can produce results that are partially or even completely spurious. It is commonly assumed that cross-validation is an effective protection against overfitting or overhyping, but this is not actually true. In this article, we show that spurious results can be obtained on random data by modifying hyperparameters in seemingly innocuous ways, despite the use of cross-validation. We recommend a number of techniques for limiting overhyping, such as lock boxes, blind analyses, pre-registrations, and nested cross-validation. These techniques, are common in other fields that use machine learning, including computer science and physics. Adopting similar safeguards is critical for ensuring the robustness of machine-learning techniques in the neurosciences.
author list: authors
status: peerReviewed
status: published
volume: 119
has version: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
creator: Howard Bowman
creator: Mahan Hosseini
date: 2020
is part of: repository
is part of: Neuroscience & Biobehavioral Reviews
subject: Q Science
has accepted: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
has document: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (PDF)
has document: I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Chloe Callahan-Flintoft
family name: Callahan-Flintoft
given name: Chloe
type: Person

John Collins
family name: Collins
given name: John
type: Person

William Jones
family name: Jones
given name: William
type: Person

Brad Wyble
family name: Wyble
given name: Brad
type: Person

Michael Powell
family name: Powell
given name: Michael
type: Person

Mahan Hosseini
family name: Hosseini
given name: Mahan
type: Person

Neuroscience & Biobehavioral Reviews
issn: 01497634
type: Collection

HTML Summary of #81957 Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators
format: text/html
primary topic: Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators

Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (PDF)
type: Document

Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (Other)
is index codes version of: Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (PDF)
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Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (Other)
is version of: Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (PDF)
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Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (Other)
is version of: Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (PDF)
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Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (Other)
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Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (Other)
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Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (PDF)
has part: Quantum_Leap_TOPS_Submission_FINAL.pdf
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Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (Other)
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Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (Other)
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Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (Other)
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Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (Other)
has part: small.jpg
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Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (Other)
has part: indexcodes.txt
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is index codes version of: Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (PDF)
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is volatile version of: Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (PDF)
type: Document

Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators
abstract: Random numbers are essential for cryptography and scientific simulation. Generating truly random numbers for cryptography can be a slow and expensive process. Quantum physics offers a variety of promising solutions to this challenge, proposing sources of entropy that may be genuinely unpredictable, based on the inherent randomness of certain physical phenomena. These properties have been employed to design Quantum Random Number Generators (QRNGs), some of which are commercially available. In this work, we present the first published analysis of the Quantis family of QRNGs (excluding AIS-31 models), designed and manufactured by ID Quantique (IDQ). Our study also includes Comscire’s PQ32MU QRNG, and two online services: the Australian National University’s (ANU) QRNG, and the Humboldt Physik generator. Each QRNG is analysed using five batteries of statistical tests: Dieharder, National Institute of Standards and Technology (NIST) SP800-22, Ent, Tuftests and TestU01, as part of our thorough examination of their output. Our analysis highlights issues with current certification schemes, which largely rely on NIST SP800-22 and Diehard tests of randomness. We find that more recent tests of randomness identify issues in the output of QRNG, highlighting the need for mandatory post-processing even for low-security usage of random numbers sourced from QRNGs.
author list: authors
issue: 3
status: peerReviewed
status: published
volume: 23
has version: Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (PDF)
creator: Julio C. Hernandez-Castro
date: 2020
is part of: repository
is part of: ACM Transactions on Privacy and Security
subject: QA 75 Electronic computers. Computer science
subject: QA 76 Software, computer programming,
has accepted: Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (PDF)
has document: Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (PDF)
has document: Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (Other)
has published: Quantum Leap and Crash: Searching and Finding Bias in Quantum Random Number Generators (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Darren Hurley-Smith
family name: Hurley-Smith
given name: Darren
type: Person

ACM Transactions on Privacy and Security
issn: 24712566
type: Collection

HTML Summary of #75276 Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification
format: text/html
primary topic: Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification

Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: 10.1007_s00034-019-01203-0.pdf
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type: Document

Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification (Other)
has part: indexcodes.txt
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Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification (Other)
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Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification (Other)
has part: preview.jpg
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Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification (Other)
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Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification (Other)
has part: small.jpg
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Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification
abstract: This paper explores the use of three different two-dimensional time-frequency features for audio event classification with deep neural network back-end classifiers. The evaluations use spectrogram, cochleogram and constant-Q transform based images for classification of 50 classes of audio events in varying levels of acoustic background noise, revealing interesting performance patterns with respect to noise level, feature image type and classifier. Evidence is obtained that two well-performing features, the spectrogram and cochleogram, make use of information that is potentially complementary in the input features. Feature fusion is thus explored for each pair of features, as well as for all tested features. Results indicate that a fusion of spectrogram and cochleogram information is particularly beneficial, yielding an impressive 50-class accuracy of over 96% in 0dB SNR, and exceeding 99% accuracy in 10dB SNR and above. Meanwhile the cochleogram image feature is found to perform well in extreme noise cases of -5dB and -10dB SNR.
author list: authors
status: peerReviewed
status: published
volume: 39
has version: Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification (PDF)
creator: Huy Phan
creator: I. McLoughlin
creator: Ramaswamy Palaniappan
creator: Zhi-Peng Xie
date: 2020
is part of: repository
is part of: Circuits, Systems, and Signal Processing
subject: T Technology
has document: Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification (PDF)
has document: Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification (Other)
has published: Time-Frequency Feature Fusion for Noise-Robust Audio Event Classification (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Yan Song
family name: Song
given name: Yan
type: Person

