Genetic Programming Bibliography entries for Alexandros Agapitos

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GP coauthors/coeditors: Simon M Lucas, Julian Togelius, Matthew Dyson, Francisco Sepulveda, Yevgeniya Kovalchuk, Jurgen Schmidhuber, Andreas Constantinides, Michael O'Neill, Anthony Brabazon, Haris Haralambous, Harris Papadopoulos, Theodoros Theodoridis, Abhinav Goyal, Cal Muckley, James McDermott, Ahmed Kattan, Miguel Nicolau, David Fagan, Kathleen Curran, Roisin Loughran, Edgar Galvan Lopez, Eoin Murphy, John Mark Swafford, Riccardo Poli, Michael Kampouridis, Yew-Soon Ong, Ateq A Alghamedi, Faiyaz Doctor, Quang Uy Nguyen, Nguyen Xuan Hoai, Huosheng Hu, Cliodhna Tuite,

Genetic Programming Articles by Alexandros Agapitos

  1. Miguel Nicolau and Alexandros Agapitos. Choosing function sets with better generalisation performance for symbolic regression models. Genetic Programming and Evolvable Machines, 22(1):73-100, 2021. details

  2. Alexandros Agapitos and Roisin Loughran and Miguel Nicolau and Simon Lucas and Michael O'Neill and Anthony Brabazon. A Survey of Statistical Machine Learning Elements in Genetic Programming. IEEE Transactions on Evolutionary Computation, 23(6):1029-1048, 2019. details

  3. Roisin Loughran and Alexandros Agapitos and Ahmed Kattan and Anthony Brabazon and Michael O'Neill. Feature selection for speaker verification using genetic programming. Evolutionary Intelligence, 10(1-2):1-21, 2017. details

  4. Alexandros Agapitos and Anthony Brabazon and Michael O'Neill. Regularised Gradient Boosting for Financial Time-series Modelling. Computational Management Science, 14(3):367-391, 2017. details

  5. Alexandros Agapitos and Michael O'Neill and Ahmed Kattan and Simon M. Lucas. Recursion in tree-based genetic programming. Genetic Programming and Evolvable Machines, 18(2):149-183, 2017. details

  6. Ahmed Kattan and Alexandros Agapitos and Yew-Soon Ong and Ateq A. Alghamedi and Michael O'Neill. GP made faster with semantic surrogate modelling. Information Sciences, 355-356:169-185, 2016. details

  7. Andreas Konstantinidis and Haris Haralambous and Alexandros Agapitos and Harris Papadopoulos. A GP-MOEA/D approach for modelling total electron content over Cyprus. International Journal of Engineering Intelligent Systems, 18(3/4):193-203, 2010. Special issue Artificial Intelligence Applications and Innovations 2010 Lazaros Iliadis, Andreas Andreou and Harris Papadopoulos. details

Genetic Programming conference papers by Alexandros Agapitos

  1. Ahmed Kattan and Faiyaz Doctor and Yew-Soon Ong and Alexandros Agapitos. Genetic Programming Multitasking. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1004-1012, 2020. details

  2. Roisin Loughran and Alexandros Agapitos and Ahmed Kattan and Anthony Brabazon and Michael O'Neill. Speaker Verification on Unbalanced Data with Genetic Programming. In Giovanni Squillero and Paolo Burelli editors, 19th European Conference on the Applications of Evolutionary Computation, volume 9597, pages 737-753, Porto, Portugal, 2016. Springer. details

  3. Alexandros Agapitos and Anthony Brabazon and Michael O'Neill. Genetic Programming with Memory For Financial Trading. In Giovanni Squillero and Paolo Burelli editors, 19th European Conference on the Applications of Evolutionary Computation, volume 9597, pages 19-34, Porto, Portugal, 2016. Springer. details

  4. Miguel Nicolau and Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Guidelines for defining benchmark problems in Genetic Programming. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 1152-1159, Sendai, Japan, 2015. IEEE Press. details

  5. Alexandros Agapitos and Michael O'Neill and Miguel Nicolau and David Fagan and Ahmed Kattan and Kathleen Curran. Deep Evolution of Feature Representations for Handwritten Digit Recognition. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2452-2459, Sendai, Japan, 2015. IEEE Press. details

  6. James McDermott and Alexandros Agapitos and Anthony Brabazon and Michael O'Neill. Geometric Semantic Genetic Programming for Financial Data. In Anna Isabel Esparcia-Alcazar and Antonio Miguel Mora editors, 17th European Conference on the Applications of Evolutionary Computation, volume 8602, pages 215-226, Granada, 2014. Springer. details

  7. Ahmed Kattan and Michael Kampouridis and Alexandros Agapitos. Generalisation Enhancement via Input Space Transformation: A GP Approach. In Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, 17th European Conference on Genetic Programming, volume 8599, pages 61-74, Granada, Spain, 2014. Springer. details

  8. Alexandros Agapitos and James McDermott and Michael O'Neill and Ahmed Kattan and Anthony Brabazon. Higher Order Functions for Kernel Regression. In Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, 17th European Conference on Genetic Programming, volume 8599, pages 1-12, Granada, Spain, 2014. Springer. details

