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Alexandros 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 2024-06-10 21:25 CEST by the dblp team
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