Zhi-Peng Xie
family name: Xie
given name: Zhi-Peng
type: Person

Circuits, Systems, and Signal Processing
issn: 0278081X
type: Collection

HTML Summary of #77646 A New Time–Frequency Attention Tensor Network for Language Identification
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A New Time–Frequency Attention Tensor Network for Language Identification (PDF)
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A New Time–Frequency Attention Tensor Network for Language Identification (Other)
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A New Time–Frequency Attention Tensor Network for Language Identification (Other)
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A New Time–Frequency Attention Tensor Network for Language Identification (Other)
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A New Time–Frequency Attention Tensor Network for Language Identification (Other)
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A New Time–Frequency Attention Tensor Network for Language Identification (Other)
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A New Time–Frequency Attention Tensor Network for Language Identification (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: Miao2019_Article_ANewTimeFrequencyAttentionTens.pdf
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A New Time–Frequency Attention Tensor Network for Language Identification (Other)
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A New Time–Frequency Attention Tensor Network for Language Identification (Other)
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A New Time–Frequency Attention Tensor Network for Language Identification (Other)
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A New Time–Frequency Attention Tensor Network for Language Identification (Other)
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A New Time–Frequency Attention Tensor Network for Language Identification (Other)
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A New Time–Frequency Attention Tensor Network for Language Identification
abstract: In this paper, we aim to improve traditional DNN x-vector language identification (LID) performance by employing Wide Residual Networks (WRN) as a powerful feature extractor which we combine with a novel frequency attention network (F-ATN). Compared with conventional time attention, our method learns discriminative weights for different frequency bands to generate weighted means and standard deviations for utterance-level classification. This mechanism enables the architecture to direct attention to important frequency bands rather than important time frames, as in traditional time attention (T-ATN) methods. Furthermore, we then introduce a cross-layer frequency attention tensor network (CLF-ATN) which exploits information from different layers to recapture frame-level language characteristics that have been dropped by aggressive frequency pooling in lower layers. This effectively restores fine-grained discriminative language details. Finally, we explore the joint fusion of frame-level and frequency-band attention in a time-frequency attention network (TF-ATN). Experimental results show firstly that WRN can significantly outperform a traditional DNN x-vector implementation. Secondly, the proposed frequency attention method is more effective than time attention and thirdly that frequency-time score fusion can yield further improvement. Finally, extensive experiments on CLF-ATN demonstrate that it is able to improve discrimination by regaining dropped fine-grained frequency information, particularly for low dimension frequency features.
author list: authors
status: peerReviewed
status: published
volume: 39
has version: A New Time–Frequency Attention Tensor Network for Language Identification (PDF)
creator: I. McLoughlin
creator: Xiaoxiao Miao
date: 2020
is part of: repository
is part of: Circuits, Systems, and Signal Processing
subject: T Technology
has accepted: A New Time–Frequency Attention Tensor Network for Language Identification (PDF)
has document: A New Time–Frequency Attention Tensor Network for Language Identification (PDF)
has document: A New Time–Frequency Attention Tensor Network for Language Identification (Other)
has published: A New Time–Frequency Attention Tensor Network for Language Identification (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Yonghong Yan
family name: Yan
given name: Yonghong
type: Person

Xiaoxiao Miao
family name: Miao
given name: Xiaoxiao
type: Person

HTML Summary of #81430 Modular Relaxed Dependencies in Weak Memory Concurrency
format: text/html
primary topic: Modular Relaxed Dependencies in Weak Memory Concurrency

Modular Relaxed Dependencies in Weak Memory Concurrency
abstract: We present a denotational semantics for weak memory concurrency that avoids thin-air reads, provides data-race free programs with sequentially consistent semantics (DRF-SC), and supports a compositional refinement relation for validating optimisations. Our semantics identifies false program dependencies that might be removed by compiler optimisation, and leaves in place just the dependencies necessary to rule out thin-air reads. We show that our dependency calculation can be used to rule out thin-air reads in any axiomatic concurrency model, in particular C++. We present a tool that automatically evaluates litmus tests, show that we can augment C++ to fix the thin-air problem, and we prove that our augmentation is compatible with the previously used compilation mappings over key processor architectures. We argue that our dependency calculation offers a practical route to fixing the longstanding problem of thin-air reads in the C++ specification.
author list: authors
status: peerReviewed
status: published
volume: 12075
creator: Mark Batty
creator: Scott Owens
date: 2020
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA 75 Electronic computers. Computer science
subject: QA 76 Software, computer programming,
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

29th European Symposium on Programming, ESOP 2020
type: Conference
type: Event

Marco Paviotti
family name: Paviotti
given name: Marco
type: Person

Anouk Paradis
family name: Paradis
given name: Anouk
type: Person

Simon Cooksey
family name: Cooksey
given name: Simon
type: Person

Daniel Wright
family name: Wright
given name: Daniel
type: Person

Mark Batty
family name: Batty
given name: Mark
type: Person

Scott Owens
family name: Owens
given name: Scott
type: Person

HTML Summary of #81591 Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition
format: text/html
primary topic: Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition

Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition (PDF)
license: http://creativecommons.org/licenses/by-nc/3.0/
has part: Wyble Ragnaroc Author Accepted Copy.pdf
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Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition (Other)
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Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition (Other)
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Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition (Other)
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Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition (Other)
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Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition (Other)
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Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition
abstract: A quintessential challenge for any perceptual system is the need to focus on task-relevant information without being blindsided by unexpected, yet important information. The human visual system incorporates several solutions to this challenge, one of which is a reflexive covert attention system that is rapidly responsive to both the physical salience and the task-relevance of new information. This paper presents a model that simulates behavioral and neural correlates of reflexive attention as the product of brief neural attractor states that are formed across the visual hierarchy when attention is engaged. Such attractors emerge from an attentional gradient distributed over a population of topographically organized neurons and serve to focus processing at one or more locations in the visual field, while inhibiting the processing of lower priority information. The model moves towards a resolution of key debates about the nature of reflexive attention, such as whether it is parallel or serial, and whether suppression effects are distributed in a spatial surround, or selectively at the location of distractors. Most importantly, the model develops a framework for understanding the neural mechanisms of visual attention as a spatiotopic decision process within a hierarchy and links them to observable correlates such as accuracy, reaction time, and the N2pc and PD components of the EEG. This last contribution is the most crucial for repairing the disconnect that exists between our understanding of behavioral and neural correlates of attention.
author list: authors
issue: 6
status: peerReviewed
status: published
volume: 127
has version: Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition (PDF)
creator: Howard Bowman
date: 2020
is part of: repository
is part of: Psychological Review
subject: BF41 Psychology and philosophy
subject: Q335 Artificial intelligence
has accepted: Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition (PDF)
has document: Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition (PDF)
has document: Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

American Psychological Association
type: Organization

Hui Chen
family name: Chen
given name: Hui
type: Person

Chloe Callahan-Flintoft
family name: Callahan-Flintoft
given name: Chloe
type: Person

Brad Wyble
family name: Wyble
given name: Brad
type: Person

Aakash Sarkar
family name: Sarkar
given name: Aakash
type: Person

Toma Marinov
family name: Marinov
given name: Toma
type: Person

Psychological Review
issn: 0033295X
type: Collection

HTML Summary of #79481 Factors Affecting the Adoption of Peer Instruction in Computing Courses
format: text/html
primary topic: Factors Affecting the Adoption of Peer Instruction in Computing Courses

Factors Affecting the Adoption of Peer Instruction in Computing Courses (PDF)
has part: CompEd2019-WG3-Report-final(1).pdf
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Factors Affecting the Adoption of Peer Instruction in Computing Courses (Other)
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Factors Affecting the Adoption of Peer Instruction in Computing Courses (Other)
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Factors Affecting the Adoption of Peer Instruction in Computing Courses (Other)
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Factors Affecting the Adoption of Peer Instruction in Computing Courses (Other)
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Factors Affecting the Adoption of Peer Instruction in Computing Courses (Other)
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Factors Affecting the Adoption of Peer Instruction in Computing Courses
abstract: Peer Instruction (PI) as defined by Mazur, and variations on this pedagogic technique, have been in use in computing courses for about a decade. Despite dozens of educational research publications documenting positive learning effects, improved retention, student acceptance, and effectiveness for large classes; PI does not appear to be widely adopted for computing courses. This paper reports on a three-way investigation into this apparent contradiction. First, the authors reflect on their own adoption, practice, experience, and abandonment of the use of PI in computing courses. Second, we surveyed the literature regarding the use of PI in computing courses and present a summary of the research findings, variations, and extensions to PI used in computing courses. Third, a survey of computing instructors was conducted to gauge the attitude toward PI in computing courses. To add context, this report considers publications documenting usage of PI in STEM courses, and the adoption of other pedagogic techniques in computing. Particular effort was made to identify the reasons computing instructors don’t adopt PI. This report also includes advice to instructors considering adopting PI in computing courses.
author list: authors
status: peerReviewed
status: published
has version: Factors Affecting the Adoption of Peer Instruction in Computing Courses (PDF)
creator: Dennis Bouvier
creator: Ellie Lovellette
creator: Jacqueline Chetty
creator: John Matta
creator: Jing Bai
creator: Jia Wan
creator: Stanislav Kurkovsky
date: 2019-12-31
is part of: repository
subject: LB2300 Higher Education
has accepted: Factors Affecting the Adoption of Peer Instruction in Computing Courses (PDF)
has document: Factors Affecting the Adoption of Peer Instruction in Computing Courses (PDF)
has document: Factors Affecting the Adoption of Peer Instruction in Computing Courses (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

LB2300 Higher Education
type: Concept

CompEd '19: ACM Global Computing Education Conference 2019
type: Conference

Association of Computing Machinery
type: Organization

Dennis Bouvier
family name: Bouvier
given name: Dennis
type: Person

Ellie Lovellette
family name: Lovellette
given name: Ellie
type: Person

Jacqueline Chetty
family name: Chetty
given name: Jacqueline
type: Person

John Matta
family name: Matta
given name: John
type: Person

Jing Bai
family name: Bai
given name: Jing
type: Person

Jia Wan
family name: Wan
given name: Jia
type: Person

Stanislav Kurkovsky
family name: Kurkovsky
given name: Stanislav
type: Person

HTML Summary of #80304 Improved Identity Management with Verifiable Credentials and FIDO
format: text/html
primary topic: Improved Identity Management with Verifiable Credentials and FIDO

