11 papers
FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation
Xenia Heilmann, Luca Corbucci, Mattia Cerrato +1
Federated Learning (FL) enables collaborative training while preserving privacy, yet it introduces a critical challenge: the "illusion of fairness''. A global model, usually evalua…
Detection and Characterization of Coordinated Online Behavior: A Survey
Lorenzo Mannocci, Michele Mazza, Anna Monreale +2
Coordination is a fundamental aspect of life. The advent of social media has made it integral also to online human interactions, such as those that characterize thriving online com…
Multimodal Coordinated Online Behavior: Trade-offs and Strategies
Lorenzo Mannocci, Stefano Cresci, Matteo Magnani +2
Coordinated online behavior, which spans from beneficial collective actions to harmful manipulation such as disinformation campaigns, has become a key focus in digital ecosystem an…
Bounded-Abstention Multi-horizon Time-series Forecasting
Luca Stradiotti, Laurens Devos, Anna Monreale +2
Multi-horizon time-series forecasting involves simultaneously making predictions for a consecutive sequence of subsequent time steps. This task arises in many application domains,…
Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024)
Nicola Bena, Claudia Diamantini, Michela Natilli +6
Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024), held in Pisa, Italy, September 17-19, 2024. The Italian Conference on Big Data and Data Scienc…
Causal Synthetic Data Generation in Recruitment
Andrea Iommi, Antonio Mastropietro, Riccardo Guidotti +2
The importance of Synthetic Data Generation (SDG) has increased significantly in domains where data quality is poor or access is limited due to privacy and regulatory constraints.…