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Journal Article
I. Martinucci, Natilli, M., Lorenzoni, V., Pappalardo, L., Monreale, A., Turchetti, G., Pedreschi, D., Marchi, S., Barale, R., and de Bortoli, N., Gastroesophageal reflux symptoms among Italian university students: epidemiology and dietary correlates using automatically recorded transactions, BMC gastroenterology, vol. 18, p. 116, 2018.
L. Pappalardo, Rossi, A., Natilli, M., and Cintia, P., Explaining the difference between men’s and women’s football, PLOS ONE, vol. 16, p. e0255407, 2021.
A. Rossi, Pappalardo, L., Cintia, P., F Iaia, M., Fernàndez, J., and Medina, D., Effective injury forecasting in soccer with GPS training data and machine learning, PloS one, vol. 13, p. e0201264, 2018.
S. Bruestle, Pappalardo, L., and Guidotti, R., Defining Geographic Markets from Probabilistic Clusters: A Machine Learning Algorithm Applied to Supermarket Scanner Data, Available at SSRN 3452058, 2019.
L. Pappalardo and Simini, F., Data-driven generation of spatio-temporal routines in human mobility, Data Mining and Knowledge Discovery, 2017.
R. Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., A Data Mining Approach to Assess Privacy Risk in Human Mobility Data, ACM Trans. Intell. Syst. Technol., vol. 9, pp. 31:1–31:27, 2017.
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.
Conference Paper
M. Ferretti, Barlacchi, G., Pappalardo, L., Lucchini, L., and Lepri, B., Weak nodes detection in urban transport systems: Planning for resilience in Singapore, in 2018 IEEE 5th international conference on data science and advanced analytics (DSAA), 2018.
D. Pennacchioli, Rossetti, G., Pappalardo, L., Pedreschi, D., Giannotti, F., and Coscia, M., The Three Dimensions of Social Prominence, in Social Informatics - 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings, 2013.
S. Rinzivillo, Gabrielli, L., Nanni, M., Pappalardo, L., Pedreschi, D., and Giannotti, F., The purpose of motion: Learning activities from Individual Mobility Networks, in International Conference on Data Science and Advanced Analytics, {DSAA} 2014, Shanghai, China, October 30 - November 1, 2014, 2014.
D. Pennacchioli, Rossetti, G., Pappalardo, L., Pedreschi, D., Giannotti, F., and Coscia, M., The patterns of musical influence on the Last.Fm social network, in 22nd Italian Symposium on Advanced Database Systems, {SEBD} 2014, Sorrento Coast, Italy, June 16-18, 2014., 2014.
G. Rossetti, Pappalardo, L., and Rinzivillo, S., A novel approach to evaluate community detection algorithms on ground truth, in 7th Workshop on Complex Networks, Dijon, France, 2016.
P. Cintia, Pappalardo, L., and Pedreschi, D., Mining efficient training patterns of non-professional cyclists, in 22nd Italian Symposium on Advanced Database Systems, {SEBD} 2014, Sorrento Coast, Italy, June 16-18, 2014., 2014.
G. Rossetti, Pappalardo, L., and Pedreschi, D., Measuring tie strength in multidimensional networks, in SEDB 2013, 2013.
R. Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., Market Basket Prediction using User-Centric Temporal Annotated Recurring Sequences, in 2017 IEEE International Conference on Data Mining (ICDM), 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, 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.
G. Cornacchia, Böhm, M., Mauro, G., Nanni, M., Pedreschi, D., and Pappalardo, L., How Routing Strategies Impact Urban Emissions, in Proceedings of the 30th International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2022.
M. Natilli, Monreale, A., Guidotti, R., and Pappalardo, L., Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis, in ECML PKDD 2018 Workshops, 2018.
V. Voukelatou, Pappalardo, L., Gabrielli, L., and Giannotti, F., Estimating countries’ peace index through the lens of the world news as monitored by GDELT, in 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), 2020.
P. Cintia, Pappalardo, L., and Pedreschi, D., "Engine Matters": {A} First Large Scale Data Driven Study on Cyclists' Performance, in 13th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, TX, USA, December 7-10, 2013, 2013.
P. Resce, Vorwerk, L., Han, Z., Cornacchia, G., Alamdari, O. Isfahani, Nanni, M., Pappalardo, L., Weimer, D., and Liu, Y., Connected Vehicle Simulation Framework for Parking Occupancy Prediction (Demo Paper), in Proceedings of the 30th International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2022.
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.
G. Rossetti, Pappalardo, L., Kikas, R., Pedreschi, D., Giannotti, F., and Dumas, M., Community-centric analysis of user engagement in Skype social network, in International conference on Advances in Social Network Analysis and Mining, Paris, France, 2015.

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