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Luca Pappalardo
Tytuł
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Returners and explorers dichotomy in human mobility
L Pappalardo, F Simini, S Rinzivillo, D Pedreschi, F Giannotti, ...
Nature communications 6 (1), 8166, 2015
3872015
Effective injury forecasting in soccer with GPS training data and machine learning
A Rossi, L Pappalardo, P Cintia, FM Iaia, J Fernández, D Medina
PloS one 13 (7), e0201264, 2018
2002018
Tiles: an online algorithm for community discovery in dynamic social networks
G Rossetti, L Pappalardo, D Pedreschi, F Giannotti
Machine Learning 106, 1213-1241, 2017
1272017
Using big data to study the link between human mobility and socio-economic development
L Pappalardo, D Pedreschi, Z Smoreda, F Giannotti
2015 IEEE International Conference on Big Data (Big Data), 871-878, 2015
1212015
Data-driven generation of spatio-temporal routines in human mobility
L Pappalardo, F Simini
Data Mining and Knowledge Discovery, 2017
1202017
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
1192019
An analytical framework to nowcast well-being using mobile phone data
L Pappalardo, M Vanhoof, L Gabrielli, Z Smoreda, D Pedreschi, ...
International Journal of Data Science and Analytics, 2016
1152016
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
1082019
Small area model-based estimators using big data sources
S Marchetti, C Giusti, M Pratesi, N Salvati, F Giannotti, D Pedreschi, ...
Journal of Official Statistics 31 (2), 263-281, 2015
1062015
Measuring objective and subjective well-being: dimensions and data sources
V Voukelatou, L Gabrielli, I Miliou, S Cresci, R Sharma, M Tesconi, ...
International Journal of Data Science and Analytics 11, 279-309, 2021
1052021
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
992015
Understanding the patterns of car travel
L Pappalardo, S Rinzivillo, Z Qu, D Pedreschi, F Giannotti
The European Physical Journal Special Topics 215, 61-73, 2013
992013
A survey on deep learning for human mobility
M Luca, G Barlacchi, B Lepri, L Pappalardo
ACM Computing Surveys (CSUR) 55 (1), 1-44, 2021
89*2021
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
702015
scikit-mobility: A Python library for the analysis, generation and risk assessment of mobility data
L Pappalardo, F Simini, G Barlacchi, R Pellungrini
Journal of Statistical Software 103 (4), 1-38, 2022
682022
Human migration: the big data perspective
A Sîrbu, G Andrienko, N Andrienko, C Boldrini, M Conti, F Giannotti, ...
International Journal of Data Science and Analytics 11, 341-360, 2021
652021
Quantifying the relation between performance and success in soccer
L Pappalardo, P Cintia
Advances in Complex Systems, https://doi.org/10.1142/S021952591750014X, 2017
602017
Human mobility modelling: exploration and preferential return meet the gravity model
L Pappalardo, S Rinzivillo, F Simini
Procedia Computer Science 83, 934-939, 2016
572016
The purpose of motion: Learning activities from individual mobility networks
S Rinzivillo, L Gabrielli, M Nanni, L Pappalardo, D Pedreschi, F Giannotti
2014 International conference on data science and advanced analytics (DSAA …, 2014
532014
Gravity and scaling laws of city to city migration
R Prieto Curiel, L Pappalardo, L Gabrielli, SR Bishop
PloS one 13 (7), e0199892, 2018
502018
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