Michael O'Neill

Michael O'Neill

University College Dublin

H-index: 49

Europe-Ireland

About Michael O'Neill

Michael O'Neill, With an exceptional h-index of 49 and a recent h-index of 25 (since 2020), a distinguished researcher at University College Dublin, specializes in the field of Evolutionary Computation, Genetic Programming, Grammatical Evolution, Business Analytics, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Amplifying Limitations, Harms and Risks of Large Language Models

Large language models in sport science & medicine: Opportunities, risks and considerations

Evolutionary Machine Learning in Finance

Methods and systems for network self-optimization using deep learning

Adaptive athlete training plan generation: An intelligent control systems approach

Optimizing the parameters of a physical exercise dose-response model: an algorithmic comparison

Grammatical evolution for constraint synthesis for mixed-integer linear programming

An exploration of asocial and social learning in the evolution of variable-length structures

Michael O'Neill Information

University

Position

Full Professor of Business Analytics

Citations(all)

12111

Citations(since 2020)

3605

Cited By

9971

hIndex(all)

49

hIndex(since 2020)

25

i10Index(all)

201

i10Index(since 2020)

84

Email

University Profile Page

University College Dublin

Google Scholar

View Google Scholar Profile

Michael O'Neill Skills & Research Interests

Evolutionary Computation

Genetic Programming

Grammatical Evolution

Business Analytics

Artificial Intelligence

Top articles of Michael O'Neill

Title

Journal

Author(s)

Publication Date

Amplifying Limitations, Harms and Risks of Large Language Models

arXiv preprint arXiv:2307.04821

Michael O'Neill

Mark Connor

2023/7/6

Large language models in sport science & medicine: Opportunities, risks and considerations

arXiv preprint arXiv:2305.03851

Mark Connor

Michael O'Neill

2023/5/5

Evolutionary Machine Learning in Finance

Michael O’Neill

Anthony Brabazon

2023/11/2

Methods and systems for network self-optimization using deep learning

2022/10/18

Adaptive athlete training plan generation: An intelligent control systems approach

Journal of Science and Medicine in Sport

Mark Connor

Marco Beato

Michael O'Neill

2022/4/1

Optimizing the parameters of a physical exercise dose-response model: an algorithmic comparison

Mark Connor

Michael O'Neill

2021/7/7

Grammatical evolution for constraint synthesis for mixed-integer linear programming

Swarm and Evolutionary Computation

Tomasz P Pawlak

Michael O’Neill

2021/7/1

An exploration of asocial and social learning in the evolution of variable-length structures

Michael O’Neill

Anthony Brabazon

2021/6/28

Optimizing team sport training with multi-objective evolutionary computation

Journal homepage: http://iacss. org/index. php? id

Mark Connor

David Faganan

Barry Watters

Fergal McCaffery

Michael O’Neill

2021

Hierarchical grammar-guided genetic programming techniques for scheduling in heterogeneous networks

Takfarinas Saber

David Lynch

David Fagan

Stepan Kucera

Holger Claussen

...

2020/7/19

A comparative study of multi-objective machine reassignment algorithms for data centres

Journal of Heuristics

Takfarinas Saber

Xavier Gandibleux

Michael O’Neill

Liam Murphy

Anthony Ventresque

2020/2

Evolutionary music: applying evolutionary computation to the art of creating music

Roisin Loughran

Michael O’Neill

2020/6

Program synthesis in a continuous space using grammars and variational autoencoders

David Lynch

James McDermott

Michael O’Neill

2020

Automatic programming: The open issue?

Genetic Programming and Evolvable Machines

Michael O’Neill

Lee Spector

2020/6

Applications of genetic programming to finance and economics: past, present, future

Genetic Programming and Evolvable Machines

Anthony Brabazon

Michael Kampouridis

Michael O’Neill

2020/6

Social Learning vs Self-teaching in a Multi-agent Neural Network System

Applications of Evolutionary Computation: 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings

Anthony Brabazon Nam Le B

Michael O’Neill

2020/4/9

Localisation in Wireless Networks using Deep Bidirectional Recurrent Neural Networks

David Lynch

Lester Ho

Michael MacDonald

Michael O’Neill

2020/7/19

See List of Professors in Michael O'Neill University(University College Dublin)

Co-Authors

H-index: 45
Holger Claussen

Holger Claussen

University College Cork

H-index: 42
Leonardo Vanneschi

Leonardo Vanneschi

Universidade Nova de Lisboa

H-index: 38
Conor Ryan

Conor Ryan

University of Limerick

H-index: 33
Anthony Brabazon

Anthony Brabazon

University College Dublin

H-index: 31
Bob McKay

Bob McKay

Australian National University

H-index: 28
James McDermott

James McDermott

National University of Ireland, Galway

academic-engine