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2020 – today
- 2024
[j2]Jesse Davis
, Lotte Bransen, Laurens Devos, Arne Jaspers, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy:
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned. Mach. Learn. 113(9): 6977-7010 (2024)- 2023
- [e7]Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers. Communications in Computer and Information Science 1783, Springer 2023, ISBN 978-3-031-27526-5 [contents] - 2022
- [c17]Jesse Davis, Lotte Bransen, Laurens Devos, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy:
Evaluating Sports Analytics Models: Challenges, Approaches, and Lessons Learned. EBeM@IJCAI 2022 - [e6]Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Machine Learning and Data Mining for Sports Analytics - 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers. Communications in Computer and Information Science 1571, Springer 2022, ISBN 978-3-031-02043-8 [contents] - 2021
- [c16]Pieter Robberechts, Jan Van Haaren, Jesse Davis:
A Bayesian Approach to In-Game Win Probability in Soccer. KDD 2021: 3512-3521 - [i5]Jan Van Haaren:
"Why Would I Trust Your Numbers?" On the Explainability of Expected Values in Soccer. CoRR abs/2105.13778 (2021) - 2020
- [c15]Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis:
VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract). IJCAI 2020: 4696-4700 - [e5]Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Machine Learning and Data Mining for Sports Analytics - 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1324, Springer 2020, ISBN 978-3-030-64911-1 [contents] - [i4]Lotte Bransen, Jan Van Haaren:
Player Chemistry: Striving for a Perfectly Balanced Soccer Team. CoRR abs/2003.01712 (2020)
2010 – 2019
- 2019
- [c14]Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis:
Actions Speak Louder than Goals: Valuing Player Actions in Soccer. KDD 2019: 1851-1861 - [e4]Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Machine Learning and Data Mining for Sports Analytics - 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings. Lecture Notes in Computer Science 11330, Springer 2019, ISBN 978-3-030-17273-2 [contents] - [i3]Pieter Robberechts, Jan Van Haaren, Jesse Davis:
Who Will Win It? An In-game Win Probability Model for Football. CoRR abs/1906.05029 (2019) - 2018
- [c13]Tom Decroos, Jan Van Haaren, Jesse Davis:
Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data. KDD 2018: 223-232 - [c12]Lotte Bransen, Jan Van Haaren:
Measuring Football Players' On-the-Ball Contributions from Passes During Games. MLSA@PKDD/ECML 2018: 3-15 - [c11]Bart Aalbers, Jan Van Haaren:
Distinguishing Between Roles of Football Players in Play-by-Play Match Event Data. MLSA@PKDD/ECML 2018: 31-41 - [i2]Bart Aalbers, Jan Van Haaren:
Distinguishing Between Roles of Football Players in Play-by-play Match Event Data. CoRR abs/1809.05173 (2018) - [i1]Lotte Bransen, Jan Van Haaren:
Measuring Football Players' On-the-ball Contributions From Passes During Games. CoRR abs/1810.02252 (2018) - 2017
- [c10]Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis:
Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. AAAI 2017: 1302-1308 - [c9]Ruben Vroonen, Tom Decroos, Jan Van Haaren, Jesse Davis:
Predicting the Potential of Professional Soccer Players. MLSA@PKDD/ECML 2017: 1-10 - [c8]Tom Decroos, Jan Van Haaren, Vladimir Dzyuba, Jesse Davis:
STARSS: A Spatio-Temporal Action Rating System for Soccer. MLSA@PKDD/ECML 2017: 11-20 - [e3]Jan Van Haaren, Mehdi Kaytoue, Jesse Davis:
Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, MLSA@PKDD/ECML 2016, Riva del Garda, Italy, September 19, 2016. CEUR Workshop Proceedings 1842, CEUR-WS.org 2017 [contents] - [e2]Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, September 11th, 2015. CEUR Workshop Proceedings 1970, CEUR-WS.org 2017 [contents] - 2016
- [b1]Jan Van Haaren:
Relational approaches for learning, transferring and mining ; Relationele benaderingen voor leren, overdragen en mijnen. Katholieke Universiteit Leuven, Belgium, 2016 - [j1]Jan Van Haaren, Guy Van den Broeck, Wannes Meert, Jesse Davis:
Lifted generative learning of Markov logic networks. Mach. Learn. 103(1): 27-55 (2016) - [c7]Jan Van Haaren, Horesh Ben Shitrit, Jesse Davis, Pascal Fua:
Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques. KDD 2016: 627-634 - 2015
- [c6]Jan Van Haaren, Andrey Kolobov, Jesse Davis:
TODTLER: Two-Order-Deep Transfer Learning. AAAI 2015: 3007-3015 - [c5]Tim Op De Beéck, Arjen Hommersom, Jan Van Haaren, Maarten van der Heijden, Jesse Davis, Peter J. F. Lucas, Lucy Overbeek, Iris Nagtegaal:
Mining Hierarchical Pathology Data Using Inductive Logic Programming. AIME 2015: 76-85 - [c4]Jan Van Haaren, Vladimir Dzyuba, Siebe Hannosset, Jesse Davis:
Automatically Discovering Offensive Patterns in Soccer Match Data. IDA 2015: 286-297 - 2013
- [e1]Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), Prague, Czech Republic, September 27th, 2013. CEUR Workshop Proceedings 1969, CEUR-WS.org 2013 [contents] - 2012
- [c3]Jan Van Haaren, Jesse Davis:
Markov Network Structure Learning: A Randomized Feature Generation Approach. AAAI 2012: 1148-1154 - [c2]Alexander van Den Berghe, Jan Van Haaren, Stefan Van Baelen, Yolande Berbers, Wouter Joosen:
Towards an Automated Pattern Selection Procedure in Software Models. ILP (Late Breaking Papers) 2012: 68-73 - 2011
- [c1]Jan Van Haaren, Guy Van den Broeck:
Relational Learning for Football-Related Predictions. ILP (Late Breaking Papers) 2011: 237-244
Coauthor Index
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