Michael O'Neill

ORCID

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 93

Top Venues

CEC

CoRR

Genet. Program. Evolvable Mach.

GECCO (Companion)

Publications

Michael O'Neill, Mark Connor
Amplifying Limitations, Harms and Risks of Large Language Models. CoRR (2023)
Mark Connor, Michael O'Neill
Large Language Models in Sport Science & Medicine: Opportunities, Risks and Considerations. CoRR (2023)
Mark Connor, David Fagan, Barry Watters, Fergal McCaffery, Michael O'Neill
Optimizing Team Sport Training With Multi-Objective Evolutionary Computation. Int. J. Comput. Sci. Sport 20 (1) (2021)
Michael O'Neill, Anthony Brabazon
An exploration of asocial and social learning in the evolution of variable-length structures. CoRR (2021)
Michael O'Neill, Anthony Brabazon
An Exploration of Asocial and Social Learning in the Evolution of Variable-length Structures. CEC (2021)
Mark Connor, Michael O'Neill
Optimizing the parameters of a physical exercise dose-response model: an algorithmic comparison. GECCO Companion (2021)
Nam Le, Anthony Brabazon, Michael O'Neill
Social Learning vs Self-teaching in a Multi-agent Neural Network System. EvoApplications (2020)
David Lynch, James McDermott, Michael O'Neill
Program Synthesis in a Continuous Space Using Grammars and Variational Autoencoders. PPSN (2) (2020)
Róisín Loughran, Michael O'Neill
Evolutionary music: applying evolutionary computation to the art of creating music. Genet. Program. Evolvable Mach. 21 (1-2) (2020)
Michael O'Neill, Lee Spector
Automatic programming: The open issue? Genet. Program. Evolvable Mach. 21 (1-2) (2020)
David Lynch, Lester T. W. Ho, Michael MacDonald, Michael O'Neill
Localisation in Wireless Networks using Deep Bidirectional Recurrent Neural Networks. IJCNN (2020)
Anthony Brabazon, Michael Kampouridis, Michael O'Neill
Applications of genetic programming to finance and economics: past, present, future. Genet. Program. Evolvable Mach. 21 (1-2) (2020)
Mark Connor, Michael O'Neill
Optimizing the Parameters of A Physical Exercise Dose-Response Model: An Algorithmic Comparison. CoRR (2020)
Takfarinas Saber, Xavier Gandibleux, Michael O'Neill, Liam Murphy, Anthony Ventresque
A comparative study of multi-objective machine reassignment algorithms for data centres. J. Heuristics 26 (1) (2020)
Takfarinas Saber, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill
Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks. CEC (2020)
Nam Le, Michael O'Neill, Anthony Brabazon
Evolutionary consequences of learning strategies in a dynamic rugged landscape. GECCO (2019)
Michael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill
Towards Automation and Augmentation of the Design of Schedulers for Cellular Communications Networks. Evol. Comput. 27 (2) (2019)
Nam Le, Anthony Brabazon, Michael O'Neill
The Evolution of Self-taught Neural Networks in a Multi-agent Environment. EvoApplications (2019)
David Lynch, Takfarinas Saber, Stepán Kucera, Holger Claussen, Michael O'Neill
Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks. GECCO (2019)
Mark Connor, David Fagan, Michael O'Neill
Optimising Team Sport Training Plans With Grammatical Evolution. CEC (2019)
Nam Le, Michael O'Neill, Anthony Brabazon
How Learning Strategies Can Promote an Evolving Population in Dynamic Environments. CEC (2019)
Michael O'Neill, Anthony Brabazon
Mutational Robustness and Structural Complexity in Grammatical Evolution. CEC (2019)
David Lynch, Michael Fenton, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill
Automated Self-Optimization in Heterogeneous Wireless Communications Networks. IEEE/ACM Trans. Netw. 27 (1) (2019)
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) (2019)
Takfarinas Saber, David Fagan, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks. Genet. Program. Evolvable Mach. 20 (2) (2019)
Nam Le, Anthony Brabazon, Michael O'Neill
