All Outputs (1965)

Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem (2020)
Conference Proceeding
Garza-Santisteban, F., Amaya, I., Cruz-Duarte, J., Ortiz-Bayliss, J. C., Ozcan, E., & Terashima-Marin, H. (2020). Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem. In 2020 IEEE Congress on Evolutionary Computation (CEC) (1-8). https://doi.org/10.1109/CEC48606.2020.9185709

This study presents an offline learning Simulated Annealing approach to generate a constructive hyper-heuristic evaluated through training and testing on a set of instances for solving the Job-Shop Scheduling problem. The generated hyperheuristic use... Read More about Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem.

Provably Robust Decisions based on Potentially Malicious Sources of Information (2020)
Conference Proceeding
Muller, T., Wang, D., & Sun, J. (2020). Provably Robust Decisions based on Potentially Malicious Sources of Information. In 2020 IEEE 33rd Computer Security Foundations Symposium (CSF) (411-425). https://doi.org/10.1109/csf49147.2020.00036

Sometimes a security-critical decision must be made using information provided by peers. Think of routing messages, user reports, sensor data, navigational information, blockchain updates. Attackers manifest as peers that strategically report fake in... Read More about Provably Robust Decisions based on Potentially Malicious Sources of Information.

"It's your private information. it's your life.": young people's views of personal data use by online technologies (2020)
Conference Proceeding
Dowthwaite, L., Creswick, H., Portillo, V., Zhao, J., Patel, M., Perez Vallejos, E., …Jirotka, M. (2020). "It's your private information. it's your life.": young people's views of personal data use by online technologies. In IDC '20: Proceedings of the Interaction Design and Children Conference (121-134). https://doi.org/10.1145/3392063.3394410

Children and young people make extensive and varied use of digital and online technologies, yet issues about how their personal data may be collected and used by online platforms are rarely discussed. Additionally, despite calls to increase awareness... Read More about "It's your private information. it's your life.": young people's views of personal data use by online technologies.

A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method (2020)
Journal Article
Deveci, M., Özcan, E., John, R., Covrig, C., & Pamucar, D. (2020). A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method. Journal of Environmental Management, 270, Article 110916. https://doi.org/10.1016/j.jenvman.2020.110916

This study investigates the degree of importance of criteria affecting the optimal site selection of offshore wind farms. Firstly, forty two different influential criteria have been selected by reviewing the scientific literature on offshore wind far... Read More about A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method.

The Ethical Balance of Using Smart Information Systems for Promoting the United Nations’ Sustainable Development Goals (2020)
Journal Article
Ryan, M., Antoniou, J., Brooks, L., Jiya, T., Macnish, K., & Stahl, B. (2020). The Ethical Balance of Using Smart Information Systems for Promoting the United Nations’ Sustainable Development Goals. Sustainability, 12(12), Article 4826. https://doi.org/10.3390/su12124826

The Sustainable Development Goals (SDGs) are internationally agreed goals that allow us to determine what humanity, as represented by 193 member states, finds acceptable and desirable. The paper explores how technology can be used to address the SDGs... Read More about The Ethical Balance of Using Smart Information Systems for Promoting the United Nations’ Sustainable Development Goals.

Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications (2020)
Journal Article
Ryan, M., & Stahl, B. C. (2021). Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications. Journal of Information, Communication and Ethics in Society, 19(1), 61-86. https://doi.org/10.1108/JICES-12-2019-0138

Purpose: The purpose of this paper is clearly illustrate this convergence and the prescriptive recommendations that such documents entail. There is a significant amount of research into the ethical consequences of artificial intelligence (AI). This i... Read More about Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications.

