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Michael O'Neill 0001
Person information
- affiliation: University College Dublin, Natural Computing Research and Applications Group, Ireland
- affiliation (former): University of Limerick, Department of Computer Science and Information Systems, Ireland
Other persons with the same name
- Michael O'Neill — disambiguation page
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2020 – today
- 2024
- [c210]Romain Claret
, Michael O'Neill
, Paul Cotofrei
, Kilian Stoffel
:
Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach. GECCO Companion 2024: 1879-1887 - 2023
- [i10]Mark Connor, Michael O'Neill:
Large Language Models in Sport Science & Medicine: Opportunities, Risks and Considerations. CoRR abs/2305.03851 (2023) - [i9]Michael O'Neill, Mark Connor:
Amplifying Limitations, Harms and Risks of Large Language Models. CoRR abs/2307.04821 (2023) - 2021
- [j46]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): 92-105 (2021) - [j45]Tomasz P. Pawlak
, Michael O'Neill:
Grammatical evolution for constraint synthesis for mixed-integer linear programming. Swarm Evol. Comput. 64: 100896 (2021) - [c209]Michael O'Neill, Anthony Brabazon
:
An Exploration of Asocial and Social Learning in the Evolution of Variable-length Structures. CEC 2021: 2307-2314 - [c208]Mark Connor
, Michael O'Neill:
Optimizing the parameters of a physical exercise dose-response model: an algorithmic comparison. GECCO Companion 2021: 303-304 - [i8]Michael O'Neill, Anthony Brabazon:
An exploration of asocial and social learning in the evolution of variable-length structures. CoRR abs/2104.08239 (2021) - 2020
- [j44]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): 33-53 (2020) - [j43]Róisín Loughran
, Michael O'Neill:
Evolutionary music: applying evolutionary computation to the art of creating music. Genet. Program. Evolvable Mach. 21(1-2): 55-85 (2020) - [j42]Michael O'Neill
, Lee Spector:
Automatic programming: The open issue? Genet. Program. Evolvable Mach. 21(1-2): 251-262 (2020) - [j41]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): 119-150 (2020) - [c207]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: 1-8 - [c206]Nam Le, Anthony Brabazon
, Michael O'Neill:
Social Learning vs Self-teaching in a Multi-agent Neural Network System. EvoApplications 2020: 354-368 - [c205]David Lynch, Lester T. W. Ho
, Michael MacDonald, Michael O'Neill:
Localisation in Wireless Networks using Deep Bidirectional Recurrent Neural Networks. IJCNN 2020: 1-8 - [c204]David Lynch, James McDermott, Michael O'Neill:
Program Synthesis in a Continuous Space Using Grammars and Variational Autoencoders. PPSN (2) 2020: 33-47 - [i7]Mark Connor, Michael O'Neill:
Optimizing the Parameters of A Physical Exercise Dose-Response Model: An Algorithmic Comparison. CoRR abs/2012.09287 (2020)
2010 – 2019
- 2019
- [j40]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): 345-375 (2019) - [j39]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): 245-283 (2019) - [j38]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) - [j37]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): 419-432 (2019) - [c203]Michael O'Neill, Anthony Brabazon
:
Mutational Robustness and Structural Complexity in Grammatical Evolution. CEC 2019: 1338-1344 - [c202]Nam Le, Michael O'Neill, Anthony Brabazon
:
How Learning Strategies Can Promote an Evolving Population in Dynamic Environments. CEC 2019: 2284-2291 - [c201]Mark Connor
, David Fagan, Michael O'Neill:
Optimising Team Sport Training Plans With Grammatical Evolution. CEC 2019: 2474-2481 - [c200]Nam Le
, Anthony Brabazon
, Michael O'Neill:
The Evolution of Self-taught Neural Networks in a Multi-agent Environment. EvoApplications 2019: 457-472 - [c199]Nam Le, Michael O'Neill, Anthony Brabazon
:
