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R.Liu, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems., in Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2012 , 2012.
A. Raffaetà and Renso, C., Temporal Reasoning in Geographical Information Systems, in DEXA Workshop, 2000, pp. 899-905.
A. Raffaetà, Renso, C., and Turini, F., Qualitative Reasoning in a Spatio-Temporal Language, in SEBD, 2002, pp. 105-118.
A. Raffaetà, Turini, F., and Renso, C., Enhancing GISs for spatio-temporal reasoning, in ACM-GIS, 2002, pp. 42-48.
A. Raffaetà, Renso, C., and Turini, F., Qualitative Spatial Reasoning in a Logical Framework, in AI*IA, 2003, pp. 78-90.
A. Raffaetà, Ceccarelli, T., Centeno, D., Giannotti, F., Massolo, A., Parent, C., Renso, C., Spaccapietra, S., and Turini, F., An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology, GeoInformatica, vol. 12, pp. 37-72, 2008.
C. Renso and Ruggieri, S., A Mediator Approach for Representing Knowledge, Intelligent Multimedia Presentation Systems. Human Computer Interaction Letters, 1 (1): 32-38, April 1998., 1998.
C. Renso, Puntoni, S., Frentzos, E., Mazzoni, A., Moelans, B., Pelekis, N., and Pini, F., Wireless Network Data Sources: Tracking and Synthesizing Trajectories, in Mobility, Data Mining and Privacy, 2008, pp. 73-100.
C. Renso, Baglioni, M., de Macêdo, J. Antônio F., Trasarti, R., and Wachowicz, M., How you move reveals who you are: understanding human behavior by analyzing trajectory data, Knowl. Inf. Syst., vol. 37, pp. 331–362, 2013.
C. Renso, Mechanisms for Semantic Integration of Deductive Databases. 1998.
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 Turini, F., Classification in Geographical Information Systems, in PKDD, 2004, pp. 374-385.
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.
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.
G. Rossetti and Cazabet, R., Community Discovery in Dynamic Networks: a Survey, Journal ACM Computing Surveys, vol. 51, 2018.
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, 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.