How the "Baldwin Effect" Can Guide Evolution in Dynamic Environments. TPNC (2018)
Takfarinas Saber, David Fagan, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
A Hierarchical Approach to Grammar-Guided Genetic Programming: The Case of Scheduling in Heterogeneous Networks. TPNC (2018)
Michael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill
Towards automation & augmentation of the design of schedulers for cellular communications networks. GECCO (Companion) (2018)
Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill
Extending Program Synthesis Grammars for Grammar-Guided Genetic Programming. PPSN (1) (2018)
Brendan Cody-Kenny, Umberto Manganiello, John Farrelly, Adrian Ronayne, Eoghan Considine, Thomas McGuire, Michael O'Neill
Investigating the Evolvability of Web Page Load Time. CoRR (2018)
Nam Le, Michael O'Neill, Anthony Brabazon
Adaptive Advantage of Learning Strategies: A Study Through Dynamic Landscape. PPSN (2) (2018)
Takfarinas Saber, Florian Delavernhe, Mike Papadakis, Michael O'Neill, Anthony Ventresque
A Hybrid Algorithm for Multi-Objective Test Case Selection. CEC (2018)
Nam Le, Michael O'Neill, Anthony Brabazon
The Baldwin Effect Reconsidered Through the Prism of Social Learning. CEC (2018)
Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill
Towards effective semantic operators for program synthesis in genetic programming. GECCO (2018)
Michael O'Neill, David Fagan
The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming. GPTP (2018)
Takfarinas Saber, David Fagan, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
Multi-level Grammar Genetic Programming for Scheduling in Heterogeneous Networks. EuroGP (2018)
Brendan Cody-Kenny, Michael O'Neill, Stephen Barrett
Performance localisation. GI@ICSE (2018)
Brendan Cody-Kenny, Umberto Manganiello, John Farrelly, Adrian Ronayne, Eoghan Considine, Thomas McGuire, Michael O'Neill
Investigating the Evolvability of Web Page Load Time. EvoApplications (2018)
Róisín Loughran, Michael O'Neill
Is Computational Creativity Domain-General? ICCC (2018)
Thi Huong Chu, Quang Uy Nguyen, Michael O'Neill
Semantic tournament selection for genetic programming based on statistical analysis of error vectors. Inf. Sci. (2018)
Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill
Towards Understanding and Refining the General Program Synthesis Benchmark Suite with Genetic Programming. CEC (2018)
David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill
Managing Quality of Service Through Intelligent Scheduling in Heterogeneous Wireless Communications Networks. CEC (2018)
Brendan Cody-Kenny, Michael Fenton, Michael O'Neill
From problem landscapes to language landscapes: questions in genetic improvement. GECCO (Companion) (2017)
Michael O'Neill, Miguel Nicolau
Distilling the salient features of natural systems: Commentary on "On the mapping of genotype to phenotype in evolutionary algorithms" by Whigham, Dick and Maclaurin. Genet. Program. Evolvable Mach. 18 (3) (2017)
Alexandros Agapitos, Michael O'Neill, Ahmed Kattan, Simon M. Lucas
Recursion in tree-based genetic programming. Genet. Program. Evolvable Mach. 18 (2) (2017)
Gilyana Borlikova, Michael O'Neill, Louis Smith, Michael Phillips
Development of a multi-model system to accommodate unknown misclassification costs in prediction of patient recruitment in multicentre clinical trials. GECCO (Companion) (2017)
Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill
A Grammar Design Pattern for Arbitrary Program Synthesis Problems in Genetic Programming. EuroGP (2017)
Rory Murphy, David Fagan, Michael O'Neill
Gems: A novel method to accelerate Evolutionary Algorithms. CEC (2017)
Róisín Loughran, Michael O'Neill
Clustering Agents for the Evolution of Autonomous Musical Fitness. EvoMUSART (2017)
Nam Le, Michael O'Neill, David Fagan, Anthony Brabazon
Social Grammatical Evolution with imitation learning for real-valued function estimation. CEC (2017)
