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ORCID8th MLSA@PKDD/ECML 2022: Grenoble, France
- Ulf Brefeld, Jesse Davis
, Jan Van Haaren, Albrecht Zimmermann:
Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers. Communications in Computer and Information Science 1783, Springer 2023, ISBN 978-3-031-27526-5
Football
- Henrik Biermann, Franz-Georg Wieland, Jens Timmer, Daniel Memmert, Ashwin Phatak:
Towards Expected Counter - Using Comprehensible Features to Predict Counterattacks. 3-13 - Laurynas Raudonius, Thomas Seidl:
Shot Analysis in Different Levels of German Football Using Expected Goals. 14-26 - Conor McCarthy, Panagiotis Tampakis, Marco Chiarandini, Morten Bredsgaard Randers, Stefan Jänicke, Arthur Zimek:
Analyzing Passing Sequences for the Prediction of Goal-Scoring Opportunities. 27-40 - Pegah Rahimian, Dayana Grayce da Silva Guerra Gomes, Fanni Berkovics, László Toka:
Let's Penetrate the Defense: A Machine Learning Model for Prediction and Valuation of Penetrative Passes. 41-52 - Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction. 53-73 - Hyunsung Kim, Chang Jo Kim, Minchul Jeong, Jaechan Lee, Jinsung Yoon, Sang-Ki Ko:
Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and Video. 74-86
Racket Sports
- Ying Zhu, Ruthuparna Naikar:
Predicting Tennis Serve Directions with Machine Learning. 89-100 - Pierre Duluard, Xinqing Li, Marc Plantevit, Céline Robardet, Romain Vuillemot:
Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery. 101-112
Cycling
- Arie-Willem de Leeuw, Tobias Oberkofler, Mathieu Heijboer, Arno J. Knobbe:
Athlete Monitoring in Professional Road Cycling Using Similarity Search on Time Series Data. 115-126
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