Publications

You are here

Home » Research
Journal Article
F. Giannotti and Latella, D., “Gate Splitting in LOTOS Specifications Using Abstract Interpretation”, Sci. Comput. Program., vol. 23, pp. 127-149, 1994.
G. Mauro, Luca, M., Longa, A., Lepri, B., and Pappalardo, L., “Generating mobility networks with generative adversarial networks”, EPJ data science, vol. 11, p. 58, 2022.
A. Knott, Pedreschi, D., Chatila, R., Chakraborti, T., Leavy, S., Baeza-Yates, R., Eyers, D., Trotman, A., Teal, P. D., Biecek, P., Russell, S., and Bengio, Y., “Generative AI models should include detection mechanisms as a condition for public releaseAbstract”, Ethics and Information Technology, vol. 25, 2023.
M. Nanni, Andrienko, G., Barabasi, A. - L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J., and Vespignani, A., “Give more data, awareness and control to individual citizens, and they will help COVID-19 containment”, 2021.
M. Setzu, Guidotti, R., Monreale, A., Turini, F., Pedreschi, D., and Giannotti, F., “GLocalX - From Local to Global Explanations of Black Box AI Models”, vol. 294, p. 103457, 2021.
R. Prieto Curiel, Pappalardo, L., Gabrielli, L., and Bishop, S. Richard, “Gravity and scaling laws of city to city migration”, PLOS ONE, vol. 13, pp. 1-19, 2018.
G. Rossetti, Pappalardo, L., Kikas, R., Pedreschi, D., Giannotti, F., and Dumas, M., “Homophilic network decomposition: a community-centric analysis of online social services”, Social Network Analysis and Mining, vol. 6, p. 103, 2016.
C. Renso, Baglioni, M., de Macêdo, J. Antônio F., Trasarti, R., and Wachowicz, M., “How you move reveals who you are: understanding human behavior by analyzing trajectory data”, Knowl. Inf. Syst., vol. 37, pp. 331–362, 2013.
A. Sirbu, Andrienko, G., Andrienko, N., Boldrini, C., Conti, M., Giannotti, F., Guidotti, R., Bertoli, S., Kim, J., Muntean, C. Ioana, Pappalardo, L., Passarella, A., Pedreschi, D., Pollacci, L., Pratesi, F., and Sharma, R., “Human migration: the big data perspective”, International Journal of Data Science and Analytics, pp. 1–20, 2020.
L. Candela, Manghi, P., Giannotti, F., Grossi, V., and Trasarti, R., “HyWare: a HYbrid Workflow lAnguage for Research E-infrastructures”, D-Lib Magazine, vol. 23, 2017.
M. Nanni, Kotthoff, L., Guidotti, R., O'Sullivan, B., and Pedreschi, D., “ICON Loop Carpooling Show Case”, Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach, vol. 10101, p. 310, 2017.
S. Citraro and Rossetti, G., “Identifying and exploiting homogeneous communities in labeled networks”, Applied Network Science, vol. 5, pp. 1–20, 2020.
A. Brogi, Chiarelli, A., Mancarella, P., Mazzotta, V., Pedreschi, D., Renso, C., and Turini, F., “Implementations of Program Composition Operations”, pp. 292–307, 1994.
B. Furletti, Turini, F., Bellandi, A., Baglioni, M., and Pratesi, C., “Improving the Business Plan Evaluation Process: the Role of Intangibles”, Quality Technology & Quantitative Management, vol. 7, 2010.
C. Bessiere, De Raedt, L., Guns, T., Kotthoff, L., Nanni, M., Nijssen, S., O'Sullivan, B., Paparrizou, A., Pedreschi, D., and Simonis, H., “The Inductive Constraint Programming Loop”, IEEE Intelligent Systems, 2017.
M. Nanni, Nijssen, S., O'Sullivan, B., Paparrizou, A., Pedreschi, D., and Simonis, H., “The Inductive Constraint Programming Loop”, Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach, vol. 10101, p. 303, 2017.
A. Sirbu, Ruskin, H. J., and Crane, M., “Integrating heterogeneous gene expression data for gene regulatory network modelling.”, Theory Biosci, vol. 131, pp. 95-102, 2012.
P. Mancarella, Raffaetà, A., Renso, C., and Turini, F., “Integrating Knowledge Representation and Reasoning in Geographical”, 2004.
P. Mancarella, Raffaetà, A., Renso, C., and Turini, F., “Integrating knowledge representation and reasoning in Geographical Information Systems”, International Journal of Geographical Information Science, vol. 18, pp. 417-447, 2004.
S. Mascetti, Ricci, A., and Ruggieri, S., “Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society”, Artificial Intelligence and Law, vol. 22, pp. 109–111, 2014.
S. Ruggieri, “Introduction to the special issue on Artificial Intelligence for Society and Economy”, Intelligenza Artificiale, vol. 9, pp. 23–23, 2015.
L. Pappalardo, Grossi, V., and Pedreschi, D., “Introduction to the special issue on social mining and big data ecosystem for open, responsible data science”, 2021.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., “The italian music superdiversity”, Multimedia Tools and Applications, pp. 1–23, 2018.
S. Rinzivillo and Turini, F., “Knowledge discovery from spatial transactions”, Journal of Intelligent Information Systems, vol. 28, pp. 1-22, 2007.
B. Furletti and Turini, F., “Knowledge Discovery in Ontologies”, Intelligent Data Analysis, vol. 16, 2012.

Pages