352 citations · 998 across the 11 of their papers we have counts for
11 papers
Future Directions in Human Mobility Science
Luca Pappalardo, Ed Manley, Vedran Sekara +1
We provide a brief review of human mobility science and present three key areas where we expect to see substantial advancements. We start from the mind and discuss the need to bett…
Gross polluters and vehicles' emissions reduction
Matteo Böhm, Mirco Nanni, Luca Pappalardo
Vehicles' emissions produce a significant share of cities' air pollution, with a substantial impact on the environment and human health. Traditional emission estimation methods use…
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…
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information
Filippo Simini, Gianni Barlacchi, Massimiliano Luca +1
The movements of individuals within and among cities influence critical aspects of our society, such as well-being, the spreading of epidemics, and the quality of the environment.…
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…
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…
Data-driven generation of spatio-temporal routines in human mobility
Luca Pappalardo, Filippo Simini
The generation of realistic spatio-temporal trajectories of human mobility is of fundamental importance in a wide range of applications, such as the developing of protocols for mob…