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2026
Ö. Öztürk Hacar, Pappalardo, L., Gülgen, F., and Nanni, M., “From sensor counts to OD flows: The N-Step model for urban pedestrian mobility”, vol. 134, p. 104694, 2026.
2025
B. M., P., R., M., N., and L., P., “Explaining urban vehicle emissions in Rome”, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 15244, pp. 303-315. Pisa, Italy, 14–16/10/2024, 2025.
G. Aliyev and Nanni, M., “Exploiting Vehicular Data for Exposure-Aware Pedestrian Routing”, in 2025 26th IEEE International Conference on Mobile Data Management (MDM), 2025.
G. Aliyev and Nanni, M., “From GPS Traces to Individual Emission Exposure: A Data-Driven Four-Step Process”, in Intelligent Transport Systems, Cham, 2025.
L. A., L., C., M., M., B., V., F., S., M., N., G., M., and J., G., “Modeling Events and Interactions through Temporal Processes - A Survey”, NEUROCOMPUTING, vol. 653, 2025.
G. Aliyev, “Optimization of Exposure-Aware Routing for Vehicles and Pedestrians”, in Proceedings of the 19th International Symposium on Spatial and Temporal Data (SSTD '25), Osaka, Japan, 2025.
C. G. and M., N., “The path is the goal: a study on the nature and effects of shortest-path stability under perturbation of destination”, GEOINFORMATICA, vol. 29 , 2025.
N. M., N., P., P., T., K., Z., M., S., C., R., A., S., A., A., Y., T., L., D. M., D., Z., A., R., C., D., S., K. K. -, H., F., K., P., D., Z., L., C. Da Silva T., K., T., S., A. N., D., P., L., P., R., G., I., K., H., L., K., N., and N., A., “Preface to 7th International Workshop on Big Mobility Data Analytics (BMDA)”, CEUR-WP, 2025.
K. A., P., M., L., M. A., M., N., and L., P., “Preface to INTSYS 2024”, 8th International Conference on Intelligent Transport Systems, INTSYS 2024, held in Pisa, Italy, duirng December 5-6, 2024. . Springer, Pisa, Italy, 2025.
G. Aliyev and Nanni, M., “Vehicle-Pedestrian Optimization Framework for Exposure-Aware Routing”, Mobile Networks and Applications, 2025.
2024
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.
B. Muscato, Mala, C. Sree, Manerba, M. Marchiori, Gezici, G., and Giannotti, F., “An Overview of Recent Approaches to Enable Diversity in Large Language Models through Aligning with Human Perspectives”, in Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024, Torino, Italia, 2024.
L. Corbucci, Heikkila, M. A., Noguero, D. Solans, Monreale, A., and Kourtellis, N., “PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning”, 2024.
2023
A. Monreale, Naretto, F., and Rizzo, S., “Agnostic Label-Only Membership Inference Attack”, in 17th International Conference on Network and System Security, 2023.
G. Aliyev, “Analysis, Prediction and Mitigation of Exposure to Vehicular Air Pollution Based on Multi-Source Urban Data”, in SEBD 2023: 31st Symposium on Advanced Database Systems, Galzignano Terme (PD), Italy, July 2–5, 2023, 2023.
A. Failla, Citraro, S., and Rossetti, G., “Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions”, Applied Network Science, vol. 8, pp. 1–19, 2023.
A. Pugnana and Ruggieri, S., “AUC-based Selective Classification”, in International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023.
F. Naretto, Monreale, A., and Giannotti, F., “Evaluating the Privacy Exposure of Interpretable Global and Local Explainers”, in Submitted at Journal of Artificial Intelligence and Law, 2023.
F. Naretto, Pellungrini, R., Fadda, D., and Rinzivillo, S., “EXPHLOT: EXplainable Privacy assessment for Human LOcation Trajectories”, in Discovery Science , 2023.
A. Fedele, “Explain and Interpret Few-Shot Learning”, in Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lisbon, Portugal, July 26-28, 2023, 2023.
L. Corbucci, Guidotti, R., and Monreale, A., “Explaining Black-Boxes in Federated Learning”, in Explainable Artificial Intelligence, Cham, 2023.
, “Fair Federated Learning methodology based on Multi-Objective Optimization”, Submitted at JAIR, 2023.
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.
D. Gambetta, Mauro, G., and Pappalardo, L., “Mobility Constraints in Segregation Models”, Scientific Reports, vol. 13, p. 12087, 2023.
A. Pugnana and Ruggieri, S., “A Model-Agnostic Heuristics for Selective Classification”, in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023, Washington, DC, USA, February 7-14, 2023, 2023.

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