191 citations · 372 across the 19 of their papers we have counts for
9 papers · 1 filter
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.…
An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items
Luca Corbucci, Javier Alejandro Borges Legrottaglie, Francesco Spinnato +2
Accurately identifying items forgotten during a supermarket visit and providing clear, interpretable explanations for recommending them remains an underexplored problem within the…
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…
Improving Regulatory Oversight in Online Content Moderation
Benedetta Tessa, Denise Amram, Anna Monreale +1
The European Union introduced the Digital Services Act (DSA) to address the risks associated with digital platforms and promote a safer online environment. However, despite the pot…
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…
Workshop Scientific HPC in the pre-Exascale era (part of ITADATA 2024) Proceedings
Nicola Bena, Claudia Diamantini, Michela Natilli +10
The proceedings of Workshop Scientific HPC in the pre-Exascale era (SHPC), held in Pisa, Italy, September 18, 2024, are part of 3rd Italian Conference on Big Data and Data Science…
Talking Back -- human input and explanations to interactive AI systems
Alan Dix, Tommaso Turchi, Ben Wilson +2
While XAI focuses on providing AI explanations to humans, can the reverse - humans explaining their judgments to AI - foster richer, synergistic human-AI systems? This paper explor…
Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model
Fabio Michele Russo, Carlo Metta, Anna Monreale +2
As predictive machine learning models become increasingly adopted and advanced, their role has evolved from merely predicting outcomes to actively shaping them. This evolution has…
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…