Improved Identity Management with Verifiable Credentials and FIDO (PDF)
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Improved Identity Management with Verifiable Credentials and FIDO (Other)
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Improved Identity Management with Verifiable Credentials and FIDO (Other)
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Improved Identity Management with Verifiable Credentials and FIDO (Other)
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Improved Identity Management with Verifiable Credentials and FIDO (Other)
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Improved Identity Management with Verifiable Credentials and FIDO (Other)
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Improved Identity Management with Verifiable Credentials and FIDO
abstract: We describe how FIDO and W3C VCs can overcome the problems of existing identity management systems. We describe our conceptual model and architecture, and the protocol we used by extending FIDO’s UAF in order to provide both strong authentication and strong authorization. We built a pilot implementation for U.K. NHS patients to validate our implementation. Patients were able to use a mobile phone with a fingerprint reader to access restricted NHS sites in order to make and cancel appointments and order repeat prescription drugs. Our initial user trials with 10 U.K. NHS patients found the system to be easy to use, and fingerprints to be preferable to using usernames and passwords for authentication.
author list: authors
issue: 4
status: peerReviewed
status: published
volume: 3
has version: Improved Identity Management with Verifiable Credentials and FIDO (PDF)
creator: Ahmad Samer Wazan
creator: Arnaud Oglaza
creator: David W. Chadwick
creator: Manreet Nijjar
creator: Remi Venant
creator: Romain Laborde
date: 2019-12-31
is part of: repository
is part of: IEEE Communications Standards
subject: QA76.76 Computer software
has accepted: Improved Identity Management with Verifiable Credentials and FIDO (PDF)
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has document: Improved Identity Management with Verifiable Credentials and FIDO (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Manreet Nijjar
family name: Nijjar
given name: Manreet
type: Person

IEEE Communications Standards
issn: 24712825
type: Collection

HTML Summary of #79932 Using deep learning to associate human genes with age-related diseases
format: text/html
primary topic: Using deep learning to associate human genes with age-related diseases

Using deep learning to associate human genes with age-related diseases (PDF)
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Using deep learning to associate human genes with age-related diseases (Other)
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Using deep learning to associate human genes with age-related diseases (Other)
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Using deep learning to associate human genes with age-related diseases (Other)
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Using deep learning to associate human genes with age-related diseases (Other)
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Using deep learning to associate human genes with age-related diseases (Other)
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Using deep learning to associate human genes with age-related diseases (PDF)
license: http://creativecommons.org/licenses/by/3.0/
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Using deep learning to associate human genes with age-related diseases (Other)
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Using deep learning to associate human genes with age-related diseases (Other)
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Using deep learning to associate human genes with age-related diseases (Other)
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Using deep learning to associate human genes with age-related diseases (Other)
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Using deep learning to associate human genes with age-related diseases (Other)
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type: Document

Using deep learning to associate human genes with age-related diseases
abstract: Motivation: One way to identify genes possibly associated with ageing is to build a classification model (from the machine learning field) capable of classifying genes as associated with multiple age-related diseases. To build this model, we use a pre-compiled list of human genes associated with age-related diseases and apply a novel Deep Neural Network (DNN) method to find associations between gene descriptors (e.g. Gene Ontology terms, protein–protein interaction data and biological pathway information) and age-related diseases. Results: The novelty of our new DNN method is its modular architecture, which has the capability of combining several sources of biological data to predict which ageing-related diseases a gene is associated with (if any). Our DNN method achieves better predictive performance than standard DNN approaches, a Gradient Boosted Tree classifier (a strong baseline method) and a Logistic Regression classifier. Given the DNN model produced by our method, we use two approaches to identify human genes that are not known to be associated with age-related diseases according to our dataset. First, we investigate genes that are close to other disease-associated genes in a complex multi-dimensional feature space learned by the DNN algorithm. Second, using the class label probabilities output by our DNN approach, we identify genes with a high probability of being associated with age-related diseases according to the model. We provide evidence of these putative associations retrieved from the DNN model with literature support. The source code and datasets can be found at: https://github.com/fabiofabris/Bioinfo2019.
author list: authors
issue: 7
status: peerReviewed
status: published
volume: 36
has version: Using deep learning to associate human genes with age-related diseases (PDF)
creator: Alex A. Freitas
creator: Khalid M. Salama
date: 2019-12-17
is part of: repository
is part of: Bioinformatics
subject: Q335 Artificial intelligence
has accepted: Using deep learning to associate human genes with age-related diseases (PDF)
has document: Using deep learning to associate human genes with age-related diseases (PDF)
has document: Using deep learning to associate human genes with age-related diseases (Other)
has published: Using deep learning to associate human genes with age-related diseases (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Fabio Fabris
family name: Fabris
given name: Fabio
type: Person

Daniel Palmer
family name: Palmer
given name: Daniel
type: Person

Joao Pedro de Magalhaes
family name: de Magalhaes
given name: Joao Pedro
type: Person

Khalid M. Salama
family name: Salama
given name: Khalid M.
type: Person

Bioinformatics
issn: 13674803
type: Collection

HTML Summary of #79517 Segmenting travelers based on responses to nudging for information disclosure
format: text/html
primary topic: Segmenting travelers based on responses to nudging for information disclosure

Segmenting travelers based on responses to nudging for information disclosure (PDF)
license: http://creativecommons.org/licenses/by-nc-nd/3.0/
type: Document

Segmenting travelers based on responses to nudging for information disclosure (Other)
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Segmenting travelers based on responses to nudging for information disclosure (Other)
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Segmenting travelers based on responses to nudging for information disclosure (Other)
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Segmenting travelers based on responses to nudging for information disclosure (Other)
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Segmenting travelers based on responses to nudging for information disclosure (Other)
has part: indexcodes.txt
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is index codes version of: Segmenting travelers based on responses to nudging for information disclosure (PDF)
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type: Document