Brendan Cody-Kenny, Michael Fenton, Adrian Ronayne, Eoghan Considine, Thomas McGuire, Michael O'Neill
A search for improved performance in regular expressions. GECCO (2017)
Miguel Nicolau, Diego Perez Liebana, Michael O'Neill, Anthony Brabazon
Evolutionary Behavior Tree Approaches for Navigating Platform Games. IEEE Trans. Comput. Intell. AI Games 9 (3) (2017)
Van Loi Cao, Nhien-An Le-Khac, Miguel Nicolau, Michael O'Neill, James McDermott
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datasets. CoRR (2017)
Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Erik Hemberg, Michael O'Neill
PonyGE2: grammatical evolution in Python. GECCO (Companion) (2017)
Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
Multilayer optimization of heterogeneous networks using grammatical genetic programming. GECCO (Companion) (2017)
David Fagan, Michael O'Neill
Exploring Target Change Related Fitness Reduction in the Moving Point Dynamic Environment. TPNC (2017)
David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen, Michael O'Neill
Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customised Genetic Algorithm. EvoApplications (1) (2017)
Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Michael O'Neill, Erik Hemberg
PonyGE2: Grammatical Evolution in Python. CoRR (2017)
Róisín Loughran, Michael O'Neill
Application Domains Considered in Computational Creativity. ICCC (2017)
Brendan Cody-Kenny, Michael Fenton, Adrian Ronayne, Eoghan Considine, Thomas McGuire, Michael O'Neill
A Search for Improved Performance in Regular Expressions. CoRR (2017)
Lukas Pastorek, Michael O'Neill
Historical Markings in Neuroevolution of Augmenting Topologies Revisited. TPNC (2017)
Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
Multilayer Optimization of Heterogeneous Networks Using Grammatical Genetic Programming. IEEE Trans. Cybern. 47 (9) (2017)
Róisín Loughran, Alexandros Agapitos, Ahmed Kattan, Anthony Brabazon, Michael O'Neill
Feature selection for speaker verification using genetic programming. Evol. Intell. 10 (1-2) (2017)
Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill
Semantics-Based Crossover for Program Synthesis in Genetic Programming. Artificial Evolution (2017)
David Fagan, Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment. IJCNN (2017)
Alexandros Agapitos, Anthony Brabazon, Michael O'Neill
Regularised gradient boosting for financial time-series modelling. Comput. Manag. Sci. 14 (3) (2017)
David Fagan, Michael Fenton, Michael O'Neill
Exploring position independent initialisation in grammatical evolution. CEC (2016)
Nhien-An Le-Khac, Sammer Markos, Michael O'Neill, Anthony Brabazon, M. Tahar Kechadi
An efficient customer search tool within an Anti-Money Laundering application implemented on an international bank's dataset. CoRR (2016)
Michael O'Neill, Anthony Brabazon, David Fagan
An exploration of grammatical encodings to model six nations rugby match outcomes. CEC (2016)
Thi Huong Chu, Quang Uy Nguyen, Michael O'Neill
Tournament Selection Based on Statistical Test in Genetic Programming. PPSN (2016)
Stefan Forstenlechner, Miguel Nicolau, David Fagan, Michael O'Neill
Grammar Design for Derivation Tree Based Genetic Programming Systems. EuroGP (2016)
Michael O'Neill
Semantic methods in genetic programming. Genet. Program. Evolvable Mach. 17 (1) (2016)
Ahmed Kattan, Alexandros Agapitos, Yew-Soon Ong, Ateq A. Alghamedi, Michael O'Neill
GP made faster with semantic surrogate modelling. Inf. Sci. (2016)
David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen, Michael O'Neill
Scheduling in Heterogeneous Networks Using Grammar-Based Genetic Programming. EuroGP (2016)
Gilyana Borlikova, Michael Phillips, Louis Smith, Miguel Nicolau, Michael O'Neill
Alternative Fitness Functions in the Development of Models for Prediction of Patient Recruitment in Multicentre Clinical Trials. OR (2016)
