Knowledge Artifacts to Support Dietary: The Diet Module of the PERCIVAL Project. - Fabio Sartori; Klaus Shala; Andrea Moglia; Jacopo Talpini; Marco Savi (MTSR, 2022)

A Clustering Strategy for Enhanced FL-Based Intrusion Detection in IoT Networks. - Jacopo Talpini; Fabio Sartori; Marco Savi (ICAART (3), 2023)

Uncertainty-Aware QoT Forecasting in Optical Networks with Bayesian Recurrent Neural Networks. - Nicola Di Cicco; Jacopo Talpini; Memedhe Ibrahimi; Marco Savi; Massimo Tornatore (ICC, 2023)

Hierarchical Multiclass Continual Learning for Network Intrusion Detection. - Jacopo Talpini; Fabio Sartori; Marco Savi (NetSoft, 2024)

Towards a Knowledge Diversity Notion to Identify Intrusions in Industrial Contexts. - Fabio Sartori; Marco Savi; Gaia Tarrini; Jacopo Talpini (WETICE, 2024)

Enhancing trustworthiness in ML-based network intrusion detection with uncertainty quantification. - Jacopo Talpini; Fabio Sartori; Marco Savi (J. Reliab. Intell. Environ., 2024)

A Federated Approach to Enhance Calibration of Distributed ML-Based Intrusion Detection Systems. - Jacopo Talpini; Nicoló Civiero; Fabio Sartori; Marco Savi (ICAART (2), 2025)

FedBEns: One-Shot Federated Learning based on Bayesian Ensemble. - Jacopo Talpini; Marco Savi; Giovanni Neglia (CoRR, 2025)