3D printed components of microbial fuel cells: Towards monolithic microbial fuel cell fabrication using additive layer manufacturing J You, RJ Preen, L Bull, J Greenman, I Ieropoulos Sustainable Energy Technologies and Assessments 19, 94-101, 2017 | 100 | 2017 |
Toward the coevolution of novel vertical-axis wind turbines RJ Preen, L Bull IEEE Transactions on Evolutionary Computation 19 (2), 284-294, 2015 | 60 | 2015 |
Towards an evolvable cancer treatment simulator RJ Preen, L Bull, A Adamatzky BioSystems 182, 1-7, 2019 | 30 | 2019 |
Towards the evolution of vertical-axis wind turbines using supershapes RJ Preen, L Bull Evolutionary Intelligence 7 (3), 155-167, 2014 | 25* | 2014 |
Discrete dynamical genetic programming in XCS RJ Preen, L Bull Proceedings of the 11th Annual Conference on Genetic and Evolutionary …, 2009 | 20 | 2009 |
Autoencoding with a classifier system RJ Preen, SW Wilson, L Bull IEEE Transactions on Evolutionary Computation 25 (6), 1079-1090, 2021 | 17* | 2021 |
On dynamical genetic programming: Random Boolean networks in learning classifier systems L Bull, RJ Preen Proceedings of the 12th European Conference on Genetic Programming, 37-48, 2009 | 17 | 2009 |
Design mining interacting wind turbines RJ Preen, L Bull Evolutionary Computation 24 (1), 89-111, 2016 | 13 | 2016 |
Evolutionary -level hypergraph partitioning with adaptive coarsening RJ Preen, J Smith IEEE Transactions on Evolutionary Computation 23 (6), 962-971, 2019 | 11 | 2019 |
Discrete and fuzzy dynamical genetic programming in the XCSF learning classifier system RJ Preen, L Bull Soft Computing 18 (1), 153-167, 2014 | 10 | 2014 |
Design mining microbial fuel cell cascades RJ Preen, J You, L Bull, IA Ieropoulos Soft Computing 23 (13), 4673–4683, 2019 | 9 | 2019 |
Dynamical genetic programming in XCSF RJ Preen, L Bull Evolutionary Computation 21 (3), 361-387, 2013 | 9 | 2013 |
GRAIMATTER Green Paper: Recommendations for disclosure control of trained machine learning (ML) models from trusted research environments (TREs) E Jefferson, J Liley, M Malone, S Reel, A Crespi-Boixader, X Kerasidou, ... arXiv preprint arXiv:2211.01656, 2022 | 8 | 2022 |
An XCS approach to forecasting financial time series RJ Preen Proceedings of the 11th Annual Conference on Genetic and Evolutionary …, 2009 | 8 | 2009 |
Fuzzy dynamical genetic programming in XCSF RJ Preen, L Bull Proceedings of the 13th Annual Conference on Genetic and Evolutionary …, 2011 | 6 | 2011 |
Deep learning with a classifier system: Initial results RJ Preen, L Bull arXiv preprint arXiv:2103.01118, 2021 | 5 | 2021 |
XCSF RJ Preen, D Pätzel https://doi.org/10.5281/zenodo.4277257, 2021 | 4 | 2021 |
On design mining: Coevolution and surrogate models RJ Preen, L Bull Artificial Life 23 (2), 186-205, 2017 | 4 | 2017 |
SACRO: Semi-Automated Checking Of Research Outputs J Smith, R Preen, M Albashir, F Ritchie, E Green, S Davy, P Stokes, ... United Nations Economic Commission for Europe Conference of European …, 2023 | 1* | 2023 |
Identifying trade entry and exit timing using mathematical technical indicators in XCS RJ Preen Learning Classifier Systems 6471, 166-184, 2010 | 1 | 2010 |