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Journal Article
B. Guidi, Michienzi, A., and Rossetti, G., “Towards the dynamic community discovery in decentralized online social networks”, Journal of Grid Computing, vol. 17, pp. 23–44, 2019.
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. Rauber, Trasarti, R., and Giannotti, F., “Transparency in Algorithmic Decision Making”, ERCIM News, 2019.
M. Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., “Uncovering Hierarchical and Overlapping Communities with a Local-First Approach”, {TKDD}, vol. 9, p. 6, 2014.
V. Lorenzoni, Triulzi, I., Martinucci, I., Toncelli, L., Natilli, M., Barale, R., and Turchetti, G., “Understanding eating choices among university students: A study using data from cafeteria cashiers’ transactions”, Health Policy, vol. 125, pp. 665–673, 2021.
L. Pappalardo, Rinzivillo, S., Qu, Z., Pedreschi, D., and Giannotti, F., “{Understanding the patterns of car travel}”, The European Physical Journal Special Topics, vol. 215, pp. 61–73, 2013.
R. Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Unveiling mobility complexity through complex network analysis”, Social Network Analysis and Mining, vol. 6, p. 59, 2016.
F. Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., “Unveiling the complexity of human mobility by querying and mining massive trajectory data”, VLDB J., vol. 20, pp. 695-719, 2011.
D. Aquilino, Asirelli, P., Formuso, A., Renso, C., and Turini, F., “Using Medlan to Integrate Geographical Data”, Journal of Logic Programming, pp. 3–14, 2000.
D. Aquilino, Asirelli, P., Formuso, A., Renso, C., and Turini, F., “Using MedLan to Integrate Geographical Data”, J. Log. Program., vol. 43, pp. 3-14, 2000.
S. Ruggieri, “Using t-closeness anonymity to control for non-discrimination.”, Trans. Data Privacy, vol. 7, pp. 99–129, 2014.
G. Rossetti, Milli, L., Citraro, S., and Morini, V., “UTLDR: an agent-based framework for modeling infectious diseases and public interventions”, arXiv preprint arXiv:2011.05606, 2020.
D. Pedreschi and Ruggieri, S., “Verification of Logic Programs”, J. Log. Program., vol. 39, pp. 125-176, 1999.
D. Pedreschi and Ruggieri, S., “Verification of Meta-Interpreters”, J. Log. Comput., vol. 7, pp. 267-303, 1997.
D. Boncoraglio, Deri, F., Distefano, F., Fadda, D., Filippi, G., Forte, G., Licari, F., Natilli, M., Pedreschi, D., and Rinzivillo, S., “A Visual Analytics Platform to Measure Performance on University Entrance Tests (Discussion Paper)”, 2019.
S. Rinzivillo, Pedreschi, D., Nanni, M., Giannotti, F., Andrienko, N., and Andrienko, G., “Visually driven analysis of movement data by progressive clustering”, Information Visualization, vol. 7, pp. 225-239, 2008.
D. Pedreschi and Ruggieri, S., “Weakest Preconditions for Pure Prolog Programs”, Inf. Process. Lett., vol. 67, pp. 145-150, 1998.
F. Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., “Web Log Data Warehousing and Mining for Intelligent Web Caching”, Data and Knowledge Engineering, 2001.
F. Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., “Web log data warehousing and mining for intelligent web caching”, Data Knowl. Eng., vol. 39, pp. 165-189, 2001.
F. Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., “Web log data warehousing and mining for intelligent web caching”, Data Knowl. Eng., vol. 39, pp. 165-189, 2001.
M. Francesca Romano and Natilli, M., “Wine and Food Tourism First European Conference”, Edizioni ETS Pisa, 2012.
M. Francesca Romano and Natilli, M., “Wine tourism in Italy: New profiles, styles of consumption, ways of touring”, Turizam: međunarodni znanstveno-stručni časopis, vol. 57, pp. 463–475, 2009.
D. Marbach, Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Kellis, M., Collins, J. J., Aderhold, A., Stolovitzky, G., Bonneau, R., Chen, Y., Cordero, F., Crane, M., Dondelinger, F., Drton, M., Esposito, R., Foygel, R., De La Fuente, A., Gertheiss, J., Geurts, P., Greenfield, A., Grzegorczyk, M., Haury, A. - C., Holmes, B., Hothorn, T., Husmeier, D., Huynh-Thu, V. A., Irrthum, A., Karlebach, G., Lebre, S., De Leo, V., Madar, A., Mani, S., Mordelet, F., Ostrer, H., Ouyang, Z., Pandya, R., Petri, T., Pinna, A., Poultney, C. S., Rezny, S., Ruskin, H. J., Saeys, Y., Shamir, R., Sirbu, A., Song, M., Soranzo, N., Statnikov, A., Vega, N. M., Vera-Licona, P., Vert, J. - P., Visconti, A., Wang, H., Wehenkel, L., Windhager, L., Zhang, Y., and Zimmer, R., “Wisdom of crowds for robust gene network inference”, Nature Methods, vol. 9, pp. 796-804, 2012.
D. Marbach, Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Kellis, M., Collins, J. J., and Stolovitzky, G., “Wisdom of crowds for robust gene network inference.”, Nat Methods, vol. 9, pp. 796-804, 2012.
Miscellaneous
A. Wierzbicki, Brandes, U., Schweitzer, F., and Pedreschi, D., “Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings”. 2016.

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