David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen, Michael O'Neill
Ensemble Techniques for Scheduling in Heterogeneous Wireless Communications Networks. OR (2016)
Róisín Loughran, Alexandros Agapitos, Ahmed Kattan, Anthony Brabazon, Michael O'Neill
Speaker Verification on Unbalanced Data with Genetic Programming. EvoApplications (1) (2016)
Alexandros Agapitos, Anthony Brabazon, Michael O'Neill
Genetic Programming with Memory For Financial Trading. EvoApplications (1) (2016)
Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
Evolving Coverage Optimisation Functions for Heterogeneous Networks Using Grammatical Genetic Programming. EvoApplications (1) (2016)
David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen, Michael O'Neill
Evolutionary Learning of Scheduling Heuristics for Heterogeneous Wireless Communications Networks. GECCO (2016)
Van Loi Cao, Nhien-An Le-Khac, Michael O'Neill, Miguel Nicolau, James McDermott
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Data. EvoApplications (1) (2016)
Michael Fenton, Ciaran McNally, Jonathan Byrne, Erik Hemberg, James McDermott, Michael O'Neill
Discrete Planar Truss Optimization by Node Position Variation Using Grammatical Evolution. IEEE Trans. Evol. Comput. 20 (4) (2016)
Róisín Loughran, James McDermott, Michael O'Neill
Grammatical Music Composition with Dissimilarity Driven Hill Climbing. EvoMUSART (2016)
Gilyana Borlikova, Michael Phillips, Louis Smith, Michael O'Neill
Evolving Classification Models for Prediction of Patient Recruitment in Multicentre Clinical Trials Using Grammatical Evolution. EvoApplications (1) (2016)
Anthony Brabazon, Wei Cui, Michael O'Neill
The raven roosting optimisation algorithm. Soft Comput. 20 (2) (2016)
Róisín Loughran, James McDermott, Michael O'Neill
Tonality driven piano compositions with Grammatical Evolution. CEC (2015)
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)
Jonathan Byrne, Michael Fenton, Erik Hemberg, James McDermott, Michael O'Neill
Optimising complex pylon structures with grammatical evolution. Inf. Sci. 316 (2015)
Miguel Nicolau, Alexandros Agapitos, Michael O'Neill, Anthony Brabazon
Guidelines for defining benchmark problems in Genetic Programming. CEC (2015)
Zheng Yin, Anthony Brabazon, Conall O'Sullivan, Michael O'Neill
Realised volatility forecasting: A genetic programming approach. CEC (2015)
Stefan Forstenlechner, Miguel Nicolau, David Fagan, Michael O'Neill
Introducing Semantic-Clustering Selection in Grammatical Evolution. GECCO (Companion) (2015)
Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill
Load balancing in heterogeneous networks using an evolutionary algorithm. CEC (2015)
Zheng Yin, Anthony Brabazon, Conall O'Sullivan, Michael O'Neill
A genetic programming approach for delta hedging. CEC (2015)
James McDermott, Alexandros Agapitos, Anthony Brabazon, Michael O'Neill
Geometric Semantic Genetic Programming for Financial Data. EvoApplications (2014)
Alexandros Agapitos, James McDermott, Michael O'Neill, Ahmed Kattan, Anthony Brabazon
Higher Order Functions for Kernel Regression. EuroGP (2014)
Sarah Donne, Miguel Nicolau, Christopher J. Bean, Michael O'Neill
Wave height quantification using land based seismic data with grammatical evolution. IEEE Congress on Evolutionary Computation (2014)
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)
Miguel Nicolau, Michael O'Neill, Anthony Brabazon
Dynamic Index Trading Using a Gene Regulatory Network Model. EvoApplications (2014)
Alexandros Agapitos, Michael O'Neill, Anthony Brabazon
Ensemble Bayesian Model Averaging in Genetic Programming. IEEE Congress on Evolutionary Computation (2014)
Jonathan Byrne, Miguel Nicolau, Anthony Brabazon, Michael O'Neill
An examination of synchronisation in Artificial Gene Regulatory Networks. IEEE Congress on Evolutionary Computation (2014)

Michael O'Neill.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael O'Neill