Evolutionary consequences of learning strategies in a dynamic rugged landscape. GECCO 2019: 812-819 - [c198]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: 1258-1265 - 2018
- [j36]Thi Huong Chu
, Quang Uy Nguyen, Michael O'Neill
:
Semantic tournament selection for genetic programming based on statistical analysis of error vectors. Inf. Sci. 436-437: 352-366 (2018) - [c197]Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill:
Towards Understanding and Refining the General Program Synthesis Benchmark Suite with Genetic Programming. CEC 2018: 1-6 - [c196]Nam Le
, Michael O'Neill, Anthony Brabazon
:
The Baldwin Effect Reconsidered Through the Prism of Social Learning. CEC 2018: 1-8 - [c195]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: 1-8 - [c194]Takfarinas Saber
, Florian Delavernhe
, Mike Papadakis
, Michael O'Neill, Anthony Ventresque
:
A Hybrid Algorithm for Multi-Objective Test Case Selection. CEC 2018: 1-8 - [c193]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: 118-134 - [c192]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: 769-777 - [c191]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: 17-18 - [c190]Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill
:
Towards effective semantic operators for program synthesis in genetic programming. GECCO 2018: 1119-1126 - [c189]Michael O'Neill, David Fagan:
The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming. GPTP 2018: 179-192 - [c188]Róisín Loughran, Michael O'Neill:
Is Computational Creativity Domain-General? ICCC 2018: 112-119- - [c187]Brendan Cody-Kenny, Michael O'Neill, Stephen Barrett:
Performance localisation. GI@ICSE 2018: 27-34 - [c186]Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill:
Extending Program Synthesis Grammars for Grammar-Guided Genetic Programming. PPSN (1) 2018: 197-208 - [c185]Nam Le
, Michael O'Neill, Anthony Brabazon
:
Adaptive Advantage of Learning Strategies: A Study Through Dynamic Landscape. PPSN (2) 2018: 387-398 - [c184]Nam Le
, Anthony Brabazon
, Michael O'Neill:
How the "Baldwin Effect" Can Guide Evolution in Dynamic Environments. TPNC 2018: 164-175 - [c183]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: 225-237 - [p13]Conor Ryan, Michael O'Neill, J. J. Collins:
Introduction to 20 Years of Grammatical Evolution. Handbook of Grammatical Evolution 2018: 1-21 - [p12]Alberto Moraglio, James McDermott, Michael O'Neill:
Geometric Semantic Grammatical Evolution. Handbook of Grammatical Evolution 2018: 163-188 - [p11]Gilyana Borlikova
, Louis Smith, Michael Phillips, Michael O'Neill:
Business Analytics and Grammatical Evolution for the Prediction of Patient Recruitment in Multicentre Clinical Trials. Handbook of Grammatical Evolution 2018: 461-486 - [e11]Conor Ryan, Michael O'Neill, J. J. Collins:
Handbook of Grammatical Evolution. Springer 2018, ISBN 978-3-319-78716-9 [contents] - [e10]David Fagan, Carlos Martín-Vide, Michael O'Neill, Miguel A. Vega-Rodríguez:
Theory and Practice of Natural Computing - 7th International Conference, TPNC 2018, Dublin, Ireland, December 12-14, 2018, Proceedings. Lecture Notes in Computer Science 11324, Springer 2018, ISBN 978-3-030-04069-7 [contents] - [i6]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 abs/1803.01683 (2018) - 2017
- [j35]Alexandros Agapitos, Anthony Brabazon
, Michael O'Neill
:
Regularised gradient boosting for financial time-series modelling. Comput. Manag. Sci. 14(3): 367-391 (2017) - [j34]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) - [j33]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) - [j32]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): 379-383 (2017) - [j31]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): 227-238 (2017) - [j30]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): 2938-2950 (2017) - [c182]Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill
:
Semantics-Based Crossover for Program Synthesis in Genetic Programming. Artificial Evolution 2017: 58-71 - [c181]Rory Murphy, David Fagan, Michael O'Neill
