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E
F. Lillo and Ruggieri, S., “Estimating the Total Volume of Queries to a Search Engine”, IEEE Transactions on Knowledge and Data Engineering, pp. 1-1, 2021.
V. Voukelatou, Pappalardo, L., Gabrielli, L., and Giannotti, F., “Estimating countries’ peace index through the lens of the world news as monitored by GDELT”, in 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), 2020.
A. Rossi, Pedreschi, D., Clifton, D. A., and Morelli, D., “Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts”, Sensors, vol. 20, p. 7122, 2020.
R. Guidotti and Coscia, M., “On the Equivalence Between Community Discovery and Clustering”, in International Conference on Smart Objects and Technologies for Social Good, 2017.
S. Ruggieri, “Enumerating Distinct Decision Trees”, in International Conference on Machine Learning, 2017.
L. Corbucci, Monreale, A., and Pellungrini, R., “Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection”, in Proceedings of the 21st International Conference on Security and Cryptography - SECRYPT, 2024.
A. Raffaetà, Turini, F., and Renso, C., “Enhancing GISs for spatio-temporal reasoning”, in ACM-GIS, 2002, pp. 42-48.
P. Cintia, Pappalardo, L., and Pedreschi, D., “"Engine Matters": {A} First Large Scale Data Driven Study on Cyclists' Performance”, in 13th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, TX, USA, December 7-10, 2013, 2013.
P. Mukala, Cerone, A., and Turini, F., “An empirical verification of a-priori learning models on mailing archives in the context of online learning activities of participants in free\libre open source software (FLOSS) communities”, Education and Information Technologies, vol. 22, pp. 3207–3229, 2017.
A. Sirbu, Crane, M., and Ruskin, H. J., “EGIA–Evolutionary Optimisation of Gene Regulatory Networks, an Integrative Approach”, in Complex Networks V, Springer International Publishing, 2014, pp. 217–229.
P. Contucci, Panizzi, E., Ricci-Tersenghi, F., and Sirbu, A., “Egalitarianism in the rank aggregation problem: a new dimension for democracy”, Quality & Quantity, pp. 1–16, 2015.
A. Baroni, Conte, A., Patrignani, M., and Ruggieri, S., “Efficiently Clustering Very Large Attributed Graphs”, arXiv preprint arXiv:1703.08590, 2017.
F. Giannotti, Nanni, M., and Pedreschi, D., “Efficient Mining of Temporally Annotated Sequences”, in SDM, 2006.
K. S. Boeg, Ira Assent,, and Magnani, M., “Efficient GPU-based skyline computation”, in DAMON@SIGMOD 2013, 2013.
F. Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., “Efficient breadth-first mining of frequent pattern with monotone constraints”, Knowl. Inf. Syst., vol. 8, pp. 131-153, 2005.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., “On the Effective Semantics of Nondeterministic, Nonmonotonic, Temporal Logic Databases”, in CSL, 1998, pp. 58-72.
A. Rossi, Pappalardo, L., Cintia, P., F Iaia, M., Fernàndez, J., and Medina, D., “Effective injury forecasting in soccer with GPS training data and machine learning”, PloS one, vol. 13, p. e0201264, 2018.
D
R. Portocarre Sarmento, Lemos, L., Cordeiro, M., Rossetti, G., and Cardoso, D., “DynComm R Package–Dynamic Community Detection for Evolving Networks”, arXiv preprint arXiv:1905.01498, 2019.
A. Brogi, Renso, C., and Turini, F., “Dynamic Composition of Parameterised Logic Modules”, Computer Languages, pp. 211–242, 1999.
A. Brogi, Renso, C., and Turini, F., “Dynamic composition of parameterised logic modules”, Comput. Lang., vol. 25, pp. 211-242, 1999.
B. Guidi, Michienzi, A., and Rossetti, G., “Dynamic community analysis in decentralized online social networks”, in European Conference on Parallel Processing, 2017.
M. Nanni, Trasarti, R., Monreale, A., Grossi, V., and Pedreschi, D., “Driving Profiles Computation and Monitoring for Car Insurance CRM”, Journal ACM Transactions on Intelligent Systems and Technology (TIST), vol. 8, pp. 14:1–14:26, 2016.
M. Baglioni, Furletti, B., and Turini, F., “DrC4.5: Improving C4.5 by means of Prior Knowledge”, in ACM Symposium on Applied Computing, Santa Fe, New Mexico, USA, 2005.
C. Panigutti, Perotti, A., and Pedreschi, D., “Doctor XAI: an ontology-based approach to black-box sequential data classification explanations”, in Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020.
G. Calogiuri, Johansen, P. Foss, Rossi, A., and Thurston, M., “Do “girls just wanna have fun”? Participation trends and motivational profiles of women in Norway’s ultimate mass participation ski event”, Frontiers in Psychology, vol. 10, p. 2548, 2019.

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