A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes. - Giacomo Cappon; Lorenzo Meneghetti; Francesco Prendin; Jacopo Pavan; Giovanni Sparacino; Simone Del Favero; Andrea Facchinetti (KDH@ECAI, 2020)

Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction. - Jacopo Pavan; Francesco Prendin; Lorenzo Meneghetti; Giacomo Cappon; Giovanni Sparacino; Andrea Facchinetti; Simone Del Favero (KDH@ECAI, 2020)

A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes. - Giacomo Cappon; Emanuele Pighin; Francesco Prendin; Giovanni Sparacino; Andrea Facchinetti (EMBC, 2021)

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. - Francesco Prendin; Simone Del Favero; Martina Vettoretti; Giovanni Sparacino; Andrea Facchinetti (Sensors, 2021)

Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions. - Francesco Prendin; José-Luis Díez; Simone Del Favero; Giovanni Sparacino; Andrea Facchinetti; Jorge Bondia (Sensors, 2022)

Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters. - Elena Idi; Francesco Prendin; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (BSN, 2023)

A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy. - Elisa Pellizzari; Francesco Prendin; Giacomo Cappon; Giovanni Sparacino; Andrea Facchinetti (BSN, 2023)

Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One. - Giacomo Cappon; Francesco Prendin; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (IEEE Trans. Biomed. Eng., 2023)

Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes Treatment. - Elena Idi; Francesco Prendin; Giovanni Sparacino; Simone Del Favero (IEEE J. Biomed. Health Informatics, 2025)

Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions. - Francesco Prendin; Olivia Streicher; Giacomo Cappon; Eva Rolfes; David Herzig; Lia Bally; Andrea Facchinetti (BMC Medical Informatics Decis. Mak., 2025)