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ORCIDAlexandros Agapitos
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2020 – today
- 2024
[i5]Cengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic:
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation. CoRR abs/2404.19462 (2024)- [i4]Yucheng Shi, Alexandros Agapitos, David Lynch, Giorgio Cruciata, Cengis Hasan, Hao Wang, Yayu Yao, Aleksandar Milenovic:
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning. CoRR abs/2405.00410 (2024) - 2023
- [c38]Cengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic:
Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation. ECML/PKDD (6) 2023: 295-311 - [c37]Xinyu Gao, Wenqiang Yi, Alexandros Agapitos, Hao Wang, Yuanwei Liu
:
Coverage and Capacity Optimization in STAR-RISs Assisted Networks: A Machine Learning Approach. WCNC 2023: 1-6 - 2022
- [i3]Xinyu Gao, Wenqiang Yi, Alexandros Agapitos, Hao Wang, Yuanwei Liu:
Coverage and Capacity Optimization in STAR-RISs Assisted Networks: A Machine Learning Approach. CoRR abs/2204.06390 (2022) - 2021
- [j8]Miguel Nicolau, Alexandros Agapitos:
Choosing function sets with better generalisation performance for symbolic regression models. Genet. Program. Evolvable Mach. 22(1): 73-100 (2021) - [i2]Miguel Suau, Alexandros Agapitos, David Lynch, Derek Farrell, Mingqi Zhou, Aleksandar Milenovic:
Offline Contextual Bandits for Wireless Network Optimization. CoRR abs/2111.08587 (2021) - 2020
- [c36]Arsalan Shahid, Gary White, Jaroslaw Diuwe, Alexandros Agapitos, Owen O'Brien:
SLMAD: Statistical Learning-Based Metric Anomaly Detection. ICSOC Workshops 2020: 252-263 - [c35]Ahmed Kattan, Faiyaz Doctor, Yew-Soon Ong, Alexandros Agapitos:
Genetic Programming Multitasking. SSCI 2020: 1004-1012
2010 – 2019
- 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) - 2018
- [c34]Miguel Nicolau, Alexandros Agapitos:
On the effect of function set to the generalisation of symbolic regression models. GECCO (Companion) 2018: 272-273 - [p3]Miguel Nicolau, Alexandros Agapitos:
Understanding Grammatical Evolution: Grammar Design. Handbook of Grammatical Evolution 2018: 23-53 - 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) - [j4]Alexandros Agapitos, Michael O'Neill, Ahmed Kattan, Simon M. Lucas:
Recursion in tree-based genetic programming. Genet. Program. Evolvable Mach. 18(2): 149-183 (2017) - 2016
- [j3]Ahmed Kattan, Alexandros Agapitos, Yew-Soon Ong, Ateq A. Alghamedi, Michael O'Neill:
GP made faster with semantic surrogate modelling. Inf. Sci. 355-356: 169-185 (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
- [j1]Mauro Castelli, Leonardo Vanneschi, Sara Silva, Alexandros Agapitos, Michael O'Neill:
Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. IEEE Trans. Cybern. 44(1): 103-113 (2014) - [c29]Michael O'Neill, Miguel Nicolau, Alexandros Agapitos:
Experiments in program synthesis with grammatical evolution: A focus on Integer Sorting. IEEE Congress on Evolutionary Computation 2014: 1504-1511 - [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 - [c26]Ahmed Kattan, Michael Kampouridis, Alexandros Agapitos:
Generalisation Enhancement via Input Space Transformation: A GP Approach. EuroGP 2014: 61-74 - [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
- [c23]Quang Uy Nguyen, Xuan Hoai Nguyen, Michael O'Neill, Alexandros Agapitos:
An Investigation of Fitness Sharing with Semantic and Syntactic Distance Metrics. EuroGP 2012: 109-120 - [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 - [p2]Alexandros Agapitos, Abhinav Goyal, Cal Muckley:
