Evolving Efficient Recursive Sorting Algorithms. - Alexandros Agapitos; Simon M. Lucas (IEEE Congress on Evolutionary Computation, 2006)

Learning Recursive Functions with Object Oriented Genetic Programming. - Alexandros Agapitos; Simon M. Lucas (EuroGP, 2006)

Multiobjective techniques for the use of state in genetic programming applied to simulated car racing. - Alexandros Agapitos; Julian Togelius; Simon M. Lucas (IEEE Congress on Evolutionary Computation, 2007)

Evolving a Statistics Class Using Object Oriented Evolutionary Programming. - Alexandros Agapitos; Simon M. Lucas (EuroGP, 2007)

Evolving Modular Recursive Sorting Algorithms. - Alexandros Agapitos; Simon M. Lucas (EuroGP, 2007)

Evolving controllers for simulated car racing using object oriented genetic programming. - Alexandros Agapitos; Julian Togelius; Simon M. Lucas (GECCO, 2007)

Generating diverse opponents with multiobjective evolution. - Alexandros Agapitos; Julian Togelius; Simon M. Lucas; Jürgen Schmidhuber; Andreas Konstantinidis 002 (CIG, 2008)

On the genetic programming of time-series predictors for supply chain management. - Alexandros Agapitos; Matthew Dyson; Jenya Kovalchuk; Simon M. Lucas (GECCO, 2008)

Learning to recognise mental activities: genetic programming of stateful classifiers for brain-computer interfacing. - Alexandros Agapitos; Matthew Dyson; Simon M. Lucas; Francisco Sepulveda (GECCO, 2008)

Ubiquitous robotics in physical human action recognition: A comparison between dynamic ANNs and GP. - Theodoros Theodoridis; Alexandros Agapitos; Huosheng Hu; Simon M. Lucas (ICRA, 2008)

The evolution of recursive algorithms and object-oriented programs. - Alexandros Agapitos (2009)

Comparing the performance of the evolvable piGrammatical Evolution genotype-phenotype map to Grammatical Evolution in the dynamic Ms. Pac-Man environment. - Edgar Galván López; David Fagan; Eoin Murphy; John Mark Swafford; Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon (IEEE Congress on Evolutionary Computation, 2010)

Unsupervised Problem Decomposition Using Genetic Programming. - Ahmed Kattan; Alexandros Agapitos; Riccardo Poli (EuroGP, 2010)

Evolutionary Prediction of Total Electron Content over Cyprus. - Alexandros Agapitos; Andreas Konstantinidis 002; Haris Haralambous; Harris Papadopoulos (AIAI, 2010)

Evolutionary Learning of Technical Trading Rules without Data-Mining Bias. - Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon (PPSN (1), 2010)

Learning environment models in car racing using stateful Genetic Programming. - Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon; Theodoros Theodoridis (CIG, 2011)

Maximum Margin Decision Surfaces for Increased Generalisation in Evolutionary Decision Tree Learning. - Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon; Theodoros Theodoridis (EuroGP, 2011)

A Preliminary Investigation of Overfitting in Evolutionary Driven Model Induction: Implications for Financial Modelling. - Clíodhna Tuite; Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon (EvoApplications (2), 2011)

Stateful program representations for evolving technical trading rules. - Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon (GECCO (Companion), 2011)

A gaussian groundplan projection area model for evolving probabilistic classifiers. - Theodoros Theodoridis; Alexandros Agapitos; Huosheng Hu (GECCO, 2011)

Early stopping criteria to counteract overfitting in genetic programming. - Clíodhna Tuite; Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon (GECCO (Companion), 2011)

A GP-MOEA/D Approach for Modelling Total Electron Content over Cyprus - Andreas Konstantinidis 002; Haris Haralambous; Alexandros Agapitos; Harris Papadopoulos (CoRR, 2011)

An Investigation of Fitness Sharing with Semantic and Syntactic Distance Metrics. - Quang Uy Nguyen; Xuan Hoai Nguyen; Michael O'Neill 001; Alexandros Agapitos (EuroGP, 2012)

Evolving Seasonal Forecasting Models with Genetic Programming in the Context of Pricing Weather-Derivatives. - Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon (EvoApplications, 2012)

Controlling Overfitting in Symbolic Regression Based on a Bias/Variance Error Decomposition. - Alexandros Agapitos; Anthony Brabazon; Michael O'Neill 001 (PPSN (1), 2012)

An Evolutionary Algorithmic Investigation of US Corporate Payout Policy Determination. - Alexandros Agapitos; Abhinav Goyal 002; Cal Muckley (Natural Computing in Computational Finance (4), 2012)

Tackling Overfitting in Evolutionary-Driven Financial Model Induction. - Clíodhna Tuite; Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon (Natural Computing in Computational Finance (4), 2012)

Adaptive Distance Metrics for Nearest Neighbour Classification Based on Genetic Programming. - Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon (EuroGP, 2013)

Ensemble Bayesian Model Averaging in Genetic Programming. - Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon (IEEE Congress on Evolutionary Computation, 2014)

