| Evolving controllers for simulated car racing using object oriented genetic programming A Agapitos, J Togelius, SM Lucas Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 53 | 2007 |
| Learning recursive functions with object oriented genetic programming A Agapitos, SM Lucas European Conference on Genetic Programming, 166-177, 2006 | 48 | 2006 |
| Generating diverse opponents with multiobjective evolution A Agapitos, J Togelius, SM Lucas, J Schmidhuber, A Konstantinidis 2008 IEEE Symposium On Computational Intelligence and Games, 135-142, 2008 | 46 | 2008 |
| Evolving efficient recursive sorting algorithms A Agapitos, SM Lucas 2006 IEEE International Conference on Evolutionary Computation, 2677-2684, 2006 | 40 | 2006 |
| Choosing function sets with better generalisation performance for symbolic regression models M Nicolau, A Agapitos Genetic programming and evolvable machines 22 (1), 73-100, 2021 | 39 | 2021 |
| Understanding grammatical evolution: Grammar design M Nicolau, A Agapitos Handbook of grammatical evolution, 23-53, 2018 | 36 | 2018 |
| An investigation of fitness sharing with semantic and syntactic distance metrics QU Nguyen, XH Nguyen, M O’Neill, A Agapitos Genetic Programming: 15th European Conference, EuroGP 2012, Málaga, Spain …, 2012 | 36 | 2012 |
| Guidelines for defining benchmark problems in genetic programming M Nicolau, A Agapitos, M O'Neill, A Brabazon 2015 IEEE Congress on Evolutionary Computation (CEC), 1152-1159, 2015 | 35 | 2015 |
| A survey of statistical machine learning elements in genetic programming A Agapitos, R Loughran, M Nicolau, S Lucas, M O’Neill, A Brabazon IEEE Transactions on Evolutionary Computation 23 (6), 1029-1048, 2019 | 33 | 2019 |
| Ubiquitous robotics in physical human action recognition: A comparison between dynamic anns and gp T Theodoridis, A Agapitos, H Hu, SM Lucas 2008 IEEE International Conference on Robotics and Automation, 3064-3069, 2008 | 33 | 2008 |
| Experiments in program synthesis with grammatical evolution: A focus on integer sorting M O'Neill, M Nicolau, A Agapitos 2014 IEEE Congress on Evolutionary Computation (CEC), 1504-1511, 2014 | 31 | 2014 |
| Controlling overfitting in symbolic regression based on a bias/variance error decomposition A Agapitos, A Brabazon, M O’Neill International Conference on Parallel Problem Solving from Nature, 438-447, 2012 | 27 | 2012 |
| Evolving modular recursive sorting algorithms A Agapitos, SM Lucas European Conference on Genetic Programming, 301-310, 2007 | 26 | 2007 |
| Deep evolution of image representations for handwritten digit recognition A Agapitos, M O'Neill, M Nicolau, D Fagan, A Kattan, A Brabazon, ... 2015 IEEE Congress on Evolutionary Computation (CEC), 2452-2459, 2015 | 22 | 2015 |
| Evolutionary learning of technical trading rules without data-mining bias A Agapitos, M O’Neill, A Brabazon Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 2010 | 22 | 2010 |
| On the genetic programming of time-series predictors for supply chain management A Agapitos, M Dyson, J Kovalchuk, SM Lucas Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 21 | 2008 |
| Multiobjective techniques for the use of state in genetic programming applied to simulated car racing A Agapitos, J Togelius, SM Lucas 2007 IEEE Congress on Evolutionary Computation, 1562-1569, 2007 | 20 | 2007 |
| A preliminary investigation of overfitting in evolutionary driven model induction: Implications for financial modelling C Tuite, A Agapitos, M O’Neill, A Brabazon Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMNET …, 2011 | 19 | 2011 |
| Comparing the performance of the evolvable πgrammatical evolution genotype-phenotype map to grammatical evolution in the dynamic ms. pac-man environment E Galván-López, D Fagan, E Murphy, JM Swafford, A Agapitos, M O'Neill, ... IEEE Congress on Evolutionary Computation, 1-8, 2010 | 19 | 2010 |
| Regularised gradient boosting for financial time-series modelling A Agapitos, A Brabazon, M O’Neill Computational Management Science 14, 367-391, 2017 | 17 | 2017 |
Michael O'NeillFull Professor of Business Analytics, University College Dublinucd.ie의 이메일 확인됨
