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Francesco Prendin
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2020 – today
- 2023
- [j3]Giacomo Cappon, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero:
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One. IEEE Trans. Biomed. Eng. 70(11): 3105-3115 (2023) - [c5]Elena Idi, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero:
Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters. BSN 2023: 1-4 - [c4]Elisa Pellizzari, Francesco Prendin, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti:
A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy. BSN 2023: 1-4 - 2022
- [j2]Francesco Prendin, José-Luis Díez, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti, Jorge Bondia:
Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions. Sensors 22(22): 8682 (2022) - 2021
- [j1]Francesco Prendin, Simone Del Favero, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti:
Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only. Sensors 21(5): 1647 (2021) - [c3]Giacomo Cappon, Emanuele Pighin, Francesco Prendin, Giovanni Sparacino, Andrea Facchinetti:
A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes. EMBC 2021: 1832-1835 - 2020
- [c2]Giacomo Cappon, Lorenzo Meneghetti, Francesco Prendin, Jacopo Pavan, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti:
A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes. KDH@ECAI 2020: 75-79 - [c1]Jacopo Pavan, Francesco Prendin, Lorenzo Meneghetti, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti, Simone Del Favero:
Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction. KDH@ECAI 2020: 95-99
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