Federico D'Antoni

According to our database, Federico D'Antoni authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FedROS-RandNN: A lightweight online Federated Learning framework for glycemic forecasting using Randomized Neural Networks.

Alberto Maria Di Giacinto, Lorenzo Petrosino, Federico D'Antoni, Alessandro Marchetti, Luca Vollero, Leandro Pecchia, Mario Merone

Biomed. Signal Process. Control., 2026

Artificial intelligence based intervertebral discs grading: From unsupervised detection to explainable Pfirrmann classification.

Paolo Giaccone, Federico D'Antoni, Luca Bacco, Fabrizio Russo, Giuseppe Francesco Papalia, Gianluca Vadalà, Rocco Papalia, Leandro Pecchia, Vincenzo Denaro, Mario Merone

Biomed. Signal Process. Control., 2026

2025

A zero-knowledge proof federated learning on DLT for healthcare data.

Lorenzo Petrosino, Luigi Masi, Federico D'Antoni, Mario Merone, Luca Vollero

J. Parallel Distributed Comput., 2025

Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management.

Alessandro Marchetti, Daniele Sasso, Federico D'Antoni, Francesco Morandin, Maurizio Parton, Margherita A. G. Matarrese, Mario Merone

Comput. Biol. Medicine, 2025

Artificial Intelligence for Non-Invasive Glucose Monitoring: ECG-Based Glycaemia Estimation in Type 1 Diabetes.

Claudia Ferraro, Federico D'Antoni, Lorenzo Petrosino, Filippo Crispino, Mario Merone, Leandro Pecchia

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2025

2024

Combining Fiber Bragg Grating and Artificial Intelligence Technologies for Supporting Epidural Procedures.

Martina Pulcinelli, Federico D'Antoni, Daniela Lo Presti, Emiliano Schena, Massimiliano Carassiti, Francesca De Tommasi, Mario Merone

IEEE Trans. Biomed. Eng., November, 2024

Sleeping Posture Classification Through a Multi-Sensing Smart Mattress Based On Fiber Bragg Grating Sensors: A Feasibility Study.

Federico D'Antoni, Francesca De Tommasi, Giampiero Bartolomei, Daniela Lo Presti, Luca Vollero, Sergio Silvestri, Emiliano Schena, Mario Merone, Carlo Massaroni

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 and IoT, 2024

2023

A New Glycemic closed-loop control based on Dyna-Q for Type-1-Diabetes.

Silvia Del Giorno, Federico D'Antoni, Vincenzo Piemonte, Mario Merone

Biomed. Signal Process. Control., March, 2023

Layered Meta-Learning Algorithm for Predicting Adverse Events in Type 1 Diabetes.

Federico D'Antoni, Lorenzo Petrosino, Alessandro Marchetti, Luca Bacco, Silvia Pieralice, Luca Vollero, Paolo Pozzilli, Vincenzo Piemonte, Mario Merone

IEEE Access, 2023

Identification of the Optimal Meal Detection Strategy for Adults, Adolescents, and Children with Type 1 Diabetes: an in Silico Validation.

Federico D'Antoni, Martina Bertazzoni, Luca Vollero, Mario Merone

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2020

Auto-Regressive Time Delayed jump neural network for blood glucose levels forecasting.

Federico D'Antoni, Mario Merone, Vincenzo Piemonte, Giulio Iannello, Paolo Soda

Knowl. Based Syst., 2020

2019

Tackling imbalance radiomics in acoustic neuroma.

Natascha Claudia D'Amico, Mario Merone, Rosa Sicilia, Ermanno Cordelli, Federico D'Antoni, Isa Bossi Zanetti, Giovanni Valbusa, Enzo Grossi, Giancarlo Beltramo, Deborah Fazzini, Giuseppe Scotti, Giulio Iannello, Paolo Soda

Int. J. Data Min. Bioinform., 2019

Early Experience in Forecasting Blood Glucose Levels Using a Delayed and Auto-Regressive Jump Neural Network.

Federico D'Antoni, Mario Merone, Vincenzo Piemonte, Paolo Pozzilli, Giulio Iannello, Paolo Soda

Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

2018

Cross-topic Rumour Detection in the Health Domain.

Rosa Sicilia, Mario Merone, Roberto Valenti, Ermanno Cordelli, Federico D'Antoni, Vincenzo De Ruvo, Patrizia Benedetta Dragone, Sara Esposito, Paolo Soda

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018