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F
S. Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., “Fair pattern discovery”, in Symposium on Applied Computing, {SAC} 2014, Gyeongju, Republic of Korea - March 24 - 28, 2014, 2014, pp. 113–120.
R. Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., “Fast Estimation of Privacy Risk in Human Mobility Data”. 2017.
L. Kotthoff, Nanni, M., Guidotti, R., and O'Sullivan, B., “Find Your Way Back: Mobility Profile Mining with Constraints”, in Principles and Practice of Constraint Programming, Cork, 2015.
M. Berlingerio, Coscia, M., and Giannotti, F., “Finding and Characterizing Communities in Multidimensional Networks”, in ASONAM, 2011, pp. 490-494.
M. Berlingerio, Coscia, M., and Giannotti, F., “Finding redundant and complementary communities in multidimensional networks”, in CIKM, 2011, pp. 2181-2184.
G. Rossetti, Milli, L., Giannotti, F., and Pedreschi, D., “Forecasting success via early adoptions analysis: A data-driven study”, PloS one, vol. 12, p. e0189096, 2017.
M. Fayzullin, Nanni, M., Pedreschi, D., and Subrahmanian, V. S., “Foundations of distributed interaction systems”, Ann. Math. Artif. Intell., vol. 28, pp. 127-168, 2000.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Foundations of Multidimensional Network Analysis”, in ASONAM, 2011, pp. 485-489.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., “The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis”, in International Conference on Smart Objects and Technologies for Social Good, 2017.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., “The fractal dimension of music: geography, popularity and sentiment analysis”, in International conference on smart objects and technologies for social good, 2017.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., “The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis”, in International Conference on Smart Objects and Technologies for Social Good, 2018.
F. Bonchi, Giannotti, F., and Pedreschi, D., “Frequent Pattern Queries for Flexible Knowledge Discovery”, in SEBD, 2004, pp. 250-261.
G. Andrienko, Andrienko, N., Hurter, C., Rinzivillo, S., and Wrobel, S., “From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data”, IEEE Conference on Visual Analytics Science and Technology. 2011.
G
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.
F. Giannotti and Latella, D., “Gate Splitting in LOTOS Specifications Using Abstract Interpretation”, in TAPSOFT, 1993, pp. 437-452.
F. Giannotti and Latella, D., “Gate Splitting in LOTOS Specifications Using Abstract Interpretation”, Sci. Comput. Program., vol. 23, pp. 127-149, 1994.
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., Pedreschi, D., and Rinzivillo, S., “A Generalisation-based Approach to Anonymising Movement Data”, 13th AGILE conference on Geographic Information Science. 2010.
F. Giannotti, Pedreschi, D., and Theodoridis, Y., “Geographic privacy-aware knowledge discovery and delivery”, in EDBT, 2009, pp. 1157-1158.
F. Giannotti, Nanni, M., Pedreschi, D., Renso, C., Rinzivillo, S., and Trasarti, R., “GeoPKDD – Geographic Privacy-aware Knowledge Discovery”, in The European Future Technologies Conference (FET 2009), 2009.
R. Guidotti, Coscia, M., Pedreschi, D., and Pennacchioli, D., “Going Beyond GDP to Nowcast Well-Being Using Retail Market Data”, in Advances in Network Science, Springer International Publishing, 2016, pp. 29–42.
R. Prieto Curiel, Pappalardo, L., Gabrielli, L., and Bishop, S. Richard, “Gravity and scaling laws of city to city migration”, PLOS ONE, vol. 13, pp. 1-19, 2018.
P. Cintia, Trasarti, R., de Macêdo, J. Antônio F., Almada, L., and Fereira, C., “A Gravity Model for Speed Estimation over Road Network”, in 2013 {IEEE} 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013 - Volume 2, 2013.
H
P. Cintia, Pappalardo, L., Pedreschi, D., Giannotti, F., and Malvaldi, M., “The harsh rule of the goals: data-driven performance indicators for football teams”, IEEE International Conference on Data Science and Advanced Analytics. 2015.
R. Guidotti, Soldani, J., Neri, D., Brogi, A., and Pedreschi, D., “Helping your docker images to spread based on explainable models”, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2018.
O. Abul, Atzori, M., Bonchi, F., and Giannotti, F., “Hiding Sensitive Trajectory Patterns”, in ICDM Workshops, 2007, pp. 693-698.

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