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Redefining Elderly Care with Agentic AI: Challenges and Opportunities
Khalil RA, Ahmad K & Ali H (2026) Redefining Elderly Care with Agentic AI: Challenges and Opportunities. IEEE Open Journal of the Computer Society, pp. 326-342. https://doi.org/10.1109/ojcs.2026.3650842
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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
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
Conference Paper (published)
Single layer tiny Co4 outpaces {GPT}-2 and {GPT}-{BERT}
Zain NU, Naseem MR & Adeel A (2025) Single layer tiny Co4 outpaces {GPT}-2 and {GPT}-{BERT}. In: Charpentier L, Choshen L, Cotterell R, Gul MO, Hu MY, Liu J, Jumelet J, Linzen T, Mueller A, Ross C, Shah RS, Warstadt A, Wilcox EG & Williams A (eds.) Proceedings of the First BabyLM Workshop, volume Proceedings of the First BabyLM Workshop. Empirical Methods in Natural Language Processing, Hybrid, 04.11.2025. Association for Computational Linguistics, pp. 313-322. https://doi.org/10.18653/v1/2025.babylm-main.24
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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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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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Surrogate-assisted evolutionary multi-objective optimisation of office building glazing
Brownlee AEI & Vanmosuinck ERO (2025) Surrogate-assisted evolutionary multi-objective optimisation of office building glazing. Industrial Artificial Intelligence, 3 (1), Art. No.: 4. https://doi.org/10.1007/s44244-025-00025-1
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Enhancing large language models for bitcoin time series forecasting
Chaffard O, Mollá P, Cavazza M & Prendinger H (2025) Enhancing large language models for bitcoin time series forecasting. Knowledge-Based Systems, 330 (Part A), p. 114449. https://doi.org/10.1016/j.knosys.2025.114449
Conference Paper (published)
Distribution Modeling and GenAI-Assisted Projection for SAR Incremental Learning
Huang H, Gao F & Akbari V (2025) Distribution Modeling and GenAI-Assisted Projection for SAR Incremental Learning. In: BMVC 2025, Sheffield, 23.11.2025-27.11.2025. https://bmva-archive.org.uk/bmvc/2025/assets/workshops/MVEO/Paper_6/paper.pdf
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Hankin RKS (2025) Clifford Algebra in R: Introducing the Clifford Package. Hankin R (Other) Advances in Applied Clifford Algebras, 35 (5), p. 18. https://doi.org/10.1007/s00006-025-01403-9
Conference Paper (published)
LLM-Guided Genetic Improvement: Envisioning Semantic Aware Automated Software Evolution
Even-Mendoza K, Brownlee A, Geiger A, Hanna C, Petke J, Sarro F & Sobania D (2025) LLM-Guided Genetic Improvement: Envisioning Semantic Aware Automated Software Evolution. In: IEEE/ACM International Conference on Automated Software engineering, Seoul, 16.11.2025-20.11.2025.
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Incentivising prosocial behaviour in community energy using multi-agent systems
Brooks NA, Powers ST & Borg JM (2025) Incentivising prosocial behaviour in community energy using multi-agent systems. International Journal of Computational Intelligence Systems, 18, Art. No.: 307. https://doi.org/10.1007/s44196-025-01060-7
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.
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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
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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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