State of the art in logics for verification of resource-bounded multi-agent systems (2020)
Book Chapter
Alechina, N., & Logan, B. (2020). State of the art in logics for verification of resource-bounded multi-agent systems. In A. Blass, P. Cégielski, N. Dershowitz, M. Droste, & B. Finkbeiner (Eds.), Fields of Logic and Computation III: Essays Dedicated to Yuri Gurevich on the Occasion of his 80th Birthday (9-29). Springer. https://doi.org/10.1007/978-3-030-48006-6_2

Approaches to the verification of multi-agent systems are typically based on games or transition systems defined in terms of states and actions. However such approaches often ignore a key aspect of multi-agent systems, namely that the agents’ actions... Read More about State of the art in logics for verification of resource-bounded multi-agent systems.

Addressing Examination Timetabling Problem Using a Partial Exams Approach in Constructive and Improvement (2020)
Journal Article
Mandal, A. K., Kahar, M. N. M., & Kendall, G. (2020). Addressing Examination Timetabling Problem Using a Partial Exams Approach in Constructive and Improvement. Computation, 8(2), https://doi.org/10.3390/computation8020046

The paper investigates a partial exam assignment approach for solving the examination timetabling problem. Current approaches involve scheduling all of the exams into time slots and rooms (i.e., produce an initial solution) and then continuing by imp... Read More about Addressing Examination Timetabling Problem Using a Partial Exams Approach in Constructive and Improvement.

A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition (2020)
Journal Article
Fasanmade, A., He, Y., Al-Bayatti, A. H., Morden, J. N., Aliyu, S. O., Alfakeeh, A. S., & Alsayed, A. O. (2020). A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition. IEEE Access, 8, 95197-95207. https://doi.org/10.1109/access.2020.2994811

Detecting and classifying driver distractions is crucial in the prevention of road accidents. These distractions impact both driver behavior and vehicle dynamics. Knowing the degree of driver distraction can aid in accident prevention techniques, inc... Read More about A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition.

Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation (2020)
Journal Article
Zakhary, S., Rosser, J., Siebers, P., Mao, Y., & Robinson, D. (2020). Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation. Environment and Planning B: Urban Analytics and City Science, 48(5), https://doi.org/10.1177/2399808320914313

Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data (2020)
Journal Article
Maillo, J., Triguero, I., & Herrera, F. (2020). Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data. IEEE Access, 1-1. https://doi.org/10.1109/access.2020.2991800

It is recognized the importance of knowing the descriptive properties of a dataset when tackling a data science problem. Having information about the redundancy, complexity and density of a problem allows us to make decisions as to which data preproc... Read More about Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data.

A Unified Framework of Graph-based Evolutionary Multitasking Hyper-heuristic (2020)
Journal Article
Hao, X., Qu, R., & Liu, J. (2021). A Unified Framework of Graph-based Evolutionary Multitasking Hyper-heuristic. IEEE Transactions on Evolutionary Computation, 25(1), 35-47. https://doi.org/10.1109/tevc.2020.2991717

In recent research, hyper-heuristics have attracted increasing attention among researchers in various fields. The most appealing feature of hyper-heuristics is that they aim to provide more generalized solutions to optimization problems by searching... Read More about A Unified Framework of Graph-based Evolutionary Multitasking Hyper-heuristic.

Do film festivals attract tourists? (2020)
Journal Article
Kendall, G., Chan, J. H. T., Yeung, M. C. H., & Law, K. K. (2021). Do film festivals attract tourists?. Current Issues in Tourism, 24(11), 1482-1486. https://doi.org/10.1080/13683500.2020.1758041

Hosting film festivals has become a prevailing practice to promote culture or festival tourism. Empirical studies on the relationship between cultural attendance and tourism demands, however, were mainly comprised of investigations of data of one or... Read More about Do film festivals attract tourists?.

Crowdsourcing in China: Exploring the Work Experiences of Solo Crowdworkers and Crowdfarm Workers (2020)
Conference Proceeding
Wang, Y., Papangelis, K., Khan, V., Lykourentzou, I., Chamberlain, A., & Saker, M. (2020). Crowdsourcing in China: Exploring the Work Experiences of Solo Crowdworkers and Crowdfarm Workers. In CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, April 2020

Recent research highlights the potential of crowdsourcing in China. Yet very few studies explore the workplace context and experiences of Chinese crowdworkers. Those that do, focus mainly on the work experiences of solo crowdworkers but do not deal w... Read More about Crowdsourcing in China: Exploring the Work Experiences of Solo Crowdworkers and Crowdfarm Workers.