  9. Michael O'Neill and Miguel Nicolau and Alexandros Agapitos. Experiments in Program Synthesis with Grammatical Evolution: A Focus on Integer Sorting. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 1504-1511, Beijing, China, 2014. details

  10. Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Ensemble Bayesian Model Averaging in Genetic Programming. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 2451-2458, Beijing, China, 2014. details

  11. Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Adaptive Distance Metrics for Nearest Neighbour Classification based on Genetic Programming. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 1-12, Vienna, Austria, 2013. Springer Verlag. details

  12. Quang Uy Nguyen and Xuan Hoai Nguyen and Michael O'Neill and Alexandros Agapitos. An Investigation of Fitness Sharing with Semantic and Syntactic Distance Metrics. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 109-120, Malaga, Spain, 2012. Springer Verlag. details

  13. Alexandros Agapitos and Anthony Brabazon and Michael O'Neill. Controlling Overfitting in Symbolic Regression Based on a Bias/Variance Error Decomposition. In Carlos A. Coello Coello and Vincenzo Cutello and Kalyanmoy Deb and Stephanie Forrest and Giuseppe Nicosia and Mario Pavone editors, Parallel Problem Solving from Nature, PPSN XII (part 1), volume 7491, pages 438-447, Taormina, Italy, 2012. Springer. details

  14. Cliodhna Tuite and Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. A Preliminary Investigation of Overfitting in Evolutionary Driven Model Induction: Implications for Financial Modelling. In Cecilia Di Chio and Anthony Brabazon and Gianni Di Caro and Rolf Drechsler and Marc Ebner and Muddassar Farooq and Joern Grahl and Gary Greenfield and Christian Prins and Juan Romero and Giovanni Squillero and Ernesto Tarantino and Andrea G. B. Tettamanzi and Neil Urquhart and A. Sima Uyar editors, Applications of Evolutionary Computing, EvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, EvoTRANSLOG, volume 6625, pages 120-130, Turin, Italy, 2011. Springer Verlag. details

  15. Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Evolving Seasonal Forecasting Models with Genetic Programming in the Context of Pricing Weather-Derivatives. In Cecilia Di Chio and Alexandros Agapitos and Stefano Cagnoni and Carlos Cotta and F. Fernandez de Vega and Gianni A. Di Caro and Rolf Drechsler and Aniko Ekart and Anna I Esparcia-Alcazar and Muddassar Farooq and William B. Langdon and Juan J. Merelo and Mike Preuss and Hendrik Richter and Sara Silva and Anabela Simoes and Giovanni Squillero and Ernesto Tarantino and Andrea G. B. Tettamanzi and Julian Togelius and Neil Urquhart and A. Sima Uyar and Georgios N. Yannakakis editors, Applications of Evolutionary Computing, EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, EvoSTOC, volume 7248, pages 135-144, Malaga, Spain, 2011. Springer Verlag. details

  16. Alexandros Agapitos and Michael O'Neill and Anthony Brabazon and Theodoros Theodoridis. Maximum Margin Decision Surfaces for Increased Generalisation in Evolutionary Decision Tree Learning. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 61-72, Turin, Italy, 2011. Springer Verlag. details

  17. Cliodhna Tuite and Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Early stopping criteria to counteract overfitting in genetic programming. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 203-204, Dublin, Ireland, 2011. ACM. details

  18. Theodoros Theodoridis and Alexandros Agapitos and Huosheng Hu. A gaussian groundplan projection area model for evolving probabilistic classifiers. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1339-1346, Dublin, Ireland, 2011. ACM. details

  19. Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Stateful program representations for evolving technical trading rules. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 199-200, Dublin, Ireland, 2011. ACM. details

  20. Alexandros Agapitos and Michael O'Neill and Anthony Brabazon and Theodoros Theodoridis. Learning Environment Models in Car Racing Using Stateful Genetic Programming. In Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, pages 219-226, Seoul, South Korea, 2011. IEEE. details

  21. Edgar Galvan-Lopez and David Fagan and Eoin Murphy and John Mark Swafford and Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Comparing the Performance of the Evolvable PiGrammatical Evolution Genotype-Phenotype Map to Grammatical Evolution in the Dynamic Ms. Pac-Man Environment. In 2010 IEEE World Congress on Computational Intelligence, pages 1587-1594, Barcelona, Spain, 2010. IEEE Press. details

  22. Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Promoting the generalisation of genetically induced trading rules. In G. Kapetanios and O. Linton and M. McAleer and E. Ruiz editors, Proceedings of the 4th International Conference on Computational and Financial Econometrics CFE'10, page E678, Senate House, University of London, UK, 2010. ERCIM. details

  23. Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Evolutionary Learning of Technical Trading Rules without Data-mining Bias. In Robert Schaefer and Carlos Cotta and Joanna Kolodziej and Guenter Rudolph editors, PPSN 2010 11th International Conference on Parallel Problem Solving From Nature, volume 6238, pages 294-303, Krakow, Poland, 2010. Springer. details