Segmenting travelers based on responses to nudging for information disclosure
abstract: Digital technologies shape travel environments. Noticing online privacy issues, consumers can hold distinct attitudes towards disclosing personal information to service providers. We conducted a panel survey to gauge travelers’ willingness to share personal information with service providers, provided with different types of nudges. Based on the results of clustering analysis, two segments were identified: travelers who are reasonably willing to share (Privacy Rationalists) and those who are reluctant to share (Privacy Pessimists). This study provides empirical evidence of privacy segmentations in the travel context, which has not been reported before and thus deserves more attention from both researchers and practitioners.
author list: authors
issue: 3
status: peerReviewed
status: published
volume: 17
has version: Segmenting travelers based on responses to nudging for information disclosure (PDF)
creator: Athina Ioannou
creator: Iis Tussyadiah
creator: Shujun Li
creator: Yang Lu
date: 2019-12-13
is part of: repository
is part of: e-Review of Tourism Research
subject: BF Psychology
subject: QA 75 Electronic computers. Computer science
subject: TK5105.875.I57 Internet
subject: TK5105.888 World Wide Web
has document: Segmenting travelers based on responses to nudging for information disclosure (PDF)
has document: Segmenting travelers based on responses to nudging for information disclosure (Other)
has published: Segmenting travelers based on responses to nudging for information disclosure (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

e-Review of Tourism Research
type: Organization

e-Review of Tourism Research
issn: 19415842
type: Collection

HTML Summary of #90191 A hierarchical prototype-based approach for classification
format: text/html
primary topic: A hierarchical prototype-based approach for classification

A hierarchical prototype-based approach for classification
abstract: In this paper, a novel hierarchical prototype-based approach for classification is proposed. This approach is able to perceive the data space and derive the multimodal distributions from streaming data at different levels of granularity in an online manner, based on which it further identifies meaningful prototypes to self-organize and self-evolve its hierarchical structure for classification. Thanks to the prototype-based nature, the system structure of the proposed classifier is highly transparent, and its learning process is of “one pass” type and computationally lean. Its decision-making process follows the “nearest prototype” principle and is fully explainable. The proposed approach is capable of presenting the learned knowledge from data in an easy-to-interpret prototype-based hierarchical form to users, and is an attractive tool for solving large-scale, complex real-world problems. Numerical examples based on various benchmark problems justify the validity and effectiveness of the proposed concept and general principles.
author list: authors
status: peerReviewed
status: published
volume: 505
creator: Xiaowei Gu
date: 2019-12-01
is part of: repository
is part of: Information Sciences
subject: QA 75 Electronic computers. Computer science
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Weiping Ding
family name: Ding
given name: Weiping
type: Person

HTML Summary of #77232 Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control
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primary topic: Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control

Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control (PDF)
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Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control (Other)
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Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control (Other)
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Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control (Other)
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Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control (Other)
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Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control (Other)
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type: Document

Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control
abstract: We address the problem of engineering a sociotechnical system (STS) with respect to its stakeholders’ requirements. We motivate a two-tier STS conception comprising a technical tier that provides control mechanisms and describes what actions are allowed by the software components, and a social tier that characterizes the stakeholders’ expectations of each other in terms of norms. We adopt agents as computational entities, each representing a different stakeholder. Unlike previous approaches, our framework, Desen, incorporates the social dimension into the formal verification process. Thus, Desen supports agents potentially violating applicable norms—a consequence of their autonomy. In addition to requirements verification, Desen supports refinement of STS specifications via design patterns to meet stated requirements. We evaluate Desen at three levels. We illustrate how Desen carries out refinement via the application of patterns on a hospital emergency scenario. We show via a human-subject study that a design process based on our patterns is helpful for participants who are inexperienced in conceptual modeling and norms. We provide an agent-based environment to simulate the hospital emergency scenario to compare STS specifications (including participant solutions from the human-subject study) with metrics indicating social welfare and norm compliance, and other domain dependent metrics.
author list: authors
issue: 1
status: peerReviewed
status: published
volume: 29
has version: Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control (PDF)
creator: Özgur Kafalı
date: 2019-12
is part of: repository
is part of: ACM Transactions on Software Engineering and Methodology
subject: Q335 Artificial intelligence
subject: QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
has accepted: Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control (PDF)
has document: Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control (PDF)
has document: Desen: Specification of Sociotechnical Systems via Patterns of Regulation and Control (Other)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Nirav Ajmeri
family name: Ajmeri
given name: Nirav
type: Person

Munindar P. Singh
family name: Singh
given name: Munindar P.
type: Person

Özgur Kafalı
family name: Kafalı
given name: Özgur
type: Person
given name: Özgür
name: Özgür Kafalı

ACM Transactions on Software Engineering and Methodology
issn: 1049331X
type: Collection

HTML Summary of #75472 Comparing Explanations between Random Forests and Artificial Neural Networks
format: text/html
primary topic: Comparing Explanations between Random Forests and Artificial Neural Networks

Comparing Explanations between Random Forests and Artificial Neural Networks (PDF)
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Comparing Explanations between Random Forests and Artificial Neural Networks (Other)
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Comparing Explanations between Random Forests and Artificial Neural Networks (Other)
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Comparing Explanations between Random Forests and Artificial Neural Networks (Other)
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Comparing Explanations between Random Forests and Artificial Neural Networks (Other)
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Comparing Explanations between Random Forests and Artificial Neural Networks (Other)
has part: indexcodes.txt
has file: indexcodes.txt
is index codes version of: Comparing Explanations between Random Forests and Artificial Neural Networks (PDF)
is version of: Comparing Explanations between Random Forests and Artificial Neural Networks (PDF)
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type: Document