Experiments in program synthesis with grammatical evolution: A focus on Integer Sorting. - Michael O'Neill 001; Miguel Nicolau; Alexandros Agapitos (IEEE Congress on Evolutionary Computation, 2014)

Higher Order Functions for Kernel Regression. - Alexandros Agapitos; James McDermott; Michael O'Neill 001; Ahmed Kattan; Anthony Brabazon (EuroGP, 2014)

Generalisation Enhancement via Input Space Transformation: A GP Approach. - Ahmed Kattan; Michael Kampouridis; Alexandros Agapitos (EuroGP, 2014)

Geometric Semantic Genetic Programming for Financial Data. - James McDermott; Alexandros Agapitos; Anthony Brabazon; Michael O'Neill 001 (EvoApplications, 2014)

Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. - Mauro Castelli; Leonardo Vanneschi; Sara Silva; Alexandros Agapitos; Michael O'Neill 001 (IEEE Trans. Cybern., 2014)

Deep evolution of image representations for handwritten digit recognition. - Alexandros Agapitos; Michael O'Neill 001; Miguel Nicolau; David Fagan; Ahmed Kattan; Anthony Brabazon; Kathleen M. Curran (CEC, 2015)

Guidelines for defining benchmark problems in Genetic Programming. - Miguel Nicolau; Alexandros Agapitos; Michael O'Neill 001; Anthony Brabazon (CEC, 2015)

Extending the bat foraging metaphor for optimisation algorithm design. - Wei Cui; Anthony Brabazon; Alexandros Agapitos (Int. J. Metaheuristics, 2015)

Genetic Programming with Memory For Financial Trading. - Alexandros Agapitos; Anthony Brabazon; Michael O'Neill 001 (EvoApplications (1), 2016)

Speaker Verification on Unbalanced Data with Genetic Programming. - Róisín Loughran; Alexandros Agapitos; Ahmed Kattan; Anthony Brabazon; Michael O'Neill 001 (EvoApplications (1), 2016)

GP made faster with semantic surrogate modelling. - Ahmed Kattan; Alexandros Agapitos; Yew-Soon Ong; Ateq A. Alghamedi; Michael O'Neill 001 (Inf. Sci., 2016)

Regularised gradient boosting for financial time-series modelling. - Alexandros Agapitos; Anthony Brabazon; Michael O'Neill 001 (Comput. Manag. Sci., 2017)

Feature selection for speaker verification using genetic programming. - Róisín Loughran; Alexandros Agapitos; Ahmed Kattan; Anthony Brabazon; Michael O'Neill 001 (Evol. Intell., 2017)

Recursion in tree-based genetic programming. - Alexandros Agapitos; Michael O'Neill 001; Ahmed Kattan; Simon M. Lucas (Genet. Program. Evolvable Mach., 2017)

Understanding Grammatical Evolution: Grammar Design. - Miguel Nicolau; Alexandros Agapitos (Handbook of Grammatical Evolution, 2018)

On the effect of function set to the generalisation of symbolic regression models. - Miguel Nicolau; Alexandros Agapitos (GECCO (Companion), 2018)

A Survey of Statistical Machine Learning Elements in Genetic Programming. - Alexandros Agapitos; Róisín Loughran; Miguel Nicolau; Simon M. Lucas; Michael O'Neill 001; Anthony Brabazon (IEEE Trans. Evol. Comput., 2019)

SLMAD: Statistical Learning-Based Metric Anomaly Detection. - Arsalan Shahid; Gary White; Jaroslaw Diuwe; Alexandros Agapitos; Owen O'Brien (ICSOC Workshops, 2020)

Genetic Programming Multitasking. - Ahmed Kattan; Faiyaz Doctor; Yew-Soon Ong; Alexandros Agapitos (SSCI, 2020)

Offline Contextual Bandits for Wireless Network Optimization. - Miguel Suau; Alexandros Agapitos; David Lynch; Derek Farrell; Mingqi Zhou; Aleksandar Milenovic (CoRR, 2021)

Choosing function sets with better generalisation performance for symbolic regression models. - Miguel Nicolau; Alexandros Agapitos (Genet. Program. Evolvable Mach., 2021)

Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation. - Cengis Hasan; Alexandros Agapitos; David Lynch; Alberto Castagna; Giorgio Cruciata; Hao Wang; Aleksandar Milenovic (ECML/PKDD (6), 2023)

Coverage and Capacity Optimization in STAR-RISs Assisted Networks: A Machine Learning Approach. - Xinyu Gao; Wenqiang Yi; Alexandros Agapitos; Hao Wang; Yuanwei Liu (WCNC, 2023)

UCB-driven Utility Function Search for Multi-objective Reinforcement Learning. - Yucheng Shi; Alexandros Agapitos; David Lynch; Giorgio Cruciata; Cengis Hasan; Hao Wang; Yayu Yao; Aleksandar Milenovic (CoRR, 2024)

Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation. - Muzhaffar Hazman; Minh-Khoi Pham; Shweta Soundararajan; Goncalo Mordido; Leonardo Custode; David Lynch; Giorgio Cruciata; Yucheng Shi; Hongmeng Song; Wang Chao; Pan Yue; Aleksandar Milenovic; et al. (CoRR, 2025)