| Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers O Regnier-Coudert, J McCall, R Lothian, T Lam, S McClinton, J N’Dow Artificial intelligence in medicine 55 (1), 25-35, 2012 | 30 | 2012 |
| An island model genetic algorithm for Bayesian network structure learning O Regnier-Coudert, J McCall 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 14 | 2012 |
| Using a Markov network as a surrogate fitness function in a genetic algorithm AEI Brownlee, O Regnier-Coudert, JAW McCall, S Massie IEEE Congress on Evolutionary Computation, 1-8, 2010 | 13 | 2010 |
| An application of a GA with Markov network surrogate to feature selection AEI Brownlee, O Regnier-Coudert, JAW McCall, S Massie, S Stulajter International Journal of Systems Science 44 (11), 2039-2056, 2013 | 10 | 2013 |
| RK-EDA: A novel random key based estimation of distribution algorithm M Ayodele, J McCall, O Regnier-Coudert International Conference on Parallel Problem Solving from Nature, 849-858, 2016 | 8 | 2016 |
| Factoradic representation for permutation optimisation O Regnier-Coudert, J McCall International Conference on Parallel Problem Solving from Nature, 332-341, 2014 | 6 | 2014 |
| A random key based estimation of distribution algorithm for the permutation flowshop scheduling problem M Ayodele, J McCall, O Regnier-Coudert, L Bowie 2017 IEEE Congress on Evolutionary Computation (CEC), 2364-2371, 2017 | 5 | 2017 |
| Competing mutating agents for bayesian network structure learning O Regnier-Coudert, J McCall International Conference on Parallel Problem Solving from Nature, 216-225, 2012 | 5 | 2012 |
| Privacy-preserving approach to bayesian network structure learning from distributed data O Regnier-Coudert, J McCall Proceedings of the 13th annual conference companion on Genetic and …, 2011 | 5 | 2011 |
| Estimation of distribution algorithms for the Multi-Mode Resource Constrained Project scheduling problem M Ayodele, J McCall, O Regnier-Coudert 2017 IEEE Congress on Evolutionary Computation (CEC), 1579-1586, 2017 | 4 | 2017 |
| Truck and trailer scheduling in a real world, dynamic and heterogeneous context O Regnier-Coudert, J McCall, M Ayodele, S Anderson Transportation research part E: logistics and transportation review 93, 389-408, 2016 | 4 | 2016 |
| Landscape analysis for hyperheuristic bayesian network structure learning on unseen problems Y Wu, J McCall, D Corne, O Regnier-Coudert 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 4 | 2012 |
| BPGA-EDA for the multi-mode resource constrained project scheduling problem M Ayodele, J McCall, O Regnier-Coudert 2016 IEEE Congress on Evolutionary Computation (CEC), 3417-3424, 2016 | 3 | 2016 |
| Probabilistic model enhanced genetic algorithm for multi-mode resource constrained project scheduling problem M Ayodele, J McCall, O Regnier-Coudert Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 3 | 2015 |
| Fitness landscape of the factoradic representation on the permutation flowshop scheduling problem ME Marmion, O Regnier-Coudert International Conference on Learning and Intelligent Optimization, 151-164, 2015 | 2 | 2015 |
| Geometric-based sampling for permutation optimization O Regnier-Coudert, J McCall, M Ayodele Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 2 | 2013 |
| Bayesian network structure learning using characteristic properties of permutation representations with applications to prostate cancer treatment. O Regnier-Coudert Robert Gordon University, 2013 | 2 | 2013 |
| An Analysis of Indirect Optimisation Strategies for Scheduling C Neau, O Regnier-Coudert, J McCall 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 1 | 2018 |
| Ant colony and surrogate tree-structured models for orderings-based Bayesian network learning JI Alonso-Barba, L de la Ossa, O Regnier-Coudert, J McCall, JA Gámez, ... Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 1 | 2015 |
| Evolutionary approaches to dynamic earth observation satellites mission planning under uncertainty G Povéda, O Regnier-Coudert, F Teichteil-Königsbuch, G Dupont, ... Proceedings of the Genetic and Evolutionary Computation Conference, 1302-1310, 2019 | | 2019 |
John McCallProfessor of Computing, Robert Gordon UniversityVerified email at rgu.ac.uk