| Towards explainable metaheuristics: PCA for trajectory mining in evolutionary algorithms M Fyvie, JAW McCall, LA Christie International Conference on Innovative Techniques and Applications of …, 2021 | 13 | 2021 |
| Explaining a staff rostering genetic algorithm using sensitivity analysis and trajectory analysis. M Fyvie, J Mccall, L Christie, A Brownlee Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 7 | 2023 |
| Towards explainable metaheuristics: Feature extraction from trajectory mining M Fyvie, JAW McCall, LA Christie, AEI Brownlee, M Singh Expert Systems 42 (1), e13494, 2025 | 3 | 2025 |
| Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures M Fyvie, JAW McCall, LA Christie, AC Zăvoianu, AEI Brownlee, R Ainslie International Conference on Innovative Techniques and Applications of …, 2023 | 3 | 2023 |
| Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems R Zhou, J Bacardit, A Brownlee, S Cagnoni, M Fyvie, G Iacca, J McCall, ... arXiv preprint arXiv:2406.07811, 2024 | 1 | 2024 |
| Explainability of non-deterministic solvers: explanatory feature generation from the data mining of the search trajectories of population-based metaheuristics. M Fyvie | 1 | 2024 |
| Non-deterministic solvers and explainable AI through trajectory mining. M Fyvie, JAW McCall, LA Christie CEUR Workshop Proceedings, 2021 | 1 | 2021 |
| Explaining a Staff Rostering Problem Using Partial Solutions GCAPI Catalano, AEI Brownlee, D Cairns, JAW McCall, M Fyvie, R Ainslie International Conference on Innovative Techniques and Applications of …, 2024 | | 2024 |
| Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems R Zhou, J Bacardit, AEI Brownlee, S Cagnoni, M Fyvie, G Iacca, J McCall, ... IEEE Transactions on Evolutionary Computation, 2024 | | 2024 |
John McCallProfessor Emeritus, School of Computing Engineering and Technology, Robert Gordon UniversityZweryfikowany adres z rgu.ac.uk