- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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About Latent Roles in Forecasting Players in Team Sports ; volume:56 ; number:2 ; day:23 ; month:2 ; year:2024 ; pages:1-12 ; date:4.2024
Neural processing letters ; 56, Heft 2 (23.2.2024), 1-12, 4.2024
- Creator
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Scofano, Luca
Sampieri, Alessio
Re, Giuseppe
Almanza, Matteo
Panconesi, Alessandro
Galasso, Fabio
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s11063-024-11532-0
- URN
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urn:nbn:de:101:1-2404301253516.338662284835
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:59 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Scofano, Luca
- Sampieri, Alessio
- Re, Giuseppe
- Almanza, Matteo
- Panconesi, Alessandro
- Galasso, Fabio
- SpringerLink (Online service)
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A latent dynamic factor approach to forecasting multivariate stock market volatility
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Discovering a cohesive football team through players’ attributed collaboration networks
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Forecasting extremes of football players’ performance in matches
A Latent Factor Model for Forecasting Realized Variances
Microhomology-mediated end joining: new players join the team
Real-time Tracking of Player Identities in Team Sports
Team Roles and Hierarchic System in Group Discussion
Blood sample profile helps to injury forecasting in elite soccer players
E-Sports Player Performance Metrics for Predicting the Outcome of League of Legends Matches Considering Player Roles
A latent dynamic factor approach to forecasting multivariate stock market volatility
Identifying successful football teams in the European player transfer network
Discovering a cohesive football team through players’ attributed collaboration networks