Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Cintia, Paolo"'
Autor:
Cintia, Paolo, Pappalardo, Luca
Capturing the playing style of professional soccer coaches is a complex, and yet barely explored, task in sports analytics. Nowadays, the availability of digital data describing every relevant spatio-temporal aspect of soccer matches, allows for capt
Externí odkaz:
http://arxiv.org/abs/2106.15444
The performance of soccer players is one of most discussed aspects by many actors in the soccer industry: from supporters to journalists, from coaches to talent scouts. Unfortunately, the dashboards available online provide no effective way to compar
Externí odkaz:
http://arxiv.org/abs/2105.04293
Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football. While the two sports are often compared based on the players' physical attributes, we analyze the spatio-tempora
Externí odkaz:
http://arxiv.org/abs/2101.01662
Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of data that describe all the spatio-temporal events that occur in each match. These events (e.g., passes, shots, fouls) are collected by human op
Externí odkaz:
http://arxiv.org/abs/2007.06475
Autor:
Cintia, Paolo, Pappalardo, Luca, Rinzivillo, Salvatore, Fadda, Daniele, Boschi, Tobia, Giannotti, Fosca, Chiaromonte, Francesca, Bonato, Pietro, Fabbri, Francesco, Penone, Francesco, Savarese, Marcello, Calabrese, Francesco, Guzzetta, Giorgio, Riccardo, Flavia, Marziano, Valentina, Poletti, Piero, Trentini, Filippo, Bella, Antonino, Andrianou, Xanthi, Del Manso, Martina, Fabiani, Massimo, Bellino, Stefania, Boros, Stefano, Urdiales, Alberto Mateo, Vescio, Maria Fenicia, Brusaferro, Silvio, Rezza, Giovanni, Pezzotti, Patrizio, Ajelli, Marco, Merler, Stefano, Vineis, Paolo, Pedreschi, Dino
In 2020, countries affected by the COVID-19 pandemic implemented various non-pharmaceutical interventions to contrast the spread of the virus and its impact on their healthcare systems and economies. Using Italian data at different geographic scales,
Externí odkaz:
http://arxiv.org/abs/2006.03141
Autor:
Bonato, Pietro, Cintia, Paolo, Fabbri, Francesco, Fadda, Daniele, Giannotti, Fosca, Lopalco, Pier Luigi, Mazzilli, Sara, Nanni, Mirco, Pappalardo, Luca, Pedreschi, Dino, Penone, Francesco, Rinzivillo, Salvatore, Rossetti, Giulio, Savarese, Marcello, Tavoschi, Lara
Understanding collective mobility patterns is crucial to plan the restart of production and economic activities, which are currently put in stand-by to fight the diffusion of the epidemics. In this report, we use mobile phone data to infer the moveme
Externí odkaz:
http://arxiv.org/abs/2004.11278
Autor:
Pappalardo, Luca, Cintia, Paolo, Ferragina, Paolo, Massucco, Emanuele, Pedreschi, Dino, Giannotti, Fosca
Publikováno v:
PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach. ACM Trans. Intell. Syst. Technol. 10, 5, Article 59 (September 2019), 27 pages
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
Externí odkaz:
http://arxiv.org/abs/1802.04987
Humans are routinely asked to evaluate the performance of other individuals, separating success from failure and affecting outcomes from science to education and sports. Yet, in many contexts, the metrics driving the human evaluation process remain u
Externí odkaz:
http://arxiv.org/abs/1712.02224
Autor:
Rossi, Alessio, Pappalardo, Luca, Cintia, Paolo, Iaia, Marcello, Fernandez, Javier, Medina, Daniel
Publikováno v:
PLoS One 13(7) 2018
Injuries have a great impact on professional soccer, due to their large influence on team performance and the considerable costs of rehabilitation for players. Existing studies in the literature provide just a preliminary understanding of which facto
Externí odkaz:
http://arxiv.org/abs/1705.08079
Autor:
Pappalardo, Luca, Cintia, Paolo
Publikováno v:
Advances in Complex Systems, 2017
The availability of massive data about sports activities offers nowadays the opportunity to quantify the relation between performance and success. In this study, we analyze more than 6,000 games and 10 million events in six European leagues and inves
Externí odkaz:
http://arxiv.org/abs/1705.00885