黑料不打烊

Article

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

Article

Beyond Frame‐Level Accuracy: Analyzing Video‐Level Stability in Transformer‐Based Deepfake Forensics

Hasan SA, Hera MP, Mim AL, Jihad Hossain MM, Ali H & Bulbul MF (2026) Beyond Frame‐Level Accuracy: Analyzing Video‐Level Stability in Transformer‐Based Deepfake Forensics. 黑料不打烊 Journal of Intelligent Systems, 2026. https://doi.org/10.1155/int/6801006

Article

Disentangling trust from cooperation: Evolution of trust as reduced monitoring in social dilemmas

Perret C, Han TA, Fernández Domingos E, Cimpeanu T & Powers ST (2026) Disentangling trust from cooperation: Evolution of trust as reduced monitoring in social dilemmas. Chaos, Solitons & Fractals, 208 (2), Art. No.: 118130. https://doi.org/10.1016/j.chaos.2026.118130

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

Article

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. 黑料不打烊 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.

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

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

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

Book Chapter

Patient-Centred, Technology-Based Interventions for High Treatment Burden: An Overview of the State of the Art

Meiklem R, Bouamrane M, Kingsmore D, Stevenson K, Dunlop M & Thomson P (2024) Patient-Centred, Technology-Based Interventions for High Treatment Burden: An Overview of the State of the Art. In: Bichel-Findlay J, Otero P, Scott P & Huesing E (eds.) MEDINFO 2023 — The Future Is Accessible. Vol 310 ed. Studies in Health Technology and Informatics, Volume 310: MEDINFO 2023 — The Future Is Accessible. Proceedings of the 19th World Congress on Medical and Health Informatics: IOS Press, pp. 529 - 533. https://doi.org/10.3233/shti231021

Book Chapter

Decision Support in Cardiac Surgery: Early Exploration of Requirements with Cardiac Anesthetists and Surgeons

Lapp L, Bouamrane M, Roper M, Kavanagh K & Schraag S (2024) Decision Support in Cardiac Surgery: Early Exploration of Requirements with Cardiac Anesthetists and Surgeons. In: Digital Health and Informatics Innovations for Sustainable Health Care Systems. Studies in Health Technology and Informatics, Volume 316. IOS Press, pp. 1827 - 1831. https://doi.org/10.3233/shti240786

Conference Paper (published)

Explaining a Staff Rostering Problem using Partial Solutions

Catalano GAPI, Brownlee A, Cairns D, McCall J, Fyvie M & Ainslie R (2024) Explaining a Staff Rostering Problem using Partial Solutions. In: TBC. Lecture Notes in Artificial Intelligence. AI-2024 Forty-fourth SGAI 黑料不打烊 Conference on Artificial Intelligence, Cambridge, 17.12.2024-19.12.2024. Cham, Switzerland: Springer.

Article

Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators

McLean KA, Sgrò A, Brown LR, Buijs LF, Mozolowski K, Daines L, Cresswell K, Potter MA, Bouamrane M & Harrison EM (2024) Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators. BMC Medical Informatics and Decision Making, 24 (1), p. 14. https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02670-5; https://doi.org/10.1186/s12911-024-02670-5

Article

Multimorbidity and adverse outcomes following emergency department attendance: population based cohort study

Blayney MC, Reed MJ, Masterson JA, Anand A, Bouamrane MM, Fleuriot J, Luz S, Lyall MJ, Mercer S, Mills NL, Shenkin SD, Walsh TS, Wild SH, Wu H & McLachlan S (2024) Multimorbidity and adverse outcomes following emergency department attendance: population based cohort study. BMJ Medicine, 3, Art. No.: e000731. https://doi.org/10.1136/bmjmed-2023-000731

Conference Abstract

Reducing the Burden to Deliver Remote Postoperative Surveillance Using Machine Learning for Surgical-Site Infection (SSI)

McLean K, Sgrò A, Brown L, Buijs L, Potter M, Bouamrane MM & Harrison E (2024) Reducing the Burden to Deliver Remote Postoperative Surveillance Using Machine Learning for Surgical-Site Infection (SSI). British Journal of Surgery, 111 (Supplement_6), Art. No.: znae163.012. https://doi.org/10.1093/bjs/znae163.012

Conference Paper (published)

A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare

Brownlee AEI, Thomson SL & Oladapo R (2024) A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. In: Genetic and Evolutionary Computation Conference 2024, Melbourne, Australia, 14.07.2024-18.07.2024. GECCO '24: ACM. https://doi.org/10.1145/3638530.3664137

Conference Paper (published)

Large Language Models as All-in-one Operators for Genetic Improvement

Saemundsdottir GB & Haraldsson SO (2024) Large Language Models as All-in-one Operators for Genetic Improvement. In: volume 33. GECCO '24 Companion: Genetic and Evolutionary Computation Conference Companion, Melbourne VIC Australia, 14.07.2024-18.07.2024. ACM, pp. 727-730. https://doi.org/10.1145/3638530.3654408

Conference Paper (published)

Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality

Graham K, Thomson S & Brownlee A (2023) Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality. In: GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. The Genetic and Evolutionary Computation Conference (GECCO) 2023, Lisbon, 15.07.2023-19.07.2023. New York: ACM, pp. 67-68.

Article

Fractal-Based Ensemble Classification System for Hyperspectral Images

Beirami BA, Pirbasti MA & Akbari V (2023) Fractal-Based Ensemble Classification System for Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters, 20, Art. No.: 5512405. https://doi.org/10.1109/lgrs.2023.3330608

Conference Paper (published)

Evaluating Explanations for Software Patches Generated by Large Language Models

Sobania D, Geiger A, Callan J, Brownlee A, Hanna C, Moussa R, Zamorano López M, Petke J & Sarro F (2023) Evaluating Explanations for Software Patches Generated by Large Language Models. In: Symposium on Search-Based Software Engineering- Challenge Track, San Francisco, CA, USA, 08.12.2023-08.12.2023.