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S. Rinzivillo and Turini, F., “Knowledge discovery from spatial transactions”, Journal of Intelligent Information Systems, vol. 28, pp. 1-22, 2007.
S. Rinzivillo and Turini, F., “Classification in Geographical Information Systems”, in PKDD, 2004, pp. 374-385.
S. Rinzivillo, Pedreschi, D., Nanni, M., Giannotti, F., Andrienko, N., and Andrienko, G., “Visually driven analysis of movement data by progressive clustering”, Information Visualization, vol. 7, pp. 225-239, 2008.
S. Rinzivillo, de Siqueira, F. L., Gabrielli, L., Renso, C., and Bogorny, V., “Where Have You Been Today? Annotating Trajectories with DayTag”, in International Conference on Spatial and Spatio-temporal Databases (SSTD), 2013, pp. 467-471.
S. Rinzivillo, Mainardi, S., Pezzoni, F., Coscia, M., Giannotti, F., and Pedreschi, D., “Discovering the Geographical Borders of Human Mobility”, KI - Künstliche Intelligenz, 2012.
M. Francesca Romano and Natilli, M., “Wine tourism in Italy: New profiles, styles of consumption, ways of touring”, Turizam: međunarodni znanstveno-stručni časopis, vol. 57, pp. 463–475, 2009.
M. Francesca Romano and Natilli, M., “Wine and Food Tourism First European Conference”, Edizioni ETS Pisa, 2012.
A. Romei and Ruggieri, S., “A multidisciplinary survey on discrimination analysis”, The Knowledge Engineering Review, vol. 29, pp. 582–638, 2014.
A. Romei, Ruggieri, S., and Turini, F., “Discrimination discovery in scientific project evaluation: A case study”, Expert Systems with Applications, vol. 40, pp. 6064–6079, 2013.
A. Romei, Ruggieri, S., and Turini, F., “The layered structure of company share networks”, in Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on, 2015.
G. Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., “NDlib: a python library to model and analyze diffusion processes over complex networks”, International Journal of Data Science and Analytics, pp. 1–19, 2017.
G. Rossetti, Milli, L., and Cazabet, R., “CDLIB: a python library to extract, compare and evaluate communities from complex networks”, Applied Network Science, vol. 4, p. 52, 2019.
G. Rossetti, Berlingerio, M., and Giannotti, F., “Link Prediction su Reti Multidimensionali”, in Sistemi Evoluti per Basi di Dati - {SEBD} 2011, Proceedings of the Nineteenth Italian Symposium on Advanced Database Systems, Maratea, Italy, June 26-29, 2011, 2011.
G. Rossetti, Citraro, S., and Milli, L., “Conformity: a Path-Aware Homophily measure for Node-Attributed Networks”, IEEE Intelligent SystemsIEEE Intelligent Systems, pp. 1 - 1, 2021.
G. Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., “NDlib: a python library to model and analyze diffusion processes over complex networks”, International Journal of Data Science and Analytics, vol. 5, pp. 61–79, 2018.
G. Rossetti, Pedreschi, D., and Giannotti, F., “Node-centric Community Discovery: From static to dynamic social network analysis”, Online Social Networks and Media, vol. 3, pp. 32–48, 2017.
G. Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., “NDlib: Studying Network Diffusion Dynamics”, in IEEE International Conference on Data Science and Advanced Analytics, DSA, Tokyo, 2017.
G. Rossetti, Guidotti, R., Miliou, I., Pedreschi, D., and Giannotti, F., “A supervised approach for intra-/inter-community interaction prediction in dynamic social networks”, Social Network Analysis and Mining, vol. 6, p. 86, 2016.
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.
G. Rossetti and Cazabet, R., “Community Discovery in Dynamic Networks: a Survey”, Journal ACM Computing Surveys, vol. 51, 2018.
G. Rossetti, Guidotti, R., Pennacchioli, D., Pedreschi, D., and Giannotti, F., “Interaction Prediction in Dynamic Networks exploiting Community Discovery”, in International conference on Advances in Social Network Analysis and Mining, ASONAM 2015, Paris, France, 2015.
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.
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.
G. Rossetti, Pappalardo, L., Kikas, R., Pedreschi, D., Giannotti, F., and Dumas, M., “Homophilic network decomposition: a community-centric analysis of online social services”, Social Network Analysis and Mining, vol. 6, p. 103, 2016.
G. Rossetti, Pappalardo, L., Pedreschi, D., and Giannotti, F., “Tiles: an online algorithm for community discovery in dynamic social networks”, Machine Learning, vol. 106, pp. 1213–1241, 2017.

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