Comparing Explanations between Random Forests and Artificial Neural Networks
abstract: The decisions made by machines are increasingly comparable in predictive performance to those made by humans, but these decision making processes are often concealed as black boxes. Additional techniques are required to extract understanding, and one such category are explanation methods. This research compares the explanations of two popular forms of artificial intelligence; neural networks and random forests. Researchers in either field often have divided opinions on transparency, and comparing explanations may discover similar ground truths between models. Similarity can help to encourage trust in predictive accuracy alongside transparent structure and unite the respective research fields. This research explores a variety of simulated and real-world datasets that ensure fair applicability to both learning algorithms. A new heuristic explanation method that extends an existing technique is introduced, and our results show that this is somewhat similar to the other methods examined whilst also offering an alternative perspective towards least-important features.
author list: authors
status: peerReviewed
status: published
has version: Comparing Explanations between Random Forests and Artificial Neural Networks (PDF)
creator: Lee Harris
creator: Marek Grześ
date: 2019-11-28
is part of: repository
subject: QA76.87 Neural computers, neural networks
has accepted: Comparing Explanations between Random Forests and Artificial Neural Networks (PDF)
has document: Comparing Explanations between Random Forests and Artificial Neural Networks (PDF)
has document: Comparing Explanations between Random Forests and Artificial Neural Networks (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

2019 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019)
type: Conference
type: Event

Bari, Italy
type: SpatialThing

Lee Harris
family name: Harris
given name: Lee
type: Person

HTML Summary of #79178 Towards Improved Steganalysis: When Cover Selection is Used in Steganography
format: text/html
primary topic: Towards Improved Steganalysis: When Cover Selection is Used in Steganography

Towards Improved Steganalysis: When Cover Selection is Used in Steganography (PDF)
license: http://creativecommons.org/licenses/by/3.0/
has part: IEEEAccess2019.pdf
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type: Document

Towards Improved Steganalysis: When Cover Selection is Used in Steganography (Other)
has part: indexcodes.txt
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Towards Improved Steganalysis: When Cover Selection is Used in Steganography (Other)
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Towards Improved Steganalysis: When Cover Selection is Used in Steganography (Other)
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Towards Improved Steganalysis: When Cover Selection is Used in Steganography (Other)
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Towards Improved Steganalysis: When Cover Selection is Used in Steganography (Other)
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Towards Improved Steganalysis: When Cover Selection is Used in Steganography
abstract: This paper proposes an improved steganalytic method when cover selection is used in steganography. We observed that the covers selected by existing cover selection methods normally have different characteristics from normal ones, and propose a steganalytic method to capture such differences. As a result, the detection accuracy of steganalysis is increased. In our method, we consider a number of images collected from one or more target (suspected but not known) users, and use an unsupervised learning algorithm such as $k$ -means to adapt the performance of a pre-trained classifier towards the cover selection operation of the target user(s). The adaptation is done via pseudo-labels from the suspected images themselves, thus allowing the re-trained classifier more aligned with the cover selection operation of the target user(s). We give experimental results to show that our method can indeed help increase the detection accuracy, especially when the percentage of stego images is between 0.3 and 0.7.
author list: authors
status: peerReviewed
status: published
volume: 7
has version: Towards Improved Steganalysis: When Cover Selection is Used in Steganography (PDF)
creator: Shujun Li
creator: Zichi Wang
creator: Xinpeng Zhang
date: 2019-11-22
is part of: repository
is part of: IEEE Access
subject: QA 75 Electronic computers. Computer science
subject: QA76.575 Multimedia systems
subject: TK5101 Telecommunications
has document: Towards Improved Steganalysis: When Cover Selection is Used in Steganography (PDF)
has document: Towards Improved Steganalysis: When Cover Selection is Used in Steganography (Other)
has published: Towards Improved Steganalysis: When Cover Selection is Used in Steganography (PDF)
type: AcademicArticle
type: Article
type: ArticleEPrint
type: EPrint

Zichi Wang
family name: Wang
given name: Zichi
type: Person

Xinpeng Zhang
family name: Zhang
given name: Xinpeng
type: Person

HTML Summary of #78198 Stepwise Evolutionary Learning using Deep Learned Guidance Functions
format: text/html
primary topic: Stepwise Evolutionary Learning using Deep Learned Guidance Functions

Stepwise Evolutionary Learning using Deep Learned Guidance Functions (PDF)
has part: BCS_SGAI_2019.pdf
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type: Document

Stepwise Evolutionary Learning using Deep Learned Guidance Functions (Other)
has part: indexcodes.txt
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Stepwise Evolutionary Learning using Deep Learned Guidance Functions (Other)
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Stepwise Evolutionary Learning using Deep Learned Guidance Functions (Other)
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Stepwise Evolutionary Learning using Deep Learned Guidance Functions (Other)
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Stepwise Evolutionary Learning using Deep Learned Guidance Functions (Other)
is version of: Stepwise Evolutionary Learning using Deep Learned Guidance Functions (PDF)
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Stepwise Evolutionary Learning using Deep Learned Guidance Functions
abstract: This paper explores how Learned Guidance Functions (LGFs)— a pre-training method used to smooth search landscapes—can be used as a fitness function for evolutionary algorithms. A new form of LGF is introduced, based on deep neural network learning, and it is shown how this can be used as a fitness function. This is applied to a test problem: unscrambling the Rubik’s Cube. Comparisons are made with a previous LGF approach based on random forests, and with a baseline approach based on traditional error-based fitness.
author list: authors
editor list: editors
status: peerReviewed
status: published
volume: 11927
has version: Stepwise Evolutionary Learning using Deep Learned Guidance Functions (PDF)
creator: Colin G. Johnson
date: 2019-11-19
is part of: repository
is part of: Lecture Notes in Computer Science
subject: QA76.87 Neural computers, neural networks
has accepted: Stepwise Evolutionary Learning using Deep Learned Guidance Functions (PDF)
has document: Stepwise Evolutionary Learning using Deep Learned Guidance Functions (PDF)
has document: Stepwise Evolutionary Learning using Deep Learned Guidance Functions (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

