Publications
] , “Exploiting Vehicular Data for Exposure-Aware Pedestrian Routing”, in 2025 26th IEEE International Conference on Mobile Data Management (MDM), 2025.
, “From GPS Traces to Individual Emission Exposure: A Data-Driven Four-Step Process”, in Intelligent Transport Systems, Cham, 2025.
, “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.
, “Vehicle-Pedestrian Optimization Framework for Exposure-Aware Routing”, Mobile Networks and Applications, 2025.
, “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.
, “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.
, “Agnostic Label-Only Membership Inference Attack”, in 17th International Conference on Network and System Security, 2023.
, “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.
, “Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions”, Applied Network Science, vol. 8, pp. 1–19, 2023.
, “AUC-based Selective Classification”, in International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023.
, “Evaluating the Privacy Exposure of Interpretable Global and Local Explainers”, in Submitted at Journal of Artificial Intelligence and Law, 2023.
, “EXPHLOT: EXplainable Privacy assessment for Human LOcation Trajectories”, in Discovery Science , 2023.
, “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.
, “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.
, “Generative AI models should include detection mechanisms as a condition for public releaseAbstract”, Ethics and Information Technology, vol. 25, 2023.
, “Mobility Constraints in Segregation Models”, Scientific Reports, vol. 13, p. 12087, 2023.
, “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.
, “Topics in Selective Classification”, in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023.
, “Attribute-aware Community Events in Feature-rich Dynamic Networks”, in Complex Networks and Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022—Book of Abstracts, 2022.
, “Attributed stream-hypernetwork analysis: homophilic behaviors in pairwise and group political discussions on reddit”, in International Conference on Complex Networks and Their Applications, 2022.
, “Connected Vehicle Simulation Framework for Parking Occupancy Prediction (Demo Paper)”, in Proceedings of the 30th International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2022.
, “Explaining Black Box with visual exploration of Latent Space”, EuroVis–Short Papers, 2022.
, “Explaining Siamese Networks in Few-Shot Learning for Audio Data”, in Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings, 2022.