| Data-driven anomaly recognition for unsupervised model-free fault detection in artificial pancreas L Meneghetti, M Terzi, S Del Favero, GA Susto, C Cobelli IEEE Transactions on Control Systems Technology 28 (1), 33-47, 2018 | 48 | 2018 |
| Detection of insulin pump malfunctioning to improve safety in artificial pancreas using unsupervised algorithms L Meneghetti, GA Susto, S Del Favero Journal of diabetes science and technology 13 (6), 1065-1076, 2019 | 15 | 2019 |
| Model-based detection and classification of insulin pump faults and missed meal announcements in artificial pancreas systems for type 1 diabetes therapy L Meneghetti, A Facchinetti, S Del Favero IEEE Transactions on Biomedical Engineering 68 (1), 170-180, 2020 | 13 | 2020 |
| A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes. G Cappon, L Meneghetti, F Prendin, J Pavan, G Sparacino, S Del Favero, ... KDH@ ECAI, 75-79, 2020 | 6 | 2020 |
| Fault detection in artificial pancreas: A model-free approach L Meneghetti, M Terzi, GA Susto, S Del Favero, C Cobelli 2018 IEEE Conference on Decision and Control (CDC), 303-308, 2018 | 5 | 2018 |
| Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction. J Pavan, F Prendin, L Meneghetti, G Cappon, G Sparacino, A Facchinetti, ... KDH@ ECAI, 95-99, 2020 | 3 | 2020 |
| Machine learning-based anomaly detection algorithms to alert patients using sensor augmented pump of infusion site failures L Meneghetti, E Dassau, FJ Doyle III, S Del Favero Journal of Diabetes Science and Technology 16 (3), 641-648, 2022 | 2 | 2022 |
| A MACHINE LEARNING APPROACH FOR DETECTING INSULIN PUMP FAULTS L Meneghetti DIABETES TECHNOLOGY & THERAPEUTICS 22, A112-A113, 2020 | | 2020 |
| A MODEL-FREE APPROACH TO INSULIN PUMP FAILURES DETECTION L Meneghetti, M Terzi, GA Susto, S Del Favero, C Cobelli DIABETES TECHNOLOGY & THERAPEUTICS 21, A84-A84, 2019 | | 2019 |
| Continuous glucose monitoring based algorithms for basal insulin therapy modulation in type 1 diabetes L Meneghetti | | |
Simone Del FaveroAssistant Professor, Department of Information Engineering, University of PadovaBestätigte E-Mail-Adresse bei dei.unipd.it
