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D. Pennacchioli, Coscia, M., Rinzivillo, S., Giannotti, F., and Pedreschi, D., “The retail market as a complex system”, EPJ Data Science, vol. 3, pp. 1–27, 2014.
R. Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Retrieving Points of Interest from Human Systematic Movements”, in Software Engineering and Formal Methods, Springer International Publishing, 2014, pp. 294–308.
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.
A. Basu, Monreale, A., Trasarti, R., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., and Yanagihara, T., “A risk model for privacy in trajectory data”, Journal of Trust Management, vol. 2, p. 9, 2015.
A. Sirbu, Kerr, G., Crane, M., and Ruskin, H. J., “RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering.”, PLoS One, vol. 7, p. e50986, 2012.
M. Wachowicz, de Macêdo, J. A. F., Renso, C., and Ligtenberg, A., “{The Role of a Multi-tier Ontological Framework in Reasoning to Discover Meaningful Patterns of Sustainable Mobility}”, 2009.
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F. Morandin, Amato, G., Gini, R., Metta, C., Parton, M., and Pascutto, G. C., “SAI a Sensible Artificial Intelligence that plays Go”. 2019.
M. Malvaldi, Sarò Franco - Vita di Franco Turini, executive chef dell’Università di Pisa. Pisa, Italy: Pisa University Press, 2019, p. 20.
G. Andrienko, Andrienko, N., Hunter, C., Rinzivillo, S., and Wrobel, S., “Scalable Analysis of Movement Data for Extracting and Exploring Significant Places”, IEEE Transactions on Visualization and Computer Graphics, vol. 19, 2013.
A. Lulli, Gabrielli, L., Dazzi, P., Dell'Amico, M., Michiardi, P., Nanni, M., and Ricci, L., “Scalable and flexible clustering solutions for mobile phone-based population indicators”, I. J. Data Science and Analytics, vol. 4, pp. 285–299, 2017.
G. Rossetti, Berlingerio, M., and Giannotti, F., “Scalable Link Prediction on Multidimensional Networks”, in ICDM Workshops, Vancouver, 2011, pp. 979-986.
A. Baroni and Ruggieri, S., “Segregation Discovery in a Social Network of Companies”, in International Symposium on Intelligent Data Analysis, 2015.
A. Baroni and Ruggieri, S., “Segregation discovery in a social network of companies”, Journal of Intelligent Information Systems, 2017.
L. Corbucci, Monreale, A., Panigutti, C., Natilli, M., Smiraglio, S., and Pedreschi, D., “Semantic Enrichment of XAI Explanations for Healthcare”, 24th International Conference on Artificial Intelligence. 2022.
C. Parent, Spaccapietra, S., Renso, C., Andrienko, G., Andrienko, N., Bogorny, V., Damiani M L,, Gkoulalas-Divanis A,, de Macêdo, J. A. F., and Pelekis, N., “Semantic Trajectories Modeling and Analysis”, ACM Computing Surveys, vol. 45, 2013.
F. Giannotti, Pedreschi, D., and Zaniolo, C., “Semantics and Expressive Power of Nondeterministic Constructs in Deductive Databases”, J. Comput. Syst. Sci., vol. 62, pp. 15-42, 2001.
L. Pollacci, Sirbu, A., Giannotti, F., Pedreschi, D., Lucchese, C., and Muntean, C. Ioana, “Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter”, in Conference of the Italian Association for Artificial Intelligence, 2017.
S. Marchetti, Giusti, C., Pratesi, M., Salvati, N., Giannotti, F., Pedreschi, D., Rinzivillo, S., Pappalardo, L., and Gabrielli, L., “Small Area Model-Based Estimators Using Big Data Sources”, Journal of Official Statistics, vol. 31, pp. 263–281, 2015.
M. Batty, Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., and Portugali, Y., “Smart cities of the future”, European Physical Journal-Special Topics, vol. 214, p. 481, 2012.
G. Andrienko, Andrienko, N., Boldrini, C., Caldarelli, G., Cintia, P., Cresci, S., Facchini, A., Giannotti, F., Gionis, A., Guidotti, R., and others, “(So) Big Data and the transformation of the city”, International Journal of Data Science and Analytics, 2020.
R. Trasarti, Grossi, V., Natilli, M., and Rapisarda, B., “SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics.”, 30th Italian Symposium on Advanced Database Systems (SEBD – Sistemi Evoluti per Basi di Dati). Tirrenia, Pisa, 2022.
F. Giannotti, Trasarti, R., Bontcheva, K., and Grossi, V., “SoBigData: Social Mining & Big Data Ecosystem”, in Companion of the The Web Conference 2018 on The Web Conference 2018, 2018.
M. Coscia, Giannotti, F., and Pensa, R. G., “Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography”, in ASONAM, 2009, pp. 279-283.
M. Coscia, Giannotti, F., and Pensa, R. G., “Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography”, in ASONAM, 2009, pp. 279-283.
R. Guidotti, Sassi, A., Berlingerio, M., Pascale, A., and Ghaddar, B., “Social or green? A data-driven approach for more enjoyable carpooling”, in Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on, 2015.

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