39th SGAI International Conference on Artificial Intelligence, AI 2019
type: Conference
type: Event

Cambridge, United Kingdom
type: SpatialThing

Max Bramer
family name: Bramer
given name: Max
type: Person

Miltos Petridis
family name: Petridis
given name: Miltos
type: Person

HTML Summary of #77170 WVD: A New Synthetic Dataset for Video-based Violence Detection
format: text/html
primary topic: WVD: A New Synthetic Dataset for Video-based Violence Detection

WVD: A New Synthetic Dataset for Video-based Violence Detection (PDF)
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WVD: A New Synthetic Dataset for Video-based Violence Detection (Other)
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WVD: A New Synthetic Dataset for Video-based Violence Detection (Other)
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WVD: A New Synthetic Dataset for Video-based Violence Detection (Other)
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WVD: A New Synthetic Dataset for Video-based Violence Detection (Other)
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WVD: A New Synthetic Dataset for Video-based Violence Detection (Other)
is version of: WVD: A New Synthetic Dataset for Video-based Violence Detection (PDF)
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issmall thumbnail version of: WVD: A New Synthetic Dataset for Video-based Violence Detection (PDF)
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WVD: A New Synthetic Dataset for Video-based Violence Detection
abstract: Violence detection is becoming increasingly relevant in many areas such as for automatic content filtering, video surveillance and law enforcement. Existing datasets and methods discriminate between violent and non-violent scenes based on very abstract definitions of violence. Available datasets, such as "Hockey Fight" and "Movies", only contain fight versus non-fight videos; no weapons are discriminated in them. In this paper, we focus explicitly on weapon-based fighting sequences and propose a new dataset based on the popular action-adventure video game Grand Theft Auto-V (GTA-V). This new dataset is called "Weapon Violence Dataset" (WVD). The choice for a virtual dataset follows a trend which allows creating and labelling as sophisticated and large volume, yet realistic, datasets as possible. Furthermore, WVD also avoids the drawbacks of access to real data and potential implications. To the best of our knowledge no similar dataset, that captures weapon-based violence, exists. The paper evaluates the proposed dataset by utilising local feature descriptors using an SVM classifier. The extracted features are aggregated using the Bag of Visual Word (BoVW) technique to classify weapon-based violence videos. Our results indicate that SURF achieves the best performance.
author list: authors
editor list: editors
status: peerReviewed
status: published
volume: 11927
has version: WVD: A New Synthetic Dataset for Video-based Violence Detection (PDF)
creator: Fatih Kurugollu
creator: Muhammad Shahroz Nadeem
creator: Virginia N. L. Franqueira
creator: Xiaojun Zhai
date: 2019-11-19
is part of: repository
is part of: Lecture Notes in Computer Science
has accepted: WVD: A New Synthetic Dataset for Video-based Violence Detection (PDF)
has document: WVD: A New Synthetic Dataset for Video-based Violence Detection (PDF)
has document: WVD: A New Synthetic Dataset for Video-based Violence Detection (Other)
type: AcademicArticle
type: Article
type: ConferenceItemEPrint
type: EPrint

AI-2019 39th SGAI International Conference on Artificial Intelligence
type: Conference
type: Event

Max Bramer
family name: Bramer
given name: Max
type: Person

Miltos Petridis
family name: Petridis
given name: Miltos
type: Person

Muhammad Shahroz Nadeem
family name: Nadeem
given name: Muhammad Shahroz
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Xiaojun Zhai
family name: Zhai
given name: Xiaojun
type: Person

HTML Summary of #77372 Monotonicity Detection and Enforcement in Longitudinal Classification
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primary topic: Monotonicity Detection and Enforcement in Longitudinal Classification

Monotonicity Detection and Enforcement in Longitudinal Classification (PDF)
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Monotonicity Detection and Enforcement in Longitudinal Classification (Other)
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Monotonicity Detection and Enforcement in Longitudinal Classification (Other)
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Monotonicity Detection and Enforcement in Longitudinal Classification (Other)
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Monotonicity Detection and Enforcement in Longitudinal Classification (Other)
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Monotonicity Detection and Enforcement in Longitudinal Classification (Other)
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Monotonicity Detection and Enforcement in Longitudinal Classification
abstract: Longitudinal datasets contain repeated measurements of the same variables at different points in time, which can be used by researchers to discover useful knowledge based on the changes of the data over time. Monotonic relations often occur in real-world data and need to be preserved in data mining models in order for the models to be acceptable by users. We propose a new methodology for detecting monotonic relations in longitudinal datasets and applying them in longitudinal classification model construction. Two different approaches were used to detect monotonic relations and include them into the classification task. The proposed approaches are evaluated using data from the English Lon- gitudinal Study of Ageing (ELSA) with 10 different age-related diseases used as class variables to be predicted. A gradient boosting algorithm (XGBoost) is used for constructing classification models in two scenarios: enforcing and not enforcing the constraints. The results show that enforcement of monotonicity constraints can consistently improve the predictive accuracy of the constructed models. The produced models are fully monotonic according to the monotonicity constraints, which can have a positive impact on model acceptance in real world applications.
author list: authors
editor list: editors
status: peerReviewed
status: published
volume: 11927
has version: Monotonicity Detection and Enforcement in Longitudinal Classification (PDF)
creator: Alex A. Freitas
creator: Fernando E.B. Otero
creator: Sergey Ovchinnik
date: 2019-11-19
is part of: repository
is part of: Lecture Notes in Computer Science
subject: Q335 Artificial intelligence
has accepted: Monotonicity Detection and Enforcement in Longitudinal Classification (PDF)
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has document: Monotonicity Detection and Enforcement in Longitudinal Classification (Other)
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type: Article
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39th SGAI International Conference on Artificial Intelligence, AI 2019
type: Conference
type: Event