:
Gems: A novel method to accelerate Evolutionary Algorithms. CEC 2017: 153-160 - [c180]Nam Le
, Michael O'Neill
, David Fagan, Anthony Brabazon
:
Social Grammatical Evolution with imitation learning for real-valued function estimation. CEC 2017: 1572-1578 - [c179]Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O'Neill
:
A Grammar Design Pattern for Arbitrary Program Synthesis Problems in Genetic Programming. EuroGP 2017: 262-277 - [c178]Róisín Loughran, Michael O'Neill
:
Clustering Agents for the Evolution of Autonomous Musical Fitness. EvoMUSART 2017: 160-175 - [c177]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: 205-220 - [c176]Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen
, Michael O'Neill:
Multilayer optimization of heterogeneous networks using grammatical genetic programming. GECCO (Companion) 2017: 3-4 - [c175]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: 263-264 - [c174]Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Erik Hemberg, Michael O'Neill
:
PonyGE2: grammatical evolution in Python. GECCO (Companion) 2017: 1194-1201 - [c173]Brendan Cody-Kenny, Michael Fenton, Adrian Ronayne, Eoghan Considine, Thomas McGuire, Michael O'Neill
:
A search for improved performance in regular expressions. GECCO 2017: 1280-1287 - [c172]Brendan Cody-Kenny, Michael Fenton, Michael O'Neill
:
From problem landscapes to language landscapes: questions in genetic improvement. GECCO (Companion) 2017: 1509-1510 - [c171]Róisín Loughran, Michael O'Neill:
Application Domains Considered in Computational Creativity. ICCC 2017: 197-204 - [c170]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: 775-782 - [c169]David Fagan, Michael O'Neill
:
Exploring Target Change Related Fitness Reduction in the Moving Point Dynamic Environment. TPNC 2017: 63-74 - [c168]Lukas Pastorek, Michael O'Neill
:
Historical Markings in Neuroevolution of Augmenting Topologies Revisited. TPNC 2017: 243-254 - [i5]Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Michael O'Neill, Erik Hemberg:
PonyGE2: Grammatical Evolution in Python. CoRR abs/1703.08535 (2017) - [i4]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 abs/1704.03522 (2017) - [i3]Brendan Cody-Kenny, Michael Fenton, Adrian Ronayne, Eoghan Considine, Thomas McGuire, Michael O'Neill:
A Search for Improved Performance in Regular Expressions. CoRR abs/1704.04119 (2017) - 2016
- [j29]Michael O'Neill
:
Semantic methods in genetic programming. Genet. Program. Evolvable Mach. 17(1): 3-4 (2016) - [j28]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) - [j27]Anthony Brabazon
, Wei Cui, Michael O'Neill
:
The raven roosting optimisation algorithm. Soft Comput. 20(2): 525-545 (2016) - [j26]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): 577-589 (2016) - [c167]Michael O'Neill
, Anthony Brabazon
, David Fagan:
An exploration of grammatical encodings to model six nations rugby match outcomes. CEC 2016: 4429-4436 - [c166]David Fagan, Michael Fenton
, Michael O'Neill
:
Exploring position independent initialisation in grammatical evolution. CEC 2016: 5060-5067 - [c165]David Lynch, Michael Fenton
, Stepán Kucera, Holger Claussen
, Michael O'Neill
:
Scheduling in Heterogeneous Networks Using Grammar-Based Genetic Programming. EuroGP 2016: 83-98 - [c164]Stefan Forstenlechner, Miguel Nicolau, David Fagan, Michael O'Neill
:
Grammar Design for Derivation Tree Based Genetic Programming Systems. EuroGP 2016: 199-214 - [c163]Alexandros Agapitos, Anthony Brabazon
, Michael O'Neill
:
Genetic Programming with Memory For Financial Trading. EvoApplications (1) 2016: 19-34 - [c162]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: 35-45 - [c161]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: 46-57 - [c160]Róisín Loughran, James McDermott, Michael O'Neill
:
