Seuraa
Jan Van Haaren
Jan Van Haaren
Club Brugge and KU Leuven
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.kuleuven.be - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Actions speak louder than goals: Valuing player actions in soccer
T Decroos, L Bransen, J Van Haaren, J Davis
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
1582019
Markov network structure learning: A randomized feature generation approach
J Van Haaren, J Davis
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
832012
Automatic discovery of tactics in spatio-temporal soccer match data
T Decroos, J Van Haaren, J Davis
Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018
622018
Predicting soccer highlights from spatio-temporal match event streams
T Decroos, V Dzyuba, J Van Haaren, J Davis
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
602017
Lifted generative learning of Markov logic networks
J Van Haaren, G Van den Broeck, W Meert, J Davis
Machine Learning 103 (1), 27-55, 2016
422016
Automatically discovering offensive patterns in soccer match data
JV Haaren, V Dzyuba, S Hannosset, J Davis
International Symposium on Intelligent Data Analysis, 286-297, 2015
342015
Measuring football players’ on-the-ball contributions from passes during games
L Bransen, J Van Haaren
International Workshop on machine learning and data mining for sports …, 2018
332018
Measuring soccer players’ contributions to chance creation by valuing their passes
L Bransen, J Van Haaren, M van de Velden
Journal of Quantitative Analysis in Sports 15 (2), 97-116, 2019
312019
Choke or Shine? Quantifying Soccer Players' Abilities to Perform Under Mental Pressure
L Bransen, P Robberechts, J Van Haaren, J Davis
Proceedings of the 13th MIT Sloan Sports Analytics Conference, 1-25, 2019
292019
Analyzing volleyball match data from the 2014 world championships using machine learning techniques
J Van Haaren, H Ben Shitrit, J Davis, P Fua
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
262016
TODTLER: Two-Order-Deep Transfer Learning
J Van Haaren, A Kolobov, J Davis
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence …, 2015
262015
Relational learning for football-related predictions
J Van Haaren, G Van den Broeck
Latest advances in inductive logic programming, 237-244, 2015
232015
STARSS: a spatio-temporal action rating system for soccer
T Decroos, J Van Haaren, V Dzyuba, J Davis
Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2017 …, 2017
212017
Strategy discovery in professional soccer match data
J Van Haaren, S Hannosset, J Davis
Proceedings of the KDD-16 Workshop on Large-Scale Sports Analytics, 1-4, 2016
182016
Predicting the potential of professional soccer players
R Vroonen, T Decroos, J Van Haaren, J Davis
Proceedings of the 4th Workshop on Machine Learning and Data Mining for …, 2017
152017
Player chemistry: Striving for a perfectly balanced soccer team
L Bransen, J Van Haaren
arXiv preprint arXiv:2003.01712, 2020
142020
Who will win it? An in-game win probability model for football
P Robberechts, J Van Haaren, J Davis
arXiv preprint arXiv:1906.05029, 2019
132019
Distinguishing between roles of football players in play-by-play match event data
B Aalbers, J Van Haaren
International Workshop on Machine Learning and Data Mining for Sports …, 2018
122018
VAEP: an objective approach to valuing on-the-ball actions in soccer
T Decroos, L Bransen, J Van Haaren, J Davis
Proceedings of the twenty-ninth international joint conference on artificial …, 2020
112020
Exploring disease interactions using markov networks
JV Haaren, J Davis, GAM Lappenschaar, AJ Hommersom
[Sl]: AAAI Press, 2013
92013
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Artikkelit 1–20