Machine Learning and Data Mining for Sports Analytics
portes grátis
Machine Learning and Data Mining for Sports Analytics
11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers
Brefeld, Ulf; Zimmermann, Albrecht; Van Haaren, Jan; Davis, Jesse
Springer International Publishing AG
04/2025
119
Mole
Inglês
9783031866913
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.- Individual sports.
.- Characterizing Serves in Table Tennis.
.- Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics.
.- Basketball.
.- GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks.
.- Mathematical models for "off-ball" scoring prediction in basketball.
.- Soccer.
.- 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.
.- Other team sports/e-Sports.
.- Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team.
.- Team Dynamics in DotA2 through Attention Mechanism.
.- Characterizing Serves in Table Tennis.
.- Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics.
.- Basketball.
.- GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks.
.- Mathematical models for "off-ball" scoring prediction in basketball.
.- Soccer.
.- 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.
.- Other team sports/e-Sports.
.- Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team.
.- Team Dynamics in DotA2 through Attention Mechanism.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning;Data Mining;Sports Analytics;Supervised learning;Neural networks;Mixture models;Classification and regression trees;Ensemble methods;Clustering
.- Individual sports.
.- Characterizing Serves in Table Tennis.
.- Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics.
.- Basketball.
.- GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks.
.- Mathematical models for "off-ball" scoring prediction in basketball.
.- Soccer.
.- 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.
.- Other team sports/e-Sports.
.- Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team.
.- Team Dynamics in DotA2 through Attention Mechanism.
.- Characterizing Serves in Table Tennis.
.- Large Language Models on Race Commentary: Towards Granular Data in Cycling Analytics.
.- Basketball.
.- GraphEIV: A Framework for Estimating the Expected Immediate Value in Basketball Using Graph Neural Networks.
.- Mathematical models for "off-ball" scoring prediction in basketball.
.- Soccer.
.- 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.
.- Other team sports/e-Sports.
.- Automated Detection of Shot Events in Game Phases Using GNSS Data from a Single Team.
.- Team Dynamics in DotA2 through Attention Mechanism.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