Grammatical Music Composition with Dissimilarity Driven Hill Climbing. EvoMUSART 2016: 110-125 - [c159]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: 219-234 - [c158]Róisín Loughran, Alexandros Agapitos, Ahmed Kattan, Anthony Brabazon
, Michael O'Neill
:
Speaker Verification on Unbalanced Data with Genetic Programming. EvoApplications (1) 2016: 737-753 - [c157]David Lynch, Michael Fenton
, Stepán Kucera, Holger Claussen
, Michael O'Neill
:
Evolutionary Learning of Scheduling Heuristics for Heterogeneous Wireless Communications Networks. GECCO 2016: 949-956 - [c156]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: 375-381 - [c155]David Lynch, Michael Fenton, Stepán Kucera, Holger Claussen
, Michael O'Neill:
Ensemble Techniques for Scheduling in Heterogeneous Wireless Communications Networks. OR 2016: 399-404 - [c154]Thi Huong Chu, Quang Uy Nguyen, Michael O'Neill
:
Tournament Selection Based on Statistical Test in Genetic Programming. PPSN 2016: 303-312 - [i2]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 abs/1609.02031 (2016) - 2015
- [b4]Anthony Brabazon, Michael O'Neill
, Seán McGarraghy:
Natural Computing Algorithms. Natural Computing Series, Springer 2015, ISBN 978-3-662-43630-1, pp. 1-504 - [j25]Jonathan Byrne
, Michael Fenton
, Erik Hemberg, James McDermott, Michael O'Neill
:
Optimising complex pylon structures with grammatical evolution. Inf. Sci. 316: 582-597 (2015) - [c153]Michael Fenton
, David Lynch, Stepán Kucera, Holger Claussen
, Michael O'Neill
:
Load balancing in heterogeneous networks using an evolutionary algorithm. CEC 2015: 70-76 - [c152]Miguel Nicolau, Alexandros Agapitos, Michael O'Neill
, Anthony Brabazon
:
Guidelines for defining benchmark problems in Genetic Programming. CEC 2015: 1152-1159 - [c151]Róisín Loughran, James McDermott, Michael O'Neill
:
Tonality driven piano compositions with Grammatical Evolution. CEC 2015: 2168-2175 - [c150]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 - [c149]Zheng Yin, Anthony Brabazon
, Conall O'Sullivan, Michael O'Neill
:
Realised volatility forecasting: A genetic programming approach. CEC 2015: 3305-3311 - [c148]Zheng Yin, Anthony Brabazon
, Conall O'Sullivan, Michael O'Neill
:
A genetic programming approach for delta hedging. CEC 2015: 3312-3318 - [c147]Stefan Forstenlechner, Miguel Nicolau, David Fagan, Michael O'Neill
:
Introducing Semantic-Clustering Selection in Grammatical Evolution. GECCO (Companion) 2015: 1277-1284 - [p10]Anthony Brabazon
, Wei Cui, Michael O'Neill
:
Information Propagation in a Social Network: The Case of a Fish Schooling Algorithm. Propagation Phenomena in Real World Networks 2015: 27-51 - 2014
- [j24]Jonathan Byrne, Philip Cardiff
, Anthony Brabazon
, Michael O'Neill
:
Evolving parametric aircraft models for design exploration and optimisation. Neurocomputing 142: 39-47 (2014) - [j23]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) - [c146]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 - [c145]Alexandros Agapitos, Michael O'Neill
, Anthony Brabazon
:
Ensemble Bayesian Model Averaging in Genetic Programming. IEEE Congress on Evolutionary Computation 2014: 2451-2458 - [c144]Jonathan Byrne, Miguel Nicolau, Anthony Brabazon
, Michael O'Neill
:
An examination of synchronisation in Artificial Gene Regulatory Networks. IEEE Congress on Evolutionary Computation 2014: 2764-2769 - [c143]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: 2909-2916 - [c142]Alexandros Agapitos, James McDermott, Michael O'Neill, Ahmed Kattan, Anthony Brabazon
:
Higher Order Functions for Kernel Regression. EuroGP 2014: 1-12 - [c141]Jonathan Byrne, Philip Cardiff
, Anthony Brabazon
, Michael O'Neill
:
Evolving an Aircraft Using a Parametric Design System. EvoMUSART 2014: 119-130 - [c140]James McDermott, Alexandros Agapitos, Anthony Brabazon
, Michael O'Neill
:
Geometric Semantic Genetic Programming for Financial Data. EvoApplications 2014: 215-226 - [c139]