  24. Theodoros Theodoridis and Alexandros Agapitos and Huosheng Hu. A QA-TSK fuzzy model vs evolutionary decision trees towards nonlinear action pattern recognition. In Proceedings of the 2010 IEEE International Conference on Information and Automation, pages 1813-1818, Harbin, China, 2010. IEEE. details

  25. Ahmed Kattan and Alexandros Agapitos and Riccardo Poli. Unsupervised Problem Decomposition using Genetic Programming. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 122-133, Istanbul, 2010. Springer. details

  26. Alexandros Agapitos and Andreas Konstantinidis and Haris Haralambous and Harris Papadopoulos. Evolutionary Prediction of Total Electron Content over Cyprus. In Harris Papadopoulos and Andreas Andreou and Max Bramer editors, 6th IFIP Advances in Information and Communication Technology AIAI 2010, volume 339, pages 387-394, Larnaca, Cyprus, 2010. Springer. details

  27. Theodoros Theodoridis and Alexandros Agapitos and Huosheng Hu and Simon M. Lucas. Mechanical Attributes for Modeling and Classification of Physical Activities. In 2009 IEEE International Conference on Information and Automation (ICIA-2009), pages 528-533, Zhuhai, Macau, China, 2009. IEEE. details

  28. Theodoros Theodoridis and Alexandros Agapitos and Huosheng Hu and Simon M. Lucas. Ubiquitous Robotics in Physical Human Action Recognition: A Comparison Between Dynamic ANNs and GP. In 2008 IEEE International Conference on Robotics and Automation, pages 3064-3069, 2008. details

  29. Alexandros Agapitos and Matthew Dyson and Simon M. Lucas and Francisco Sepulveda. Learning to recognise mental activities: genetic programming of stateful classifiers for brain-computer interfacing. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1155-1162, Atlanta, GA, USA, 2008. ACM. details

  30. Alexandros Agapitos and Julian Togelius and Simon M. Lucas and Jurgen Schmidhuber and Andreas Konstantinidis. Generating Diverse Opponents with Multiobjective Evolution. In Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, pages 135-142, Perth, Australia, 2008. IEEE. details

  31. Alexandros Agapitos and Matthew Dyson and Jenya Kovalchuk and Simon Mark Lucas. On the genetic programming of time-series predictors for supply chain management. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1163-1170, Atlanta, GA, USA, 2008. ACM. details

  32. Alexandros Agapitos and Simon M. Lucas. Evolving Modular Recursive Sorting Algorithms. In Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar editors, Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 301-310, Valencia, Spain, 2007. Springer. details

  33. Alexandros Agapitos and Simon M. Lucas. Evolving a Statistics Class Using Object Oriented Evolutionary Programming. In Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar editors, Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 291-300, Valencia, Spain, 2007. Springer. details

  34. Alexandros Agapitos and Julian Togelius and Simon M. Lucas. Multiobjective Techniques for the Use of State in Genetic Programming Applied to Simulated Car Racing. In Dipti Srinivasan and Lipo Wang editors, 2007 IEEE Congress on Evolutionary Computation, pages 1562-1569, Singapore, 2007. IEEE Press. details

  35. Alexandros Agapitos and Julian Togelius and Simon Mark Lucas. Evolving controllers for simulated car racing using object oriented genetic programming. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1543-1550, London, 2007. ACM Press. details

  36. Alexandros Agapitos and Simon M. Lucas. Learning Recursive Functions with Object Oriented Genetic Programming. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 166-177, Budapest, Hungary, 2006. Springer. details

  37. Alexandros Agapitos and Simon M. Lucas. Evolving Efficient Recursive Sorting Algorithms. In Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 9227-9234, Vancouver, 2006. IEEE Press. details

Genetic Programming book chapters by Alexandros Agapitos

  1. Miguel Nicolau and Alexandros Agapitos. Understanding Grammatical Evolution: Grammar Design. In Conor Ryan and Michael O'Neill and J. J. Collins editors, Handbook of Grammatical Evolution, chapter 2, pages 23-53. Springer, 2018. details

  2. Cliodhna Tuite and Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Tackling Overfitting in Evolutionary-driven Financial Model Induction. In Anthony Brabazon and Michael O'Neill and Dietmar Maringer editors, Natural Computing in Computational Finance (Volume 4), volume 380 of Studies in Computational Intelligence, chapter 8, pages 141-161. Springer, 2012. details

  3. Alexandros Agapitos and Abhinav Goyal and Cal Muckley. An Evolutionary Algorithmic Investigation of US Corporate Payout Policy. In Anthony Brabazon and Michael O'Neill and Dietmar Maringer editors, Natural Computing in Computational Finance (Volume 4), volume 380 of Studies in Computational Intelligence, chapter 7, pages 123-139. Springer, 2012. details

  4. Alexandros Agapitos and Michael O'Neill and Anthony Brabazon. Genetic Programming for the Induction of Seasonal Forecasts: A Study on Weather Derivatives. In Doumpos Michael and Zopounidis Constantin and Pardalos Panos editors, Financial Decision Making Using Computational Intelligence, volume 70 of Springer Optimization and Its Applications, chapter 6, pages 153-182. Springer, 2012. Due: July 31, 2012. details