Luca Pappalardo
Cited by
Cited by
Returners and explorers dichotomy in human mobility
L Pappalardo, F Simini, S Rinzivillo, D Pedreschi, F Giannotti, ...
Nature communications 6 (1), 1-8, 2015
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
Tiles: an online algorithm for community discovery in dynamic social networks
G Rossetti, L Pappalardo, D Pedreschi, F Giannotti
Machine Learning 106 (8), 1213-1241, 2017
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
Understanding the patterns of car travel
L Pappalardo, S Rinzivillo, Z Qu, D Pedreschi, F Giannotti
The European Physical Journal Special Topics 215 (1), 61-73, 2013
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
Small area model-based estimators using big data sources
S Marchetti, C Giusti, M Pratesi, N Salvati, F Giannotti, D Pedreschi, ...
Data-driven generation of spatio-temporal routines in human mobility
L Pappalardo, F Simini
Data Mining and Knowledge Discovery, 2017
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
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
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), 1-15, 2019
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,, 2017
" How Well Do We Know Each Other?" Detecting Tie Strength in Multidimensional Social Networks
L Pappalardo, G Rossetti, D Pedreschi
2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012
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
Human mobility modelling: exploration and preferential return meet the gravity model
L Pappalardo, S Rinzivillo, F Simini
Procedia Computer Science 83, 934-939, 2016
A novel approach to evaluate community detection algorithms on ground truth
G Rossetti, L Pappalardo, S Rinzivillo
Complex networks VII, 133-144, 2016
A data mining approach to assess privacy risk in human mobility data
R Pellungrini, L Pappalardo, F Pratesi, A Monreale
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (3), 1-27, 2017
" 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
scikit-mobility: A Python library for the analysis, generation and risk assessment of mobility data
L Pappalardo, F Simini, G Barlacchi, R Pellungrini
arXiv preprint arXiv:1907.07062, 2019
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