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D’ANTONI, FEDERICO

D’ANTONI, FEDERICO  

Facoltà Dipartimentale di Ingegneria  

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Risultati 1 - 16 di 16 (tempo di esecuzione: 0.017 secondi).
Titolo Data di pubblicazione Autore(i) File
A New Glycemic closed-loop control based on Dyna-Q for Type-1-Diabetes 1-gen-2023 Del Giorno, Silvia; D’Antoni, Federico; Piemonte, Vincenzo; Merone, Mario
A new hybrid AI optimal management method for renewable energy communities 1-gen-2022 Conte, F.; D'Antoni, F.; Natrella, G.; Merone, M.
Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review 1-gen-2022 D'Antoni, F.; Russo, F.; Ambrosio, L.; Bacco, L.; Vollero, L.; Vadala, G.; Merone, M.; Papalia, R.; Denaro, V.
Artificial intelligence and computer vision in low back pain: A systematic review 1-gen-2021 D'Antoni, F.; Russo, F.; Ambrosio, L.; Vollero, L.; Vadalà, G.; Merone, M.; Papalia, R.; Denaro, V.
Artificial Intelligence Models for the Management of Type 1 Diabetes 13-mar-2023 D’Antoni, Federico
Auto-Regressive Time Delayed jump neural network for blood glucose levels forecasting 1-gen-2020 D'Antoni, F; Merone, M; Piemonte, V; Iannello, G; Soda, P
Blood Glucose Level Forecasting on Type-1-Diabetes Subjects during Physical Activity: A Comparative Analysis of Different Learning Techniques 1-gen-2021 De Paoli, B; D’Antoni, F; Merone, M; Pieralice, S; Piemonte, V; Pozzilli, P
Cross-topic Rumour Detection in the Health Domain 1-gen-2019 Sicilia, R; Merone, M; Valenti, R; Cordelli, E; D'Antoni, F; De Ruvo, V; Dragone, Pb; Esposito, S; Soda, P
Early experience in forecasting blood glucose levels using a delayed and auto-regressive jump neural network 1-gen-2019 D'Antoni, F; Merone, M; Piemonte, V; Pozzilli, P; Iannello, G; Soda, P
Identification of Optimal Training for Prediction of Glucose Levels in Type-1-Diabetes Using Edge Computing 1-gen-2022 D'Antoni, Federico; Petrosino, Lorenzo; Velieri, Andrea; Sasso, Daniele; D'Angelis, Onorato; Boscarino, Tamara; Vollero, Luca; Merone, Mario; Piemonte, Vincenzo
Investigating Learning Methodologies on Edge Devices for Blood Glucose Level Forecasting in Type 1 Diabetes Patients Using CGM Sensor Data 1-gen-2023 D’Antoni, Federico; Giaccone, Paolo; Petrosino, Lorenzo; Boscarino, Tamara; Sabatini, Anna; Vollero, Luca; Piemonte, Vincenzo; Merone, Mario
Layered meta-learning Algorithm for Predicting Adverse Events in Type 1 Diabetes 1-gen-2023 D'Antoni, Federico; Petrosino, Lorenzo; Marchetti, Alessandro; Bacco, Luca; Pieralice, Silvia; Vollero, Luca; Pozzilli, Paolo; Piemonte, Vincenzo; Merone, Mario
Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes 1-gen-2022 Biggio, Monica; Caligiore, Daniele; D'Antoni, Federico; Bove, Marco; Merone, Mario
Positive tissue transglutaminase antibodies with negative endomysial antibodies: Unresolved issues in diagnosing celiac disease 1-gen-2021 Infantino, M; Merone, M; Manfredi, M; Grossi, V; Landini, A; Alessio, Mg; Previtali, G; Trevisan, M.; Porcelli, B; Fabris, M; Macchia, D; Villalta, D; Cinquanta, L; D'Antoni, F; Iannello, G; Soda, P; Bizzaro, N
Prediction of Glucose Concentration in Children with Type 1 Diabetes Using Neural Networks: An Edge Computing Application 1-gen-2022 D'Antoni, Federico; Petrosino, Lorenzo; Sgarro, Fabiola; Pagano, Antonio; Vollero, Luca; Piemonte, Vincenzo; Merone, Mario
Tackling imbalance radiomics in acoustic neuroma 1-gen-2019 D'Amico, N; Merone, M; Sicilia, R; Cordelli, E; D'Antoni, F; Bossi Zanetti, I; Valbusa, G; Grossi, E; Beltramo, G; Fazzini, D; Scotti, G; Iannello, G; Soda, P