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Outputs (75)

Crossing with care: bogs, streams and assistive mobilities as family praxis in the countryside (2021)
Journal Article
Laurier, E., Dunkley, R., Smith, T. A., & Reeves, S. (2021). Crossing with care: bogs, streams and assistive mobilities as family praxis in the countryside. Gesprächsforschung, 22, 544-568

In this paper, we use ethnomethodology, membership categorisation analysis, and conversation analysis (EMCA) to investigate traversing obstacles in outdoor environments as reflexively constitutive of producing, resisting and adjusting family relation... Read More about Crossing with care: bogs, streams and assistive mobilities as family praxis in the countryside.

A self-adaptive multi-objective feature selection approach for classification problems (2021)
Journal Article
Xue, Y., Zhu, H., & Neri, F. (2022). A self-adaptive multi-objective feature selection approach for classification problems. Integrated Computer-Aided Engineering, 29(1), 3-21. https://doi.org/10.3233/ICA-210664

In classification tasks, feature selection (FS) can reduce the data dimensionality and may also improve classification accuracy, both of which are commonly treated as the two objectives in FS problems. Many meta-heuristic algorithms have been applied... Read More about A self-adaptive multi-objective feature selection approach for classification problems.

Generalised Pattern Search with Restarting Fitness Landscape Analysis (2021)
Journal Article
Neri, F. (2022). Generalised Pattern Search with Restarting Fitness Landscape Analysis. SN Computer Science, 3(2), Article 110. https://doi.org/10.1007/s42979-021-00989-8

Fitness landscape analysis for optimisation is a technique that involves analysing black-box optimisation problems to extract pieces of information about the problem, which can beneficially inform the design of the optimiser. Thus, the design of the... Read More about Generalised Pattern Search with Restarting Fitness Landscape Analysis.

Constraint reformulations for set point optimization problems using fuzzy cognitive map models (2021)
Journal Article
Garzón Casado, A., Cano Marchal, P., Wagner, C., Gómez Ortega, J., & Gámez García, J. (2022). Constraint reformulations for set point optimization problems using fuzzy cognitive map models. Optimal Control Applications and Methods, 43(3), 711-721. https://doi.org/10.1002/oca.2846

The selection of optimal set points is an important problem in modern process control. Fuzzy cognitive maps (FCMs) allow to construct models of complex processes using expert knowledge, which is particularly useful in situations where measuring the v... Read More about Constraint reformulations for set point optimization problems using fuzzy cognitive map models.

A fusion spatial attention approach for few-shot learning (2021)
Journal Article
Song, H., Deng, B., Pound, M., Özcan, E., & Triguero, I. (2022). A fusion spatial attention approach for few-shot learning. Information Fusion, 81, 187-202. https://doi.org/10.1016/j.inffus.2021.11.019

Few-shot learning is a challenging problem in computer vision that aims to learn a new visual concept from very limited data. A core issue is that there is a large amount of uncertainty introduced by the small training set. For example, the few image... Read More about A fusion spatial attention approach for few-shot learning.

International data governance for neuroscience (2021)
Journal Article
Eke, D. O., Bernard, A., Bjaalie, J. G., Chavarriaga, R., Hanakawa, T., Hannan, A. J., …Pestilli, F. (2022). International data governance for neuroscience. Neuron, 110(4), 600-612. https://doi.org/10.1016/j.neuron.2021.11.017

As neuroscience projects increase in scale and cross international borders, different ethical principles, national and international laws, regulations, and policies for data sharing must be considered. These concerns are part of what is collectively... Read More about International data governance for neuroscience.

Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester (2021)
Journal Article
Akintoye, S., Ogoh, G., Krokida, Z., Nnadi, J., & Eke, D. (2021). Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester. Journal of Information, Communication and Ethics in Society, 19(4), 521-536. https://doi.org/10.1108/jices-06-2021-0071

Purpose
Digital contact tracing technologies are critical to the fight against COVID-19 in many countries including the UK. However, a number of ethical, legal and socio-economic concerns that can affect uptake of the app have been raised. The purpo... Read More about Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester.

Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis (2021)
Journal Article
Laparidou, D., Curtis, F., Akanuwe, J., Goher, K., Niroshan Siriwardena, A., & Kucukyilmaz, A. (2021). Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis. Journal of NeuroEngineering and Rehabilitation, 18(1), Article 181. https://doi.org/10.1186/s12984-021-00976-3

Background: In recent years, robotic rehabilitation devices have often been used for motor training. However, to date, no systematic reviews of qualitative studies exploring the end-user experiences of robotic devices in motor rehabilitation have bee... Read More about Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis.

EHR STAR: The State-Of-the-Art in Interactive EHR Visualization (2021)
Journal Article
Wang, Q., & Laramee, R. S. (2022). EHR STAR: The State-Of-the-Art in Interactive EHR Visualization. Computer Graphics Forum, 41(1), 69-105. https://doi.org/10.1111/cgf.14424

Since the inception of electronic health records (EHR) and population health records (PopHR), the volume of archived digital health records is growing rapidly. Large volumes of heterogeneous health records require advanced visualization and visual an... Read More about EHR STAR: The State-Of-the-Art in Interactive EHR Visualization.