Alexandros Agapitos

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Michael O'NeillFull Professor of Business Analytics, University College DublinVerified email at ucd.ie
Anthony BrabazonProfessor of Accounting, University College DublinVerified email at ucd.ie
Simon LucasProfessor of Artificial Intelligence, Queen Mary University of LondonVerified email at qmul.ac.uk
Miguel NicolauLecturer in Business Analytics, University College Dublin, IrelandVerified email at ucd.ie
Ahmed J KattanArtificial IntelligenceVerified email at ahmedkattan.net
Theodoros TheodoridisAssociate Professor in Robotics and Intelligent Systems, School of SEE, University of SalfordVerified email at salford.ac.uk
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiVerified email at nyu.edu
Huosheng HuProfessor of Robotics, University of EssexVerified email at essex.ac.uk
Clíodhna TuitePhD Student, Complex and Adaptive Systems Laboratory, University College DublinVerified email at ucdconnect.ie
Andreas KonstantinidisFrederick UniversityVerified email at frederick.ac.cy
Roisin LoughranCentre Manager, Regulated Software Research Centre, Dundalk Institute of TechnologyVerified email at dkit.ie
Matthew DysonLecturer, Newcastle UniversityVerified email at newcastle.ac.uk
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoVerified email at kaust.edu.sa
David LynchPostdoctoral Researcher, University College DublinVerified email at ucd.ie
Yevgeniya KovalchukAdvanced Research Computing Centre (ARC), University College LondonVerified email at ucl.ac.uk
Sara SilvaLASIGE, Informática, Faculdade de Ciências, Universidade de LisboaVerified email at fc.ul.pt
John Mark Swafford, PhDJava DeveloperVerified email at ucdconnect.ie
Riccardo PoliProfessor of Computer Science, CSEE, University of EssexVerified email at essex.ac.uk

Alexandros Agapitos

Postdoctoral researcher, Complex and Adaptive Systems Laboratory, University College Dublin

Verified email at ucd.ie

Artificial Intelligence Machine Learning Evolutionary Computation Combinatorial Optimisation Program Synthesis


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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	38	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
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	33	2014
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
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	28	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	21	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	18	2017

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