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ORCID7th MLSA@PKDD/ECML 2020: Ghent, Belgium
- 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
Football
- Laurie Shaw, Sudarshan Gopaladesikan:
Routine Inspection: A Playbook for Corner Kicks. 3-16 - Pieter Robberechts, Jesse Davis:
How Data Availability Affects the Ability to Learn Good xG Models. 17-27 - Gabor Csanalosi, Gergely Dobreff, Alija Pasic, Marton Molnar, László Toka:
Low-Cost Optical Tracking of Soccer Players. 28-39 - Ashwin Vaswani, Rijul Ganguly, Het Shah, Sharan Ranjit S, Shrey Pandit, Samruddhi Bothara:
An Autoencoder Based Approach to Simulate Sports Games. 40-50 - Gergely Dobreff, Péter Revisnyei, Gábor Schuth, György Szigeti, László Toka, Alija Pasic:
Physical Performance Optimization in Football. 51-61 - Per Lindström, Ludwig Jacobsson, Niklas Carlsson, Patrick Lambrix:
Predicting Player Trajectories in Shot Situations in Soccer. 62-75
Other Team Sports
- Swarup Ranjan Behera, Vijaya V. Saradhi:
Stats Aren't Everything: Learning Strengths and Weaknesses of Cricket Players. 79-88 - Timmy Lehmus Persson, Haris Kozlica, Niklas Carlsson, Patrick Lambrix:
Prediction of Tiers in the Ranking of Ice Hockey Players. 89-100
Individual Sports
- Leonid Kholkine, Tom De Schepper, Tim Verdonck, Steven Latré:
A Machine Learning Approach for Road Cycling Race Performance Prediction. 103-112 - Jakim Berndsen, Barry Smyth, Aonghus Lawlor:
Mining Marathon Training Data to Generate Useful User Profiles. 113-125 - Anna Aniszewska-Stepien, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso:
Learning from Partially Labeled Sequences for Behavioral Signal Annotation. 126-139
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