Computing Science

Article

Trust AI regulation? Discerning users are vital to build trust and effective AI regulation

Alalawi Z, Bova P, Cimpeanu T, Di Stefano A, Hong Duong M, Domingos EF, Han TA, Krellner M, Ogbo NB, Powers ST & Zimmaro F (2026) Trust AI regulation? Discerning users are vital to build trust and effective AI regulation. Applied Mathematics and Computation, 508, p. 129627. https://doi.org/10.1016/j.amc.2025.129627

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Article

Cross modality medical image synthesis for improving liver segmentation

Rafiq M, Ali H, Mujtaba G, Shah Z & Azmat S (2025) Cross modality medical image synthesis for improving liver segmentation. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 13 (1). https://doi.org/10.1080/21681163.2025.2476702

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Article

Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment

McLean KA, Sgro A, Brown LR, Buijs LF, Mountain KE, Shaw CA, Drake TM, Pius R, Knight SR, Fairfield CJ, Skipworth RJE, Tsaftaris SA, Wigmore SJ, Potter MA & Bouamrane M (2025) Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment. npj Digital Medicine, 8, Art. No.: 121. https://doi.org/10.1038/s41746-024-01419-8

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Book Chapter

LON/D - Sub-problem Landscape Analysis in Decomposition-Based Multi-objective Optimization

Liefooghe A, Ochoa G & Verel S (2025) LON/D - Sub-problem Landscape Analysis in Decomposition-Based Multi-objective Optimization. In: Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, pp. 133-149. https://doi.org/10.1007/978-3-031-86849-8_9

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Other

A Morpheme-Aware Child-Inspired Language Model

Bolucu N & Can Buglalilar B (2025) A Morpheme-Aware Child-Inspired Language Model. Proceedings of the 30th Empirical Methods in Natural Language Processing: Volume 3: The BabyLM Challenge Association for Computational Linguistics.

Article

What's It Like To Trust An LLM: The Devolution of Trust Psychology?

Powers ST, Urquhart N, Barnes CM, Cimpeanu T, Ekárt A, Han TA, Pitt J & Guckert M (2025) What's It Like To Trust An LLM: The Devolution of Trust Psychology?. IEEE Technology and Society Magazine, 44 (3). https://doi.org/10.1109/MTS.2025.3583233

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Conference Paper (unpublished)

A Proficiency-Oriented Neural Network for Accent Classification

Gu Y, Wang X & Zhang M (2025) A Proficiency-Oriented Neural Network for Accent Classification. The 30th International Conference on Automation and Computing, Loughborough, 27.08.2025-29.08.2025.

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Article

A deep convolutional neural network-based novel class balancing for imbalance data segmentation

Kalsoom A, Iftikhar MA, Ali A, Shah Z, Balakrishnan S & Ali H (2025) A deep convolutional neural network-based novel class balancing for imbalance data segmentation. Scientific Reports, 15, Art. No.: 21881. https://doi.org/10.1038/s41598-025-04952-y

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Article

Enhancing diabetic retinopathy classification accuracy through dual-attention mechanism in deep learning

Hannan A, Mahmood Z, Qureshi R & Ali H (2025) Enhancing diabetic retinopathy classification accuracy through dual-attention mechanism in deep learning. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 13 (1). https://doi.org/10.1080/21681163.2025.2539079

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Article

Applying time delay convergent cross mapping to Bitcoin time series

Isufaj A, De Castro Martins C, Cavazza M & Prendinger H (2025) Applying time delay convergent cross mapping to Bitcoin time series. Expert Systems with Applications, 277, p. 127125. https://doi.org/10.1016/j.eswa.2025.127125

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Conference Paper (published)

Interpretable decision trees to predict solution fitness

Catalano GAPI, Brownlee AEI, Cairns D & Ainslie R (2025) Interpretable decision trees to predict solution fitness. In: GECCO 2025, Malaga, Spain, 14.07.2025-18.07.2025. Association for Computing Machinery (ACM). https://doi.org/10.1145/1122445.1122456

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Article

Identifying Food Preferences and Malnutrition in Older Adults in Care Homes: Co-Design Study of a Digital Nutrition Assessment Tool

Connelly J, Swingler K, Rodriguez-Sanchez N & Whittaker AC (2025) Identifying Food Preferences and Malnutrition in Older Adults in Care Homes: Co-Design Study of a Digital Nutrition Assessment Tool. JMIR Aging, 8, Art. No.: e64661. https://doi.org/10.2196/64661

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Other

BERA Bites 12: Education and the environment

(2025) BERA Bites 12: Education and the environment. [online issue] 27.03.2025. https://www.bera.ac.uk/publication/bera-bites-issue-12-education-and-the-environment

Article

Information needs in vascular access decision-making: A qualitative study of patient and clinical stakeholder perspectives

Stevenson K, Meiklem R, Bouamrane M, Thomson P, Dunlop M, Martin L, Jones C & Kingsmore D (2025) Information needs in vascular access decision-making: A qualitative study of patient and clinical stakeholder perspectives. The Journal of Vascular Access. https://doi.org/10.1177/11297298251314792

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Article

Building a Turkish UCCA dataset

Bölücü N & Can B (2025) Building a Turkish UCCA dataset. Can Buglalilar B (Supervisor) Natural Language Processing, 31 (1), pp. 111-149. https://doi.org/10.1017/nlp.2024.36

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Conference Paper (published)

Generalizing and Unifying Gray-Box Combinatorial Optimization Operators

Chicano F, Whitley D, Ochoa G & Tinós R (2024) Generalizing and Unifying Gray-Box Combinatorial Optimization Operators. In: Affenzeller M, Winkler SM, Kononova AV, Trautmann H, Tusar T, Machado P & Back T (eds.) Parallel Problem Solving from Nature – PPSN XVIII. Lecture Notes in Computer Science, 15148. 18th International Conference on Parallel Problem Solving From Nature (PPSN 2024), Hagenberg, Austria, 14.09.2024-18.09.2024. Springer Nature Switzerland, pp. 52-67. https://doi.org/10.1007/978-3-031-70055-2_4

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Conference Paper (published)

An FPGA-based neuromorphic vision system accelerator

Ali T, Rainey J, Lau SY, Gheorghiu E, Maier P, Appiah K & Bhowmick D (2024) An FPGA-based neuromorphic vision system accelerator. In: Bouma H, Prabhu R, Yitzhaky Y & Kuijf HJ (eds.) volume 13206. SPIE "Artificial Intelligence for Security and Defence Applications II, Edinburgh, 16.09.2024-20.09.2024. SPIE. https://doi.org/10.1117/12.3034095

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Conference Paper (published)

Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture

Swingler K, Rumble T, Goutcher R, Hibbard P, Donoghue M & Harvey D (2024) Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture. In: volume 1. 16th International Conference on Neural Computation Theory and Applications, Porto, Portugal, 20.11.2024-22.11.2024. SCITEPRESS - Science and Technology Publications, pp. 413-422. https://doi.org/10.5220/0012877500003837

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Article

Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review

Ahmed FA, Yousef M, Ahmed MA, Ali HO, Mahboob A, Ali H, Shah Z, Aboumarzouk O, Al Ansari A & Balakrishnan S (2024) Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review. Artificial Intelligence Review, 58 (1). https://doi.org/10.1007/s10462-024-10979-w

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Article

Semantically-Informed Graph Neural Networks for Irony Detection in Turkish

Bolucu N & Can Buglalilar B (2024) Semantically-Informed Graph Neural Networks for Irony Detection in Turkish. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP). https://doi.org/10.1145/3705610

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