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L. Pappalardo, Rossetti, G., and Pedreschi, D., "How Well Do We Know Each Other?" Detecting Tie Strength in Multidimensional Social Networks, in International Conference on Advances in Social Networks Analysis and Mining, {ASONAM} 2012, Istanbul, Turkey, 26-29 August 2012, 2012.
L. Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., Giannotti, F., and Barabasi, A. - L., Returners and explorers dichotomy in human mobility, Nat Commun, vol. 6, 2015.
L. Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., and Giannotti, F., Comparing General Mobility and Mobility by Car, in Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI CBIC), 2013 BRICS Congress on, 2013.
L. Pappalardo, Rinzivillo, S., Qu, Z., Pedreschi, D., and Giannotti, F., {Understanding the patterns of car travel}, The European Physical Journal Special Topics, vol. 215, pp. 61–73, 2013.
L. Pappalardo, Vanhoof, M., Gabrielli, L., Smoreda, Z., Pedreschi, D., and Giannotti, F., An analytical framework to nowcast well-being using mobile phone data, International Journal of Data Science and Analytics, vol. 2, pp. 75–92, 2016.
L. Pappalardo and Cintia, P., Quantifying the relation between performance and success in soccer, Advances in Complex Systems, p. 1750014, 2017.
L. Pappalardo and Simini, F., Data-driven generation of spatio-temporal routines in human mobility, Data Mining and Knowledge Discovery, 2017.
L. Pappalardo, Barlacchi, G., Pellungrini, R., and Simini, F., Human Mobility from theory to practice: Data, Models and Applications, in Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019., 2019.
L. Pappalardo, Cintia, P., Rossi, A., Massucco, E., Ferragina, P., Pedreschi, D., and Giannotti, F., A public data set of spatio-temporal match events in soccer competitions, Scientific data, vol. 6, pp. 1–15, 2019.
L. Pappalardo, Cintia, P., Ferragina, P., Massucco, E., Pedreschi, D., and Giannotti, F., PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach, ACM Transactions on Intelligent Systems and Technology (TIST), vol. 10, pp. 1–27, 2019.