Search Results for author: Emanuele Massucco

Found 1 papers, 1 papers with code

PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach

1 code implementation14 Feb 2018 Luca Pappalardo, Paolo Cintia, Paolo Ferragina, Emanuele Massucco, Dino Pedreschi, Fosca Giannotti

The problem of evaluating the performance of soccer players is attracting the interest of many companies and the scientific community, thanks to the availability of massive data capturing all the events generated during a match (e. g., tackles, passes, shots, etc.).

BIG-bench Machine Learning

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