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Alexandros Agapitos
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Publications
- 2019
- [j7]Alexandros Agapitos, Róisín Loughran, Miguel Nicolau, Simon M. Lucas, Michael O'Neill, Anthony Brabazon:
A Survey of Statistical Machine Learning Elements in Genetic Programming. IEEE Trans. Evol. Comput. 23(6): 1029-1048 (2019) - 2017
- [j6]Alexandros Agapitos, Anthony Brabazon, Michael O'Neill:
Regularised gradient boosting for financial time-series modelling. Comput. Manag. Sci. 14(3): 367-391 (2017) - [j5]Róisín Loughran, Alexandros Agapitos, Ahmed Kattan, Anthony Brabazon, Michael O'Neill:
Feature selection for speaker verification using genetic programming. Evol. Intell. 10(1-2): 1-21 (2017) - 2016
- [c33]Alexandros Agapitos, Anthony Brabazon, Michael O'Neill:
Genetic Programming with Memory For Financial Trading. EvoApplications (1) 2016: 19-34 - [c32]Róisín Loughran, Alexandros Agapitos, Ahmed Kattan, Anthony Brabazon, Michael O'Neill:
Speaker Verification on Unbalanced Data with Genetic Programming. EvoApplications (1) 2016: 737-753 - 2015
- [j2]Wei Cui, Anthony Brabazon, Alexandros Agapitos:
Extending the bat foraging metaphor for optimisation algorithm design. Int. J. Metaheuristics 4(1): 1-26 (2015) - [c31]Miguel Nicolau, Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Guidelines for defining benchmark problems in Genetic Programming. CEC 2015: 1152-1159 - [c30]Alexandros Agapitos, Michael O'Neill, Miguel Nicolau, David Fagan, Ahmed Kattan, Anthony Brabazon, Kathleen M. Curran:
Deep evolution of image representations for handwritten digit recognition. CEC 2015: 2452-2459 - 2014
- [c28]Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Ensemble Bayesian Model Averaging in Genetic Programming. IEEE Congress on Evolutionary Computation 2014: 2451-2458 - [c27]Alexandros Agapitos, James McDermott, Michael O'Neill, Ahmed Kattan, Anthony Brabazon:
Higher Order Functions for Kernel Regression. EuroGP 2014: 1-12 - [c25]James McDermott, Alexandros Agapitos, Anthony Brabazon, Michael O'Neill:
Geometric Semantic Genetic Programming for Financial Data. EvoApplications 2014: 215-226 - 2013
- [c24]Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Adaptive Distance Metrics for Nearest Neighbour Classification Based on Genetic Programming. EuroGP 2013: 1-12 - 2012
- [c22]Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Evolving Seasonal Forecasting Models with Genetic Programming in the Context of Pricing Weather-Derivatives. EvoApplications 2012: 135-144 - [c21]Alexandros Agapitos, Anthony Brabazon, Michael O'Neill:
Controlling Overfitting in Symbolic Regression Based on a Bias/Variance Error Decomposition. PPSN (1) 2012: 438-447 - [p1]Clíodhna Tuite, Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Tackling Overfitting in Evolutionary-Driven Financial Model Induction. Natural Computing in Computational Finance (4) 2012: 141-161 - 2011
- [c20]Alexandros Agapitos, Michael O'Neill, Anthony Brabazon, Theodoros Theodoridis:
Learning environment models in car racing using stateful Genetic Programming. CIG 2011: 219-226 - [c19]Alexandros Agapitos, Michael O'Neill, Anthony Brabazon, Theodoros Theodoridis:
Maximum Margin Decision Surfaces for Increased Generalisation in Evolutionary Decision Tree Learning. EuroGP 2011: 61-72 - [c18]Clíodhna Tuite, Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
A Preliminary Investigation of Overfitting in Evolutionary Driven Model Induction: Implications for Financial Modelling. EvoApplications (2) 2011: 120-130 - [c17]Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Stateful program representations for evolving technical trading rules. GECCO (Companion) 2011: 199-200 - [c16]Clíodhna Tuite, Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Early stopping criteria to counteract overfitting in genetic programming. GECCO (Companion) 2011: 203-204 - 2010
- [c14]Edgar Galván López, David Fagan, Eoin Murphy, John Mark Swafford, Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Comparing the performance of the evolvable piGrammatical Evolution genotype-phenotype map to Grammatical Evolution in the dynamic Ms. Pac-Man environment. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c11]Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Evolutionary Learning of Technical Trading Rules without Data-Mining Bias. PPSN (1) 2010: 294-303
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