ETSY: A rule-based approach to Event and Tracking data SYnchronization

ETSY: A rule-based approach to Event and Tracking data SYnchronization

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Hauptverfasser: Van Roy, Maaike, Cascioli, Lorenzo, Davis, Jesse
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Cascioli, Lorenzo
Davis, Jesse
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identifier ISSN: 1865-0929
ispartof Proceedings of the 10th Workshop on Machine Learning and Data Mining for Sports Analytics, 2024, Vol.2035, p.11-23
issn 1865-0929
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source Lirias (KU Leuven Association); Springer Books
title ETSY: A rule-based approach to Event and Tracking data SYnchronization
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