Predicting the in-game status in soccer with machine learning using spatiotemporal player tracking data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
-
Predicting the in-game status in soccer with machine learning using spatiotemporal player tracking data ; volume:12 ; number:1 ; day:29 ; month:9 ; year:2022 ; pages:1-10 ; date:12.2022
Scientific reports ; 12, Heft 1 (29.9.2022), 1-10, 12.2022
- Klassifikation
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Sport
- Urheber
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Lang, Steffen
Wild, Raphael
Isenko, Alexander
Link, Daniel
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-022-19948-1
- URN
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urn:nbn:de:101:1-2022121709155714432811
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
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Beteiligte
- Lang, Steffen
- Wild, Raphael
- Isenko, Alexander
- Link, Daniel
- SpringerLink (Online service)
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