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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., 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., 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.
P. Mancarella, Pedreschi, D., and Ruggieri, S., Negation as Failure through Abduction: Reasoning about Termination, in Computational Logic: Logic Programming and Beyond, 2002, pp. 240-272.
R. Guidotti, Nanni, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., Never drive alone: Boosting carpooling with network analysis, Information Systems, vol. 64, pp. 237–257, 2017.
M. Fontana, Naretto, F., and Monreale, A., A new approach for cross-silo federated learning and its privacy risks, in 2021 18th International Conference on Privacy, Security and Trust (PST), 2021.
M. Fontana, Naretto, F., and Monreale, A., A new approach for cross-silo federated learning and its privacy risks, in 18th International Conference on Privacy, Security and Trust, PST 2021, Auckland, New Zealand, December 13-15, 2021, 2021.
R. Trasarti, Bonchi, F., and Goethals, B., A new technique for sequential pattern mining under regular expressions, in SEBD, 2009, pp. 325-332.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., \newblock{A Declarative Framework for Reasoning on Spatio-temporal Data}, 2004.
R. Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., Next Basket Prediction using Recurring Sequential Patterns, arXiv preprint arXiv:1702.07158, 2017.
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.
F. Giannotti, Pedreschi, D., Saccà, D., and Zaniolo, C., Non-Determinism in Deductive Databases, in DOOD, 1991, pp. 129-146.
D. Pedreschi and Subrahmanian, V. S., Non-determinism in Deductive Databases - Preface, Ann. Math. Artif. Intell., vol. 19, pp. 1-2, 1997.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., Nondeterministic, Nonmonotonic Logic Databases, IEEE Trans. Knowl. Data Eng., vol. 13, pp. 813-823, 2001.
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.
O
P. Mukala, Cerone, A., and Turini, F., Ontolifloss: Ontology for learning processes in FLOSS communities, in International Conference on Software Engineering and Formal Methods, 2014.
B. Furletti, Bellandi, A., Grossi, V., and Romei, A., Ontological Support for Association Rule Mining, in IASTED International Conference on Artificial Intelligence and Applications (AIA), Innsbruck, Austria , 2008.
B. Furletti, Ontology Driven Knowledge Discovery, IMT - Lucca, Lucca - Italy, 2009.
M. Baglioni, de Macêdo, J. A. F., Renso, C., and Wachowicz, M., An Ontology-Based Approach for the Semantic Modelling and Reasoning on Trajectories, in ER Workshops, 2008, pp. 344-353.
F. Turini, Furletti, B., Baglioni, M., Spinsanti, L., and Bellandi, A., Ontology-Based Business Plan Classification, in Enterprise Distributed Object Computing Conference (EDOC), 2008.
M. Baglioni, Bellandi, A., Furletti, B., Spinsanti, L., and Turini, F., Ontology-Based Business Plan Classification, in EDOC, 2008, pp. 365-371.
B. Furletti, Bellandi, A., Grossi, V., and Romei, A., Ontology-Driven Association Rule Extraction: A Case Study, in International Workshop on Contexts and Ontologies: Representation and Reasoning, Roskilde, Denmark, 2007.

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