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M. Baglioni, de Macêdo, J. A. F., Renso, C., Trasarti, R., and Wachowicz, M., “Towards Semantic Interpretation of Movement Behavior”, in AGILE Conf., 2009, pp. 271-288.
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.
M. Baglioni, Giovannetti, E., Masserotti, M. V., Renso, C., and Spinsanti, L., “Ontology-driven Querying of Geographical Databases”, pp. 31–44, 2008.
M. Baglioni, de Macêdo, J. A. F., Renso, C., Trasarti, R., and Wachowicz, M., “Towards Semantic Interpretation of Movement Behavior”, in AGILE Conf., 2009, pp. 271-288.
A. Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., “BiDAl: Big Data Analyzer for Cluster Traces”, in Informatika (BigSys workshop), 2014.
A. Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., “A Big Data Analyzer for Large Trace Logs”, Computing, 2015.
I. Barbosa, Casanova, M. A., Renso, C., and de Macêdo, J. A. F., “Average Speed Estimation For Road Networks Based On GPS Raw Trajectories”, in ICEIS Conference, 2013.
R. Barbuti, Mancarella, P., Pedreschi, D., and Turini, F., “Intensional Negation of Logic Programs: Examples and Implementation Techniques”, in TAPSOFT, Vol.2, 1987, pp. 96-110.
R. Barbuti, Mancarella, P., Pedreschi, D., and Turini, F., “A Transformational Approach to Negation in Logic Programming”, J. Log. Program., vol. 8, pp. 201-228, 1990.
A. Baroni and Ruggieri, S., “Segregation Discovery in a Social Network of Companies”, in International Symposium on Intelligent Data Analysis, 2015.
A. Baroni and Ruggieri, S., “Segregation discovery in a social network of companies”, Journal of Intelligent Information Systems, 2017.
A. Baroni, Conte, A., Patrignani, M., and Ruggieri, S., “Efficiently Clustering Very Large Attributed Graphs”, arXiv preprint arXiv:1703.08590, 2017.
A. Basu, Monreale, A., Trasarti, R., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., and Yanagihara, T., “A risk model for privacy in trajectory data”, Journal of Trust Management, vol. 2, p. 9, 2015.
A. Basu, Corena, J. C., Monreale, A., Pedreschi, D., Giannotti, F., Kiyomoto, S., Vaidya, J., and Miyake, Y., “CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud”, in Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on, 2014.
A. Basu, Monreale, A., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., Yanagihara, T., and Trasarti, R., “A Privacy Risk Model for Trajectory Data”, in Trust Management {VIII} - 8th {IFIP} {WG} 11.11 International Conference, {IFIPTM} 2014, Singapore, July 7-10, 2014. Proceedings, 2014, pp. 125–140.
M. Batty, Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., and Portugali, Y., “Smart cities of the future”, European Physical Journal-Special Topics, vol. 214, p. 481, 2012.
M. Becker, Caminiti, S., Fiorella, D., Francis, L., Gravino, P., Haklay, M. Muki, Hotho, A., Loreto, V., Mueller, J., Ricchiuti, F., Servedio, V. D. P., Sirbu, A., and Tria, F., “Awareness and learning in participatory noise sensing.”, PLoS One, vol. 8, p. e81638, 2013.
T. Bellemans, Bothe, S., Cho, S., Giannotti, F., Janssens, D., Knapen, L., Körner, C., May, M., Nanni, M., Pedreschi, D., Stange, H., Trasarti, R., Yasar, A. - U. - H., and Wets, G., “An Agent-Based Model to Evaluate Carpooling at Large Manufacturing Plants”, in Proceedings of the 3rd International Conference on Ambient Systems, Networks and Technologies {(ANT} 2012), the 9th International Conference on Mobile Web Information Systems (MobiWIS-2012), Niagara Falls, Ontario, Canada, August 27-29, 2012, 2012.
F. Beltram, Giannotti, F., and Pedreschi, D., “Data Science a Game-changer for Science and Innovation”. G7 Academy, 2017.
S. Bergamaschi, Carlini, E., Ceci, M., Furletti, B., Giannotti, F., Malerba, D., Mezzanzanica, M., Monreale, A., Pasi, G., Pedreschi, D., Perego, R., and Ruggieri, S., “Big Data Research in Italy: A Perspective”, Engineering, vol. 2, p. 163, 2016.
M. Berlingerio, Bonchi, F., Curcio, M., Giannotti, F., and Turini, F., “Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation”, in Biomedical Data and Applications, 2009, pp. 211-236.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Evolving networks: Eras and turning points”, Intell. Data Anal., vol. 17, pp. 27–48, 2013.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., “Time-Annotated Sequences for Medical Data Mining”, in ICDM Workshops, 2007, pp. 133-138.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Towards Discovery of Eras in Social Networks”, in M3SN 2010 Workshop, in conjunction with ICDE2010, 2010.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., “Mining Clinical Data with a Temporal Dimension: A Case Study”, in BIBM, 2007, pp. 429-436.

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