Следене
Pieter Robberechts
Pieter Robberechts
PhD student, Dept. of Computer Science, KU Leuven
Потвърден имейл адрес: cs.kuleuven.be - Начална страница
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Позовавания
Позовавания
Година
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
952019
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
372019
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
292020
Valuing on-the-ball actions in soccer: a critical comparison of XT and VAEP
M Van Roy, P Robberechts, T Decroos, J Davis
Proceedings of the AAAI-20 Workshop on Artifical Intelligence in Team Sports …, 2020
282020
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
272020
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
222021
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
StatsBomb Innovation in Football Conference 11, 2019
202019
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
172019
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
162021
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
142022
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
132019
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
132019
Automating feature construction for multi-view time series data
A De Brabandere, P Robberechts, T Op De Beeck, J Davis
Proceedings of the ECML/PKDD Workshop on Automating Data Science, Würzburg …, 2019
102019
Measuring the effectiveness of pressing in soccer
S Merckx, P Robberechts, Y Euvrard, J Davis
Proceedings of the Workshop on Machine Learning and Data Mining for Sports …, 2021
82021
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
82021
Op De Beéck
A De Brabandere, P Robberechts
T., and Davis, J, 2019
82019
Wannesm/Dtaidistance: v2. 3.5
K Wannesm, A Yurtman, P Robberechts, D Vohl, E Ma, G Verbruggen, ...
Zenodo: Genève, Switzerland, 2022
72022
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
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