Francesco Prendin

11 papers C 2Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes Treatment.
IEEE J. Biomed. Health Informatics
Elena Idi, Francesco Prendin, Giovanni Sparacino, Simone Del Favero
2025 — conf
Enhancing the Physiological Plausibility of GAN-Generated Blood Glucose in Type 1 Diabetes with Monotonicity Constraints.
MetroXRAINE
Elisa Pellizzari, Omer Mujahid, Francesco Prendin, Oriol Bustos, Giacomo Cappon, Andrea Facchinetti, Josep Vehí
2025 J jnl
Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions.
BMC Medical Informatics Decis. Mak.
Francesco Prendin, Olivia Streicher, Giacomo Cappon, Eva Rolfes, David Herzig, Lia Bally, Andrea Facchinetti
2023 C conf
A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy.
BSN
Elisa Pellizzari, Francesco Prendin, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
2023 C conf
Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters.
BSN
Elena Idi, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2023 J jnl
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One.
IEEE Trans. Biomed. Eng.
Giacomo Cappon, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2022 J jnl
Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions.
Sensors
Francesco Prendin, José-Luis Díez, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti, Jorge Bondia
2021 — conf
A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes.
EMBC
Giacomo Cappon, Emanuele Pighin, Francesco Prendin, Giovanni Sparacino, Andrea Facchinetti
2021 J jnl
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
Francesco Prendin, Simone Del Favero, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti
2020 — conf
A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes.
KDH@ECAI
Giacomo Cappon, Lorenzo Meneghetti, Francesco Prendin, Jacopo Pavan, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2020 — conf
Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction.
KDH@ECAI
Jacopo Pavan, Francesco Prendin, Lorenzo Meneghetti, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti, Simone Del Favero