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ORCID7th MLSA@PKDD/ECML 2021: Virtual Event / Bilbao, Spain
- 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
Football
- Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon, Sang-Ki Ko:
6MapNet: Representing Soccer Players from Tracking Data by a Triplet Network. 3-14 - Balazs Acs, László Toka:
A Career in Football: What is Behind an Outstanding Market Value? 15-25 - Pegah Rahimian, László Toka:
Inferring the Strategy of Offensive and Defensive Play in Soccer with Inverse Reinforcement Learning. 26-38 - Roland Kovacs, László Toka:
Predicting Player Transfers in the Small World of Football. 39-50 - Alberto Barbosa, Pedro Ribeiro, Inês Dutra:
Similarity of Football Players Using Passing Sequences. 51-61 - Arsalan Sattari, Ulf Johansson, Erik Wilderoth, Jasmin Jakupovic, Peter Larsson-Green:
The Interpretable Representation of Football Player Roles Based on Passing/Receiving Patterns. 62-76
Other Team Sports
- Swarup Ranjan Behera, V. Vijaya Saradhi:
Learning Strength and Weakness Rules of Cricket Players Using Association Rule Mining. 79-92 - Connor T. Heaton, Prasenjit Mitra:
Learning to Describe Player Form in the MLB. 93-102 - Henrique Duarte Moura, Leonid Kholkine, Laurens Van Damme, Kevin Mets, Christiaan Leysen, Tom De Schepper, Peter Hellinckx, Steven Latré:
Low Cost Player Tracking in Field Hockey. 103-115 - Oliver Müller, Matthew Caron, Michael Döring, Tim Heuwinkel, Jochen Baumeister:
PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data. 116-128 - González Dos Santos Teno, Chunyan Wang, Niklas Carlsson, Patrick Lambrix:
Predicting Season Outcomes for the NBA. 129-142
Individual Sports
- Nicolas Jacquelin, Romain Vuillemot, Stefan Duffner:
Detecting Swimmers in Unconstrained Videos with Few Training Data. 145-154 - Bram Janssens, Matthias Bogaert:
Imputation of Non-participated Race Results. 155-166 - Michaël Steyaert, Jelle De Bock, Steven Verstockt:
Sensor-Based Performance Monitoring in Track Cycling. 167-177 - Bahavathy Kathirgamanathan, James Davenport, Brian Caulfield, Pádraig Cunningham:
Using Barycenters as Aggregate Representations of Repetition-Based Time-Series Exercise Data. 178-188
Non-physical Sports
- Wouter Duivesteijn, Thomas C. van Dijk:
Exceptional Gestalt Mining: Combining Magic Cards to Make Complex Coalitions Thrive. 191-204
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