Miltos Petridis
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Max Bramer
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given name: Max
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HTML Summary of #80945 Security and privacy solutions for smart healthcare systems
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primary topic: Security and privacy solutions for smart healthcare systems

Security and privacy solutions for smart healthcare systems (PDF)
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Security and privacy solutions for smart healthcare systems (PDF)
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Security and privacy solutions for smart healthcare systems (Other)
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Security and privacy solutions for smart healthcare systems (Other)
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Security and privacy solutions for smart healthcare systems (Other)
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Security and privacy solutions for smart healthcare systems (Other)
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Security and privacy solutions for smart healthcare systems (Other)
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Security and privacy solutions for smart healthcare systems
abstract: Smart healthcare can benefit patients and care providers. However, several challenges exist related to security and privacy. Security solutions have been developed to protect e-health users and medical databases however systematic guidelines and implementation are not rolled out in smart healthcare systems. Smart healthcare systems have specific demands when addressing security and privacy issues. From the conceptual perspective, we explored research activities related to authentication, access control, and de-identification and focus especially on key functions and features.
author list: authors
editor list: editors
status: peerReviewed
status: published
has version: Security and privacy solutions for smart healthcare systems (PDF)
creator: Richard O. Sinnott
creator: Yang Lu
date: 2019-11-15
is part of: repository
subject: R858 Computer applications to medicine. Medical informatics. Medical information technology
subject: T Technology (General)
has document: Security and privacy solutions for smart healthcare systems (PDF)
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has published: Security and privacy solutions for smart healthcare systems (PDF)
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Miltiadis Lytras
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given name: Miltiadis
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Akila Sarirete
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Richard O. Sinnott
family name: Sinnott
given name: Richard O.
type: Person

HTML Summary of #76942 A Roadmap for Improving the Impact of Anti-Ransomware Research
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primary topic: A Roadmap for Improving the Impact of Anti-Ransomware Research

A Roadmap for Improving the Impact of Anti-Ransomware Research (PDF)
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A Roadmap for Improving the Impact of Anti-Ransomware Research (Other)
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A Roadmap for Improving the Impact of Anti-Ransomware Research (Other)
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A Roadmap for Improving the Impact of Anti-Ransomware Research (Other)
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is volatile version of: A Roadmap for Improving the Impact of Anti-Ransomware Research (PDF)
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A Roadmap for Improving the Impact of Anti-Ransomware Research (Other)
is version of: A Roadmap for Improving the Impact of Anti-Ransomware Research (PDF)
is volatile version of: A Roadmap for Improving the Impact of Anti-Ransomware Research (PDF)
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A Roadmap for Improving the Impact of Anti-Ransomware Research (Other)
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A Roadmap for Improving the Impact of Anti-Ransomware Research
abstract: Ransomware is a type of malware which restricts access to a victim’s computing resources and demands a ransom in order to restore access. This is a continually growing and costly threat across the globe, therefore efforts have been made both in academia and industry to develop techniques that can help to detect and recover from ransomware attacks. This paper aims to provide an overview of the current landscape of Windows-based anti-ransomware tools and techniques, using a clear, simple and consistent terminology in terms of Data Sources, Processing and Actions. We extensively analysed relevant literature so that, to the best of our knowledge, we had at the time covered all approaches taken to detect and recover from ransomware attacks. We grouped these techniques according to their main features as a way to understand the landscape. We then selected 15 existing anti-ransomware tools both to examine how they fit into this landscape and to compare them by aggregating their accuracy and overhead – two of the most important selection criteria of these tools – as reported by the tools’ respective authors. We were able to determine popular solutions and unexplored gaps that could lead to promising areas of anti-ransomware development. From there, we propose two novel detection techniques, namely serial byte correlation and edit distance. This paper serves as a much needed roadmap of knowledge and ideas to systematise the current landscape of anti-ransomware tools.
author list: authors
editor list: editors
status: peerReviewed
status: published
volume: 11875
has version: A Roadmap for Improving the Impact of Anti-Ransomware Research (PDF)
creator: Budi Arief
creator: Julio C. Hernandez-Castro
creator: Osama Abu Oun
date: 2019-11-13
is part of: repository
is part of: Lecture Notes in Computer Science
has accepted: A Roadmap for Improving the Impact of Anti-Ransomware Research (PDF)
has document: A Roadmap for Improving the Impact of Anti-Ransomware Research (PDF)
has document: A Roadmap for Improving the Impact of Anti-Ransomware Research (Other)
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NordSec 2019: The 24th Nordic Conference on Secure IT Systems
type: Conference
type: Event

Aalborg, Denmark
type: SpatialThing

Willard Rafnsson
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Jamie Pont
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René Rydhof Hansen
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given name: René Rydhof
type: Person

Calvin Brierley
family name: Brierley
given name: Calvin
type: Person

Aslan Askarov
family name: Askarov
given name: Aslan
type: Person

Osama Abu Oun
family name: Abu Oun
given name: Osama
type: Person
family name: Oun
given name: Osama Abu

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