An Evolutionary Algorithmic Investigation of US Corporate Payout Policy Determination. Natural Computing in Computational Finance (4) 2012: 123-139 - [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 - [e1]Cecilia Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, Francisco Fernández de Vega, Gianni A. Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Isabel Esparcia-Alcázar, Muddassar Farooq, William B. Langdon, Juan Julián Merelo Guervós, Mike Preuss, Hendrik Richter, Sara Silva, Anabela Simões, Giovanni Squillero, Ernesto Tarantino, Andrea Tettamanzi, Julian Togelius, Neil Urquhart, Sima Uyar, Georgios N. Yannakakis:
Applications of Evolutionary Computation - EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain, April 11-13, 2012, Proceedings. Lecture Notes in Computer Science 7248, Springer 2012, ISBN 978-3-642-29177-7 [contents] - 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 - [c15]Theodoros Theodoridis, Alexandros Agapitos, Huosheng Hu:
A gaussian groundplan projection area model for evolving probabilistic classifiers. GECCO 2011: 1339-1346 - [i1]Andreas Konstantinidis, Haris Haralambous, Alexandros Agapitos, Harris Papadopoulos:
A GP-MOEA/D Approach for Modelling Total Electron Content over Cyprus. CoRR abs/1111.5720 (2011) - 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 - [c13]Ahmed Kattan, Alexandros Agapitos, Riccardo Poli:
Unsupervised Problem Decomposition Using Genetic Programming. EuroGP 2010: 122-133 - [c12]Alexandros Agapitos, Andreas Konstantinidis, Haris Haralambous, Harris Papadopoulos:
Evolutionary Prediction of Total Electron Content over Cyprus. AIAI 2010: 387-394 - [c11]Alexandros Agapitos, Michael O'Neill, Anthony Brabazon:
Evolutionary Learning of Technical Trading Rules without Data-Mining Bias. PPSN (1) 2010: 294-303
2000 – 2009
- 2009
- [b1]Alexandros Agapitos:
The evolution of recursive algorithms and object-oriented programs. University of Essex, Colchester, UK, 2009 - 2008
- [c10]Alexandros Agapitos, Julian Togelius, Simon M. Lucas, Jürgen Schmidhuber, Andreas Konstantinidis:
Generating diverse opponents with multiobjective evolution. CIG 2008: 135-142 - [c9]Alexandros Agapitos, Matthew Dyson, Simon M. Lucas, Francisco Sepulveda:
Learning to recognise mental activities: genetic programming of stateful classifiers for brain-computer interfacing. GECCO 2008: 1155-1162 - [c8]Alexandros Agapitos, Matthew Dyson, Jenya Kovalchuk, Simon M. Lucas:
On the genetic programming of time-series predictors for supply chain management. GECCO 2008: 1163-1170 - [c7]Theodoros Theodoridis, Alexandros Agapitos, Huosheng Hu, Simon M. Lucas:
Ubiquitous robotics in physical human action recognition: A comparison between dynamic ANNs and GP. ICRA 2008: 3064-3069 - 2007
- [c6]Alexandros Agapitos, Julian Togelius, Simon M. Lucas:
Multiobjective techniques for the use of state in genetic programming applied to simulated car racing. IEEE Congress on Evolutionary Computation 2007: 1562-1569 - [c5]Alexandros Agapitos, Simon M. Lucas:
Evolving a Statistics Class Using Object Oriented Evolutionary Programming. EuroGP 2007: 291-300 - [c4]Alexandros Agapitos, Simon M. Lucas:
Evolving Modular Recursive Sorting Algorithms. EuroGP 2007: 301-310 - [c3]Alexandros Agapitos, Julian Togelius, Simon M. Lucas:
Evolving controllers for simulated car racing using object oriented genetic programming. GECCO 2007: 1543-1550 - 2006
- [c2]Alexandros Agapitos, Simon M. Lucas:
Evolving Efficient Recursive Sorting Algorithms. IEEE Congress on Evolutionary Computation 2006: 2677-2684 - [c1]Alexandros Agapitos, Simon M. Lucas:
Learning Recursive Functions with Object Oriented Genetic Programming. EuroGP 2006: 166-177
Coauthor Index
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last updated on 2024-10-07 22:17 CEST by the dblp team
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