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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, ANGEL: efficient, and effective, node-centric community discovery in static and dynamic networks, Applied Network Science, vol. 5, pp. 1–23, 2020.
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, Morini, V., and Pollacci, L., Capturing Political Polarization of Reddit Submissions in the Trump Era, in SEBD, 2020.
G. Rossetti, Berlingerio, M., and Giannotti, F., Scalable Link Prediction on Multidimensional Networks, in ICDM Workshops, Vancouver, 2011, pp. 979-986.
G. Rossetti, Exorcising the Demon: Angel, Efficient Node-Centric Community Discovery, in International Conference on Complex Networks and Their Applications, 2019.
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, 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., 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, 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, 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.
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.
A. Romei and Ruggieri, S., A multidisciplinary survey on discrimination analysis, The Knowledge Engineering Review, vol. 29, pp. 582–638, 2014.
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.
S. Rinzivillo and Turini, F., Classification in Geographical Information Systems, in PKDD, 2004, pp. 374-385.
S. Rinzivillo, Turini, F., Bogorny, V., Körner, C., Kuijpers, B., and May, M., Knowledge Discovery from Geographical Data, in Mobility, Data Mining and Privacy, 2008, pp. 243-265.
S. Rinzivillo and Turini, F., Knowledge discovery from spatial transactions, Journal of Intelligent Information Systems, vol. 28, pp. 1-22, 2007.
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 and Turini, F., Extracting spatial association rules from spatial transactions, in ACM GIS, 2005, pp. 79-86.
S. Rinzivillo and Ruggieri, S., Who/Where Are My New Customers?, in ISMIS Industrial Session, 2011, pp. 307-317.
S. Rinzivillo, Mainardi, S., Pezzoni, F., Coscia, M., Giannotti, F., and Pedreschi, D., Discovering the Geographical Borders of Human Mobility, KI - Künstliche Intelligenz, 2012.
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, 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.

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