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, “Fair Federated Learning methodology based on Multi-Objective Optimization”, Submitted at JAIR, 2023.
A
O. Abul, Atzori, M., Bonchi, F., and Giannotti, F., “Hiding Sequences”, in SEBD, 2007, pp. 233-241.
O. Abul, Atzori, M., Bonchi, F., and Giannotti, F., “Hiding Sensitive Trajectory Patterns”, in ICDM Workshops, 2007, pp. 693-698.
O. Abul, Atzori, M., Bonchi, F., and Giannotti, F., “Hiding Sequences”, in ICDE Workshops, 2007, pp. 147-156.
A. Albano, Giannotti, F., Orsini, R., and Pedreschi, D., “The Type System of Galileo”, in Data Types and Persistence (Appin), 1985, pp. 101-119.
A. Albano, Giannotti, F., Orsini, R., and Pedreschi, D., “The Type System of Galileo”, in Data Types and Persistence (Appin), Informal Proceedings, 1985, pp. 175-195.
F. D. C. Albuquerque, Casanova, M. A., de Carvalho, M. T. M., de Macêdo, J. A. F., and Renso, C., “A Proactive Ap- plication to Monitor Truck Fleets”, in Mobile Data Management Conference, 2013, 2013.
M. Aldinucci, Ruggieri, S., and Torquati, M., “Decision tree building on multi-core using FastFlow”, Concurrency and Computation: Practice and Experience, vol. 26, pp. 800–820, 2014.
C. Alfonsi, Scarabottolo, N., Pedreschi, D., and Simi, M., “IT4PS: information technology for problem solving”, in ITiCSE, 2004, p. 241.
G. Aliyev and Nanni, M., “Exploiting Vehicular Data for Exposure-Aware Pedestrian Routing”, in 2025 26th IEEE International Conference on Mobile Data Management (MDM), 2025.
G. Aliyev, “Optimization of Exposure-Aware Routing for Vehicles and Pedestrians”, in Proceedings of the 19th International Symposium on Spatial and Temporal Data (SSTD '25), Osaka, Japan, 2025.
G. Aliyev and Nanni, M., “Vehicle-Pedestrian Optimization Framework for Exposure-Aware Routing”, Mobile Networks and Applications, 2025.
G. Aliyev and Nanni, M., “From GPS Traces to Individual Emission Exposure: A Data-Driven Four-Step Process”, in Intelligent Transport Systems, Cham, 2025.
G. Aliyev, “Analysis, Prediction and Mitigation of Exposure to Vehicular Air Pollution Based on Multi-Source Urban Data.”, in SEBD 2023: 31st Symposium on Advanced Database Systems, Galzignano Terme (PD), Italy, July 2–5, 2023, 2023.
G. Amato, Giannotti, F., and Mainetto, G., “Conservative Multigranularity Locking for an Obiect-Oriented Persistent Language via Abstract Interpretation”, in SEBD, 1994, pp. 329-349.
G. Amato, Giannotti, F., and Mainetto, G., “Analysis of Concurrent Transactions in a Functional Database Programming Language”, in WSA, 1992, pp. 174-184.
G. Amato, Giannotti, F., and Mainetto, G., “Static Analysis of Transactions for Conservative Multigranularity Locking”, in DBPL, 1997, pp. 413-430.
G. Amato, Giannotti, F., and Mainetto, G., “Static Analysis of Transactions: an Experiment of Abstract Interpretation Usage”, in FMLDO, 1993, pp. 19-29.
G. Amato, Giannotti, F., and Mainetto, G., “Data Sharing Analysis for a Database Programming Lanaguage via Abstract Interpretation”, in VLDB, 1993, pp. 405-415.
G. Amato, Candela, L., Castelli, D., Esuli, A., Falchi, F., Gennaro, C., Giannotti, F., Monreale, A., Nanni, M., Pagano, P., Pappalardo, L., Pedreschi, D., Pratesi, F., Rabitti, F., Rinzivillo, S., Rossetti, G., Ruggieri, S., Sebastiani, F., and Tesconi, M., “How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science”, in A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, S. Flesca, Greco, S., Masciari, E., and Saccà, D., Eds. Cham: Springer International Publishing, 2018, pp. 287 - 306.
V. Ambriola, Giannotti, F., Pedreschi, D., and Turini, F., “Symbolic Semantics and Program Reduction”, IEEE Trans. Software Eng., vol. 11, pp. 784-794, 1985.
G. Andrienko, Andrienko, N., Rinzivillo, S., Nanni, M., Pedreschi, D., and Giannotti, F., “Visual Cluster Analysis of Large Collections of Trajectories”, in IEEE Visual Analytics Science and Tecnology (VAST 2009), 2009.
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., Pedreschi, D., and Rinzivillo, S., “A Generalisation-based Approach to Anonymising Movement Data”, 13th AGILE conference on Geographic Information Science. 2010.
G. Andrienko, Andrienko, N., Boldrini, C., Caldarelli, G., Cintia, P., Cresci, S., Facchini, A., Giannotti, F., Gionis, A., Guidotti, R., and others, “(So) Big Data and the transformation of the city”, International Journal of Data Science and Analytics, 2020.
G. Andrienko, Andrienko, N., Hurter, C., Rinzivillo, S., and Wrobel, S., “From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data”, IEEE Conference on Visual Analytics Science and Technology. 2011.

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