Jan Van Haaren

34 papers A* 8B 2Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Common Data Format (CDF): A Standardized Format for Match-Data in Football (Soccer). CoRR Gabriel Anzer, Kilian Arnsmeyer, Pascal Bauer, Joris Bekkers, Ulf Brefeld, Jesse Davis, Nicolas Evans, Matthias Kempe, Samuel J. Robertson, Joshua Wyatt Smith, Jan Van Haaren
2025	J	`jnl`	What Makes a Dribble Successful? Insights From 3D Pose Tracking Data. CoRR Michiel Schepers, Pieter Robberechts, Jan Van Haaren, Jesse Davis
2024	J	`jnl`	Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned. Mach. Learn. Jesse Davis, Lotte Bransen, Laurens Devos, Arne Jaspers, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy
2023	—	`ed.`	Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2022	—	`conf`	Evaluating Sports Analytics Models: Challenges, Approaches, and Lessons Learned. EBeM@IJCAI Jesse Davis, Lotte Bransen, Laurens Devos, Wannes Meert, Pieter Robberechts, Jan Van Haaren, Maaike Van Roy
2022	—	`ed.`	Machine Learning and Data Mining for Sports Analytics - 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2021	J	`jnl`	"Why Would I Trust Your Numbers?" On the Explainability of Expected Values in Soccer. CoRR Jan Van Haaren
2021	A*	`conf`	A Bayesian Approach to In-Game Win Probability in Soccer. KDD Pieter Robberechts, Jan Van Haaren, Jesse Davis
2020	—	`ed.`	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 MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2020	J	`jnl`	Player Chemistry: Striving for a Perfectly Balanced Soccer Team. CoRR Lotte Bransen, Jan Van Haaren
2020	A*	`conf`	VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract). IJCAI Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis
2019	A*	`conf`	Actions Speak Louder than Goals: Valuing Player Actions in Soccer. KDD Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis
2019	—	`ed.`	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 MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2019	J	`jnl`	Who Will Win It? An In-game Win Probability Model for Football. CoRR Pieter Robberechts, Jan Van Haaren, Jesse Davis
2018	A*	`conf`	Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data. KDD Tom Decroos, Jan Van Haaren, Jesse Davis
2018	—	`conf`	Distinguishing Between Roles of Football Players in Play-by-Play Match Event Data. MLSA@PKDD/ECML Bart Aalbers, Jan Van Haaren
2018	J	`jnl`	Distinguishing Between Roles of Football Players in Play-by-play Match Event Data. CoRR Bart Aalbers, Jan Van Haaren
2018	—	`conf`	Measuring Football Players' On-the-Ball Contributions from Passes During Games. MLSA@PKDD/ECML Lotte Bransen, Jan Van Haaren
2018	J	`jnl`	Measuring Football Players' On-the-ball Contributions From Passes During Games. CoRR Lotte Bransen, Jan Van Haaren
2017	A*	`conf`	Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. AAAI Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis
2017	—	`conf`	Predicting the Potential of Professional Soccer Players. MLSA@PKDD/ECML Ruben Vroonen, Tom Decroos, Jan Van Haaren, Jesse Davis
2017	—	`ed.`	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. MLSA@PKDD/ECML Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2017	—	`ed.`	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. MLSA@PKDD/ECML Jan Van Haaren, Mehdi Kaytoue, Jesse Davis
2017	—	`conf`	STARSS: A Spatio-Temporal Action Rating System for Soccer. MLSA@PKDD/ECML Tom Decroos, Jan Van Haaren, Vladimir Dzyuba, Jesse Davis
2016	A*	`conf`	Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques. KDD Jan Van Haaren, Horesh Ben Shitrit, Jesse Davis, Pascal Fua
2016	J	`jnl`	Lifted generative learning of Markov logic networks. Mach. Learn. Jan Van Haaren, Guy Van den Broeck, Wannes Meert, Jesse Davis
2016	—	`—`	Relational approaches for learning, transferring and mining ; Relationele benaderingen voor leren, overdragen en mijnen. Jan Van Haaren
2015	B	`conf`	Automatically Discovering Offensive Patterns in Soccer Match Data. IDA Jan Van Haaren, Vladimir Dzyuba, Siebe Hannosset, Jesse Davis
2015	B	`conf`	Mining Hierarchical Pathology Data Using Inductive Logic Programming. AIME Tim Op De Beéck, Arjen Hommersom, Jan Van Haaren, Maarten van der Heijden, Jesse Davis, Peter J. F. Lucas, Lucy Overbeek, Iris Nagtegaal
2015	A*	`conf`	TODTLER: Two-Order-Deep Transfer Learning. AAAI Jan Van Haaren, Andrey Kolobov, Jesse Davis
2013	—	`ed.`	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. MLSA Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2012	A*	`conf`	Markov Network Structure Learning: A Randomized Feature Generation Approach. AAAI Jan Van Haaren, Jesse Davis
2012	—	`conf`	Towards an Automated Pattern Selection Procedure in Software Models. ILP (Late Breaking Papers) Alexander van Den Berghe, Jan Van Haaren, Stefan Van Baelen, Yolande Berbers, Wouter Joosen
2011	—	`conf`	Relational Learning for Football-Related Predictions. ILP (Late Breaking Papers) Jan Van Haaren, Guy Van den Broeck