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Pieter Robberechts
Pieter Robberechts
PhD student, Dept. of Computer Science, KU Leuven
Verified email at cs.kuleuven.be - Homepage
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Cited by
Cited by
Year
Beyond the selected completely at random assumption for learning from positive and unlabeled data
J Bekker, P Robberechts, J Davis
Joint European conference on machine learning and knowledge discovery in …, 2019
992019
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
382019
How data availability affects the ability to learn good xG models
P Robberechts, J Davis
Machine Learning and Data Mining for Sports Analytics: 7th International …, 2020
322020
Valuing on-the-ball actions in soccer: a critical comparison of XT and VAEP
T Decroos, J Davis
Proceedings of the AAAI-20 Workshop on Artifical Intelligence in Team Sports …, 2020
312020
Tibial acceleration-based prediction of maximal vertical loading rate during overground running: a machine learning approach
R Derie, P Robberechts, P Van den Berghe, J Gerlo, D De Clercq, ...
Frontiers in bioengineering and biotechnology 8, 33, 2020
262020
A bayesian approach to in-game win probability in soccer
P Robberechts, J Van Haaren, J Davis
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
232021
Leaving goals on the pitch: Evaluating decision making in soccer
M Van Roy, P Robberechts, WC Yang, L De Raedt, J Davis
arXiv preprint arXiv:2104.03252, 2021
212021
Valuing the art of pressing
P Robberechts
Proceedings of the StatsBomb Innovation In Football Conference, 1-11, 2019
192019
Who will win it? An in-game win probability model for football
P Robberechts, J Van Haaren, J Davis
arXiv preprint arXiv:1906.05029 4, 2019
182019
Forecasting the FIFA World Cup–Combining result-and goal-based team ability parameters
P Robberechts, J Davis
Machine Learning and Data Mining for Sports Analytics: 5th International …, 2019
152019
Query log analysis: Detecting anomalies in DNS traffic at a TLD resolver
P Robberechts, M Bosteels, J Davis, W Meert
ECML PKDD 2018 Workshops: DMLE 2018 and IoTStream 2018, Dublin, Ireland …, 2019
142019
Evaluating sports analytics models: Challenges, approaches, and lessons learned
J Davis, L Bransen, L Devos, W Meert, P Robberechts, J Van Haaren, ...
AI Evaluation Beyond Metrics Workshop at IJCAI 2022 3169, 1-11, 2022
132022
Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach
P Robberechts, R Derie, P Van den Berghe, J Gerlo, D De Clercq, ...
Gait & Posture 84, 87-92, 2021
132021
Learning a markov model for evaluating soccer decision making
M Van Roy, P Robberechts, WC Yang, L De Raedt, J Davis
Reinforcement Learning for Real Life (RL4RealLife) Workshop at ICML 2021, 2021
92021
Automating feature construction for multi-view time series data
A De Brabandere, P Robberechts, T Op De Beéck, J Davis
ECMLPKDD Workshop on Automating Data Science, 1-16, 2019
92019
Wannesm/Dtaidistance: v2. 3.5
K Wannesm, A Yurtman, P Robberechts, D Vohl, E Ma, G Verbruggen, ...
Zenodo: Genève, Switzerland, 2022
72022
Measuring the effectiveness of pressing in soccer
S Merckx, P Robberechts, Y Euvrard, J Davis
Workshop on Machine Learning and Data Mining for Sports Analytics, 2021
72021
un-xPass: Measuring Soccer Player's Creativity
P Robberechts, M Van Roy, J Davis
Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023
62023
Gait Event Detection in Tibial Acceleration Profiles: a Structured Learning Approach
P Robberechts, R Derie, PVD Berghe, J Gerlo, D De Clercq, V Segers, ...
Math. Comput. Sci 1910, 13372, 2019
42019
A Markov framework for learning and reasoning about strategies in professional soccer
M Van Roy, P Robberechts, WC Yang, L De Raedt, J Davis
Journal of Artificial Intelligence Research 77, 517-562, 2023
32023
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