Paolo Cintia
Paolo Cintia
Kode Solutions
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Cited by
Cited by
Effective injury forecasting in soccer with GPS training data and machine learning
A Rossi, L Pappalardo, P Cintia, FM Iaia, J FernŠndez, D Medina
PloS one 13 (7), e0201264, 2018
A public data set of spatio-temporal match events in soccer competitions
L Pappalardo, P Cintia, A Rossi, E Massucco, P Ferragina, D Pedreschi, ...
Scientific data 6 (1), 236, 2019
PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach
L Pappalardo, P Cintia, P Ferragina, E Massucco, D Pedreschi, ...
ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-27, 2019
Inferring human activities from GPS tracks
B Furletti, P Cintia, C Renso, L Spinsanti
Proceedings of the 2nd ACM SIGKDD international workshop on urban computing, 1-8, 2013
The harsh rule of the goals: Data-driven performance indicators for football teams
P Cintia, F Giannotti, L Pappalardo, D Pedreschi, M Malvaldi
2015 IEEE International Conference on Data Science and Advanced Analytics†…, 2015
A network-based approach to evaluate the performance of football teams
P Cintia, S Rinzivillo, L Pappalardo
Machine learning and data mining for sports analytics workshop, Porto, Portugal, 2015
Quantifying the relation between performance and success in soccer
L Pappalardo, P Cintia
Advances in Complex Systems 21 (03n04), 1750014, 2018
The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy
P Cintia, L Pappalardo, S Rinzivillo, D Fadda, T Boschi, F Giannotti, ...
arXiv preprint arXiv:2006.03141, 2020
A narrative review for a machine learning application in sports: an example based on injury forecasting in soccer
A Rossi, L Pappalardo, P Cintia
Sports 10 (1), 5, 2021
" Engine Matters": A First Large Scale Data Driven Study on Cyclists' Performance
P Cintia, L Pappalardo, D Pedreschi
2013 IEEE 13th International Conference on Data Mining Workshops, 147-153, 2013
Explaining the difference between men’s and women’s football
L Pappalardo, A Rossi, M Natilli, P Cintia
PLoS one 16 (8), e0255407, 2021
Relationship between external and internal workloads in elite soccer players: comparison between rate of perceived exertion and training load
A Rossi, E Perri, L Pappalardo, P Cintia, FM Iaia
Applied sciences 9 (23), 5174, 2019
The Haka network: Evaluating rugby team performance with dynamic graph analysis
P Cintia, M Coscia, L Pappalardo
2016 IEEE/ACM international conference on advances in social networks†…, 2016
Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown
P Bonato, P Cintia, F Fabbri, D Fadda, F Giannotti, PL Lopalco, S Mazzilli, ...
arXiv preprint arXiv:2004.11278, 2020
Effective injury prediction in professional soccer with GPS data and machine learning
A Rossi, L Pappalardo, P Cintia, F Iaia, J FernŠndez, D Medina
stat 1050, 23, 2017
(So) Big Data and the transformation of the city
G Andrienko, N Andrienko, C Boldrini, G Caldarelli, P Cintia, S Cresci, ...
International Journal of Data Science and Analytics 11, 311-340, 2021
Discovering and understanding city events with big data: the case of rome
B Furletti, R Trasarti, P Cintia, L Gabrielli
Information 8 (3), 74, 2017
Automatic pass annotation from soccer video streams based on object detection and lstm
D Sorano, F Carrara, P Cintia, F Falchi, L Pappalardo
Machine Learning and Knowledge Discovery in Databases. Applied Data Science†…, 2021
Integration of Syrian refugees: insights from D4R, media events and housing market data
S Bertoli, P Cintia, F Giannotti, E Madinier, C Ozden, M Packard, ...
Guide to Mobile Data Analytics in Refugee Scenarios: The'Data for Refugees†…, 2019
Human perception of performance
L Pappalardo, P Cintia, D Pedreschi, F Giannotti, AL Barabasi
arXiv preprint arXiv:1712.02224, 2017
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