Следене
Mark Connor
Mark Connor
Natural Computing Research & Applications Group, University College Dublin
Потвърден имейл адрес: ucdconnect.ie - Начална страница
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Позовавания
Позовавания
Година
Quantifying and comparing the match demands of U18, U23, and 1ST team English professional soccer players
J Reynolds, M Connor, M Jamil, M Beato
Frontiers in physiology 12, 706451, 2021
392021
Monitoring fatigue during intermittent exercise with accelerometer-derived metrics
M Beato, KL De Keijzer, B Carty, M Connor
Frontiers in physiology 10, 451274, 2019
322019
Using multiple machine learning algorithms to classify elite and sub-elite goalkeepers in professional men’s football
M Jamil, A Phatak, S Mehta, M Beato, D Memmert, M Connor
Scientific reports 11 (1), 22703, 2021
192021
Context is key: normalization as a novel approach to sport specific preprocessing of KPI’s for match analysis in soccer
AA Phatak, S Mehta, FG Wieland, M Jamil, M Connor, M Bassek, ...
Scientific reports 12 (1), 1117, 2022
172022
The influence of possession status on the physical output of male international hockey players
E Cunniffe, M Connor, M Beato, A Grainger, W McConnell, ...
International Journal of Sports Science & Coaching 17 (2), 412-422, 2022
102022
Adaptive athlete training plan generation: An intelligent control systems approach
M Connor, M Beato, M O'Neill
Journal of Science and Medicine in Sport 25 (4), 351-355, 2022
92022
Quantifying and modelling the game speed outputs of English Championship soccer players
M Connor, D Mernagh, M Beato
Research in Sports Medicine 30 (2), 169-181, 2022
92022
Optimising team sport training plans with grammatical evolution
M Connor, D Fagan, M O’Neill
2019 ieee congress on evolutionary computation (cec), 2474-2481, 2019
72019
Optimizing the parameters of a physical exercise dose-response model: an algorithmic comparison
M Connor, M O'Neill
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
42021
Large language models in sport science & medicine: Opportunities, risks and considerations
M Connor, M O'Neill
arXiv preprint arXiv:2305.03851, 2023
32023
A comparison of training and match play external load during a congested in-season period in English League 2 football
A Fleming, M Walker, M Armitage, M Connor, M Beato
The Journal of Strength & Conditioning Research, 10.1519, 2022
22022
Amplifying Limitations, Harms and Risks of Large Language Models
M O'Neill, M Connor
arXiv preprint arXiv:2307.04821, 2023
12023
Optimizing team sport training with multi-objective evolutionary computation
M Connor, D Faganan, B Watters, F McCaffery, M O’Neill
Journal homepage: http://iacss. org/index. php? id 20 (1), 2021
12021
Analysing the physical output of international field hockey players through the lens of the phase of play
E Cunniffe, M Connor, M Beato, A Grainger, W Mcconnell, C Blake
International Journal of Sports Science & Coaching 19 (1), 338-352, 2024
2024
The relationship between VO2 max and 1200m shuttle run performance in elite academy football players
R Kavanagh, K McDaid, D Rhodes, M Connor, R Oliveira, I Varley, ...
International Journal of Sports and Exercise Medicine 9 (2), 2023
2023
Using multiple machine learning algorithms to classify distinguishing KPIs between elite defenders and their sub-elite counterparts in professional men’s football
M Jamil, A Phatak, S Mehta, M Beato, D Memmert, M Connor
. 13th World Congress of Performance Analysis of Sport 2022 & 13th …, 2022
2022
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