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Outputs (104)

Supporting Awareness of Visual Impairments and Accessibility Reflections through Video Demos and Design Cards (2022)
Presentation / Conference Contribution
Reyes-Cruz, G., Fischer, J., & Reeves, S. (2022, October). Supporting Awareness of Visual Impairments and Accessibility Reflections through Video Demos and Design Cards. Presented at Nordic Human-Computer Interaction Conference (NordiCHI ’22), Aarhus, Denmark

Disabled people's experiences and knowledge are oftentimes not central in design processes. Further, the burden of outreach and sensitising others to these experiences and knowledge is frequently not recognised. This paper offers a workshop approach... Read More about Supporting Awareness of Visual Impairments and Accessibility Reflections through Video Demos and Design Cards.

Reflections on RRI in “TAS for Health at Home” (2022)
Journal Article
Jäger, N., Dowthwaite, L., Barnard, P., Hughes, A.-M., das Nair, R., Crepaz-Keay, D., Cobb, S., Lang, A., Vayani, F., & Benford, S. (2022). Reflections on RRI in “TAS for Health at Home”. Journal of Responsible Technology, 12, Article 100049. https://doi.org/10.1016/j.jrt.2022.100049

We reflect on our experiences using Responsible Research and Innovation (RRI) in the project “TAS for Health at Home”. Driven by a multi-disciplinary research team that consisted of experts in mental health, stroke rehabilitation, management of multi... Read More about Reflections on RRI in “TAS for Health at Home”.

Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching (2022)
Journal Article
Chen, X., Bai, R., Qu, R., & Dong, H. (2023). Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching. IEEE Transactions on Evolutionary Computation, 27(5), 1220-1234. https://doi.org/10.1109/TEVC.2022.3209985

In a marine container terminal, truck dispatching is a crucial problem that impacts on the operation efficiency of the whole port. Traditionally, this problem is formulated as an offline optimisation problem, whose solutions are, however, impractical... Read More about Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching.

ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments (2022)
Presentation / Conference Contribution
Fatehi, K., Torres, M. T., & Kucukyilmaz, A. (2022, September). ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments. Presented at Interspeech 2022, Incheon, Korea

Recent improvements in Automatic Speech Recognition (ASR) systems obtain extraordinary results. However, there are specific domains where training data can be either limited or not representative enough, which are known as Low-Resource Environments (... Read More about ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments.

Subtyping Without Reduction (2022)
Presentation / Conference Contribution
Hewer, B., & Hutton, G. (2022, September). Subtyping Without Reduction. Presented at 14th International Conference, MPC 2022, Tbilisi, Georgia

Subtypes are useful and ubiquitous, allowing important properties of data to be captured directly in types. However, the standard encoding of subtypes gives no control over when the reduction of subtyping proofs takes place, which can significantly i... Read More about Subtyping Without Reduction.

Assessing the ethical and social concerns of artificial intelligence in neuroinformatics research: an empirical test of the European Union Assessment List for Trustworthy AI (ALTAI) (2022)
Journal Article
Stahl, B. C., & Leach, T. (2023). Assessing the ethical and social concerns of artificial intelligence in neuroinformatics research: an empirical test of the European Union Assessment List for Trustworthy AI (ALTAI). AI and Ethics, 3, 745-767. https://doi.org/10.1007/s43681-022-00201-4

Ethical and social concerns are a key obstacle to the adoption of artificial intelligence (AI) in the life sciences and beyond. The discussion of these issues has intensified in recent years and led to a number of approaches, tools and initiatives. K... Read More about Assessing the ethical and social concerns of artificial intelligence in neuroinformatics research: an empirical test of the European Union Assessment List for Trustworthy AI (ALTAI).

Chance-constrained model predictive control-based operation management of more-electric aircraft using energy storage systems under uncertainty (2022)
Journal Article
Wang, X., Bazmohammadi, N., Atkin, J., Bozhko, S., & Guerrero, J. M. (2022). Chance-constrained model predictive control-based operation management of more-electric aircraft using energy storage systems under uncertainty. Journal of Energy Storage, 55, Article 105629. https://doi.org/10.1016/j.est.2022.105629

On more electric aircraft (MEA), reducing fuel consumption and guaranteeing flight safety are pursued by efficient operational management of the electrical power system (EPS). Considering the growing number of onboard electric loads and the increasin... Read More about Chance-constrained model predictive control-based operation management of more-electric aircraft using energy storage systems under uncertainty.

Supporting Responsible Research and Innovation within a University-based digital research programme: reflections from the “hoRRIzon” project (2022)
Journal Article
Portillo, V., Craigon, P., Dowthwaite, L., Greenhalgh, C., & Pérez-Vallejos, E. (2022). Supporting Responsible Research and Innovation within a University-based digital research programme: reflections from the “hoRRIzon” project. Journal of Responsible Technology, 12, Article 100045. https://doi.org/10.1016/j.jrt.2022.100045

Integration of Responsible Research and Innovation (RRI) principles into a research project is key to ensure outputs are ethically acceptable and socially desirable. However, translating RRI principles into practice is challenging as there are no rec... Read More about Supporting Responsible Research and Innovation within a University-based digital research programme: reflections from the “hoRRIzon” project.

Alpha-cut based compositional representation of fuzzy sets and exploration of associated fuzzy set regression (2022)
Presentation / Conference Contribution
Pekaslan, D., & Wagner, C. (2022, July). Alpha-cut based compositional representation of fuzzy sets and exploration of associated fuzzy set regression. Presented at IEEE World Congress on Computational Intelligence (IEEE WCCI2022), Padova, Italy

The compositional representation of data and associated statistical approaches is a powerful framework for modelling and reasoning about quantities which reflect proportions of a whole. Recently, an increasing body of work has started exploring the a... Read More about Alpha-cut based compositional representation of fuzzy sets and exploration of associated fuzzy set regression.

Feature importance in machine learning models: A fuzzy information fusion approach (2022)
Journal Article
Rengasamy, D., Mase, J. M., Kumar, A., Rothwell, B., Torres, M. T., Alexander, M. R., Winkler, D. A., & Figueredo, G. P. (2022). Feature importance in machine learning models: A fuzzy information fusion approach. Neurocomputing, 511, 163-174. https://doi.org/10.1016/j.neucom.2022.09.053

With the widespread use of machine learning to support decision-making, it is increasingly important to verify and understand the reasons why a particular output is produced. Although post-training feature importance approaches assist this interpreta... Read More about Feature importance in machine learning models: A fuzzy information fusion approach.