Connecting Distributed Families: Camera Work for Three-party Mobile Video Calls (2020)
Conference Proceeding
Gan, Y., Greiffenhagen, C., & Reeves, S. (2020). Connecting Distributed Families: Camera Work for Three-party Mobile Video Calls. In CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (1-12). https://doi.org/10.1145/3313831.3376704

Mobile video calling technologies have become a critical link to connect distributed families. However, these technologies have been principally designed for video calling between two parties, whereas family video calls involve young children often c... Read More about Connecting Distributed Families: Camera Work for Three-party Mobile Video Calls.

Reframing Disability as Competency: Unpacking Everyday Technology Practices of People with Visual Impairments (2020)
Conference Proceeding
Reyes-Cruz, G., Fischer, J. E., & Reeves, S. (2020). Reframing Disability as Competency: Unpacking Everyday Technology Practices of People with Visual Impairments. In CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (1–13). https://doi.org/10.1145/3313831.3376767

More than a billion people in the world live with some form of visual impairment, and a wide variety of technologies are now routinely used by them in the course of 'getting on' in everyday life. However, little is known about the ways in which assis... Read More about Reframing Disability as Competency: Unpacking Everyday Technology Practices of People with Visual Impairments.

AgentVis: Visual Analysis of Agent Behavior with Hierarchical Glyphs (2020)
Journal Article
Rees, D., Laramee, R. S., Brookes, P., D'Cruze, T., Smith, G. A., & Miah, A. (2020). AgentVis: Visual Analysis of Agent Behavior with Hierarchical Glyphs. IEEE Transactions on Visualization and Computer Graphics, 27(9), 3626-3643. https://doi.org/10.1109/tvcg.2020.2985923

Glyphs representing complex behavior provide a useful and common means of visualizing multivariate data. However, due to their complex shape, overlapping and occlusion of glyphs is a common and prominent limitation. This limits the number of discreet... Read More about AgentVis: Visual Analysis of Agent Behavior with Hierarchical Glyphs.

A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation (2020)
Conference Proceeding
Neri, F., & Rostami, S. (2020). A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation. . https://doi.org/10.1007/978-3-030-43722-0_1

© 2020, Springer Nature Switzerland AG. Pattern Search is a family of optimisation algorithms that improve upon an initial solution by performing moves along the directions of a basis of vectors. In its original definition Pattern Search moves along... Read More about A Local Search for Numerical Optimisation Based on Covariance Matrix Diagonalisation.

White Noise from the White Goods? Privacy by Design for Ambient Domestic Computing (2020)
Book Chapter
Urquhart, L. (2020). White Noise from the White Goods? Privacy by Design for Ambient Domestic Computing. In L. Edwards, B. Schafer, & E. Harbinja (Eds.), Future Law: Emerging Technology, Regulation and Ethics. Edinburgh University Press

Within this chapter we consider the emergence of ambient domestic computing systems, both conceptually and empirically. We critically assess visions of post-desktop computing, paying particular attention to one contemporary trend: the internet of thi... Read More about White Noise from the White Goods? Privacy by Design for Ambient Domestic Computing.

The future of ICT for health and ageing: Unveiling ethical and social issues through horizon scanning foresight (2020)
Journal Article
Flick, C., Zamani, E. D., Stahl, B. C., & Brem, A. (2020). The future of ICT for health and ageing: Unveiling ethical and social issues through horizon scanning foresight. Technological Forecasting and Social Change, 155, Article 119995. https://doi.org/10.1016/j.techfore.2020.119995

This paper uses horizon scanning as a foresight methodology to investigate the opportunities, challenges and futures of ICT for health and ageing, particularly focusing on identifying the ethical and social issues associated with this sector. It uses... Read More about The future of ICT for health and ageing: Unveiling ethical and social issues through horizon scanning foresight.