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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

Article

Large Language Model Based Mutations in Genetic Improvement

Brownlee AEI, Callan J, Even-Mendoza K, Geiger A, Hanna C, Petke J, Sarro F & Sobania D (2025) Large Language Model Based Mutations in Genetic Improvement. Automated Software Engineering, 32 (15). https://doi.org/10.1007/s10515-024-00473-6

Article

Multiscale matrix pencils for separable reconstruction problems

Cuyt A & Lee W (2024) Multiscale matrix pencils for separable reconstruction problems. Numerical Algorithms, 95, pp. 31-72. https://doi.org/10.1007/s11075-023-01564-3

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

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

Article

Reachability analysis of FMI models using data-driven dynamic sensitivity

Bogomolov S, Gomes C, Isasa C, Soudjani S, Stankaitis P & Wright T (2024) Reachability analysis of FMI models using data-driven dynamic sensitivity. SIMULATION. https://doi.org/10.1177/00375497241261409

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

Article

Comparing apples and oranges? Investigating the consistency of CPU and memory profiler results across multiple java versions

Watkinson M & Brownlee AEI (2024) Comparing apples and oranges? Investigating the consistency of CPU and memory profiler results across multiple java versions. Automated Software Engineering, 31, Art. No.: 28. https://doi.org/10.1007/s10515-024-00423-2

Article

Introduction to the Special Issue on Explainable AI in Evolutionary Computation

Bacardit J, Brownlee A, Cagnoni S, Iacca G, McCall J & Walker D (2024) Introduction to the Special Issue on Explainable AI in Evolutionary Computation. ACM Transactions on Evolutionary Learning and Optimization, 4 (1), pp. 1-2. https://doi.org/10.1145/3649144

Article

Iceberg Detection With RADARSAT-2 Quad-Polarimetric C-Band SAR in Kongsfjorden, Svalbard—Comparison With a Ground-Based Radar

Bailey J, Akbari V, Liu T, Lauknes TR & Marino A (2024) Iceberg Detection With RADARSAT-2 Quad-Polarimetric C-Band SAR in Kongsfjorden, Svalbard—Comparison With a Ground-Based Radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, pp. 5790-5803. https://doi.org/10.1109/jstars.2024.3369392

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)

Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures

Fyvie M, McCall JAW, Christie LA, Zavoianu A, Brownlee AEI & Ainslie R (2023) Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures. In: TBC. Lecture Notes in Artificial Intelligence. AI-2023 Forty-third SGAI International Conference on Artificial Intelligence, Cambridge, 12.12.2023-14.12.2023. Cham, Switzerland: Springer.