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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.
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.
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.
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.
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.
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.
F. Giannotti, Pedreschi, D., Saccà, D., and Zaniolo, C., “Non-Determinism in Deductive Databases”, in DOOD, 1991, pp. 129-146.
R. Trasarti, Bonchi, F., and Goethals, B., “A new technique for sequential pattern mining under regular expressions”, in SEBD, 2009, pp. 325-332.
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.
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.
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.
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.
M. Magnani, Monreale, A., Rossetti, G., and Giannotti, F., “On multidimensional network measures”, in SEDB 2013, 2013.
M. Nanni, Trasarti, R., Furletti, B., Gabrielli, L., Van Der Mede, P., De Bruijn, J., de Romph, E., and Bruil, G., “MP4-A Project: Mobility Planning For Africa”, in In D4D Challenge @ 3rd Conf. on the Analysis of Mobile Phone datasets (NetMob 2013), Cambridge, USA, 2013.
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., and Pedreschi, D., “Movement data anonymity through generalization”, in Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS, 2009.
M. Nanni, Trasarti, R., and Giannotti, F., “Movement Behaviour Recognition for Water Activities”, in Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, {PAP} 2017, Held in Conjunction with {ECML} {PKDD} 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers, 2017.
M. Fontana, Naretto, F., Monreale, A., and Giannotti, F., “Monitoring Fairness in HOLDA”, in HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, Amsterdam, The Netherlands, 13-17 June 2022, 2022.
A. Pugnana and Ruggieri, S., “A Model-Agnostic Heuristics for Selective Classification”, in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023, Washington, DC, USA, February 7-14, 2023, 2023.
R. Wagner, de Macêdo, J. A. F., Raffaetà, A., Renso, C., Roncato, A., and Trasarti, R., “Mob-Warehouse: A semantic approach for mobility analysis with a Trajectory Data Ware- house”, in SecoGIS 2013 - International Workshop on Semantic Aspects of GIS, Joint to ER conference 2013, Hong Kong, 2013.
M. Berlingerio, Bicer, V., Botea, A., Braghin, S., Lopes, N., Guidotti, R., and Pratesi, F., “Mobility Mining for Journey Planning in Rome”, in Machine Learning and Knowledge Discovery in Databases, 2015.
F. Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., “Mobility data mining: discovering movement patterns from trajectory data”, in Computational Transportation Science, 2010, pp. 7-10.
F. Giannotti, Pedreschi, D., and Turini, F., “Mobility, Data Mining and Privacy the Experience of the GeoPKDD Project”, in PinKDD, 2008, pp. 25-32.
M. Berlingerio, Coscia, M., and Giannotti, F., “Mining the Temporal Dimension of the Information Propagation”, in IDA, 2009, pp. 237-248.
M. Berlingerio, Coscia, M., and Giannotti, F., “Mining the Temporal Dimension of the Information Propagation”, in IDA, 2009, pp. 237-248.

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