352 citations · 698 across the 10 of their papers we have counts for
10 papers
Coach2vec: autoencoding the playing style of soccer coaches
Paolo Cintia, Luca Pappalardo
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 ev…
Explaining the difference between men's and women's football
Luca Pappalardo, Alessio Rossi, Giuseppe Pontillo +2
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 ba…
Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM
Danilo Sorano, Fabio Carrara, Paolo Cintia +2
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 matc…
The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy
Paolo Cintia, Luca Pappalardo, Salvatore Rinzivillo +29
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 sys…
Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown
Pietro Bonato, Paolo Cintia, Francesco Fabbri +12
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 e…
PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach
Luca Pappalardo, Paolo Cintia, Paolo Ferragina +3
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 ca…
Human Perception of Performance
Luca Pappalardo, Paolo Cintia, Dino Pedreschi +2
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 ma…
Effective injury forecasting in soccer with GPS training data and machine learning
Alessio Rossi, Luca Pappalardo, Paolo Cintia +3
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…
Quantifying the relation between performance and success in soccer
Luca Pappalardo, Paolo Cintia
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 th…
An effective Time-Aware Map Matching process for low sampling GPS data
Paolo Cintia, Mirco Nanni
In the era of the proliferation of Geo-Spatial Data, induced by the diffusion of GPS devices, the map matching problem still represents an important and valuable challenge. The pro…