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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 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.
O. Abul, Atzori, M., Bonchi, F., and Giannotti, F., “Hiding Sequences”, in SEBD, 2007, pp. 233-241.
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.
A. Albano, Giannotti, F., Orsini, R., and Pedreschi, D., “The Type System of Galileo”, in Data Types and Persistence (Appin), 1985, pp. 101-119.
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. Amato, Giannotti, F., and Mainetto, G., “Static Analysis of Transactions for Conservative Multigranularity Locking”, in DBPL, 1997, pp. 413-430.
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.
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., “Data Sharing Analysis for a Database Programming Lanaguage via Abstract Interpretation”, in VLDB, 1993, pp. 405-415.
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., “Conservative Multigranularity Locking for an Obiect-Oriented Persistent Language via Abstract Interpretation”, in SEBD, 1994, pp. 329-349.
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., 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., Rinzivillo, S., Nanni, M., and Pedreschi, D., “A Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data”, in SSTD, 2009, pp. 432-435.
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.
G. Andrienko, Andrienko, N., Hunter, C., Rinzivillo, S., and Wrobel, S., “Scalable Analysis of Movement Data for Extracting and Exploring Significant Places”, IEEE Transactions on Visualization and Computer Graphics, vol. 19, 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.
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.
K. R. Apt and Pedreschi, D., “Proving Termination of General Prolog Programs”, in TACS, 1991, pp. 265-289.
K. R. Apt and Pedreschi, D., “Reasoning about Termination of Pure Prolog Programs”, Inf. Comput., vol. 106, pp. 109-157, 1993.

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