Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers

Research output: Books and anthologiesConference proceedingsResearch

Authors

  • Ulf Brefeld (Editor)
  • Jesse Davis (Editor)
  • Jan Van Haaren (Editor)
  • Albrecht Zimmermann (Editor)

The proceedings contain 9 papers. The special focus in this conference is on Machine Learning and Data Mining for Sports Analytics. The topics include: Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics; GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks; mathematical Models for Off-Ball Scoring Prediction in Basketball; an Analysis of the Influence of Game Context on Team Playing Style; Augmented Intelligence for FIFA Predictions; transformer-Based Framework for Versatile Analysis of Events Data in Soccer; Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team.

Original languageEnglish
Place of PublicationCham
PublisherSpringer Verlag
Number of pages119
ISBN (print)978-3-031-86691-3
ISBN (electronic)978-3-031-86692-0
DOIs
Publication statusPublished - 2025
Event11th International Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA 2024 - Vilnius, Lithuania
Duration: 09.09.202409.09.2024
Conference number: 11

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer Science and Business Media Deutschland GmbH
Volume2460
ISSN (Print)1865-0929
ISSN (electronic)1865-0937

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