Distributed sensor calibration and least-square parameter identification in WSNs using consensus algorithms. - Saverio Bolognani; Simone Del Favero; Luca Schenato 001; Damiano Varagnolo (Allerton, 2008)

Distributed estimation through randomized gossip Kalman filter. - Simone Del Favero; Sandro Zampieri (CDC, 2009)

On the discardability of data in support vector classification problems. - Simone Del Favero; Damiano Varagnolo; Francesco Dinuzzo; Luca Schenato 001; Gianluigi Pillonetto (CDC/ECC, 2011)

Detecting failures of the glucose sensor-insulin pump system: Improved overnight safety monitoring for Type-1 diabetes. - Andrea Facchinetti; Simone Del Favero; Giovanni Sparacino; Claudio Cobelli (EMBC, 2011)

A majorization inequality and its application to distributed Kalman filtering. - Simone Del Favero; Sandro Zampieri (Autom., 2011)

Bayesian learning of probability density functions: A Markov chain Monte Carlo approach. - Simone Del Favero; Damiano Varagnolo; Gianluigi Pillonetto (CDC, 2012)

A Glucose-Specific Metric to Assess Predictors and Identify Models. - Simone Del Favero; Andrea Facchinetti; Claudio Cobelli (IEEE Trans. Biomed. Eng., 2012)

Modular Closed-Loop Control of Diabetes. - Stephen D. Patek; Lalo Magni; Eyal Dassau; Christopher W. Karvetski; Chiara Toffanin; Giuseppe De Nicolao; Simone Del Favero; Marc D. Breton; Chiara Dalla Man; Elisabeth Renard; Howard C. Zisser; Francis J. Doyle III; et al. (IEEE Trans. Biomed. Eng., 2012)

Distributed Kalman smoothing in static Bayesian networks. - Gianluigi Pillonetto; Bradley M. Bell; Simone Del Favero (Autom., 2013)

An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects. - Andrea Facchinetti; Simone Del Favero; Giovanni Sparacino; Claudio Cobelli (IEEE Trans. Biomed. Eng., 2013)

Finding Potential Support Vectors in Separable Classification Problems. - Damiano Varagnolo; Simone Del Favero; Francesco Dinuzzo; Luca Schenato 001; Gianluigi Pillonetto (IEEE Trans. Neural Networks Learn. Syst., 2013)

Modeling the Glucose Sensor Error. - Andrea Facchinetti; Simone Del Favero; Giovanni Sparacino; Jessica Castle; W. Kenneth Ward; Claudio Cobelli (IEEE Trans. Biomed. Eng., 2014)

Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution. - Simone Del Favero; Andrea Facchinetti; Giovanni Sparacino; Claudio Cobelli (IEEE Trans. Biomed. Eng., 2014)

Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices. - Andrea Facchinetti; Simone Del Favero; Giovanni Sparacino; Claudio Cobelli (Medical Biol. Eng. Comput., 2015)

Designing an artificial pancreas architecture: the AP@home experience. - Giordano Lanzola; Chiara Toffanin; Federico Di Palma; Simone Del Favero; Lalo Magni; Riccardo Bellazzi (Medical Biol. Eng. Comput., 2015)

Remote Blood Glucose Monitoring in mHealth Scenarios: A Review. - Giordano Lanzola; Eleonora Losiouk; Simone Del Favero; Andrea Facchinetti; Alfonso Galderisi; Silvana Quaglini; Lalo Magni; Claudio Cobelli (Sensors, 2016)

Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors. - Martina Vettoretti; Andrea Facchinetti; Simone Del Favero; Giovanni Sparacino; Claudio Cobelli (IEEE Trans. Biomed. Eng., 2016)

Fault Detection in Artificial Pancreas: A Model-Free approach. - Lorenzo Meneghetti; Matteo Terzi; Gian Antonio Susto; Simone Del Favero; Claudio Cobelli (CDC, 2018)

Black-box Model Identification of Physical Activity in Type-l Diabetes Patients. - Simone Faccioli; Basak Ozaslan; Jose F. Garcia-Tirado; Marc D. Breton; Simone Del Favero (EMBC, 2018)

Bayesian strategies for calibrating heteroskedastic static sensors with unknown model structures. - Anas W. Alhashimi; Simone Del Favero; Damiano Varagnolo; Thomas Gustafsson; Gianluigi Pillonetto (ECC, 2018)

In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes. - Nunzio Camerlingo; Martina Vettoretti; Simone Del Favero; Giacomo Cappon; Giovanni Sparacino; Andrea Facchinetti (EMBC, 2019)

A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data. - Giacomo Cappon; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (EMBC, 2019)

Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data. - Martina Vettoretti; Simone Del Favero; Giovanni Sparacino; Andrea Facchinetti (EMBC, 2019)

Model individualization for artificial pancreas. - Mirko Messori; Chiara Toffanin; Simone Del Favero; Giuseppe De Nicolao; Claudio Cobelli; Lalo Magni (Comput. Methods Programs Biomed., 2019)

Analysis of a Minimal Gene Regulatory Network for Cell Differentiation. - Irene Zorzan; Simone Del Favero; Barbara Di Camillo; Luca Schenato 001 (IEEE Control. Syst. Lett., 2019)

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)

Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy. - Giulia Noaro; Giacomo Cappon; Giovanni Sparacino; Simone Del Favero; Andrea Facchinetti (EMBC, 2020)

Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. - Lorenzo Meneghetti; Matteo Terzi; Simone Del Favero; Gian Antonio Susto; Claudio Cobelli (IEEE Trans. Control. Syst. Technol., 2020)

A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters. - Nunzio Camerlingo; Martina Vettoretti; Giovanni Sparacino; Andrea Facchinetti; Julia K. Mader; Pratik Choudhary; Simone Del Favero (EMBC, 2021)

Data Gap Modeling in Continuous Glucose Monitoring Sensor Data. - Martina Drecogna; Martina Vettoretti; Simone Del Favero; Andrea Facchinetti; Giovanni Sparacino (EMBC, 2021)

A PID Control Algorithm for a Post-Prandial Hypoglycemic Clamp Study. - Jacopo Pavan; Chiara Dalla Man; David Herzig; Lia Bally; Simone Del Favero (EMBC, 2021)

Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response. - Irene Zorzan; Simone Del Favero; Alberto Giaretta 002; Riccardo Manganelli; Barbara Di Camillo; Luca Schenato 001 (BMC Bioinform., 2021)

Toward an Optimal Definition of Hypoglycemia with Continuous Glucose Monitoring. - Zeinab Mahmoudi; Simone Del Favero; Peter Jacob; Pratik Choudhary; Hypo-RESOLVE Consortium (Comput. Methods Programs Biomed., 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)

Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy. - Lorenzo Meneghetti; Andrea Facchinetti; Simone Del Favero (IEEE Trans. Biomed. Eng., 2021)

Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy. - Giulia Noaro; Giacomo Cappon; Martina Vettoretti; Giovanni Sparacino; Simone Del Favero; Andrea Facchinetti (IEEE Trans. Biomed. Eng., 2021)

Data-Driven Supervised Compression Artifacts Detection on Continuous Glucose Sensors. - Elena Idi; Eleonora Manzoni; Giovanni Sparacino; Simone Del Favero (EMBC, 2022)

Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach. - Nunzio Camerlingo; Martina Vettoretti; Simone Del Favero; Andrea Facchinetti; Pratik Choudhary; Giovanni Sparacino (Comput. Methods Programs Biomed., 2022)

Super-twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario. - Simone Faccioli; Iván Sala-Mira; José-Luis Díez; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero; Jorge Bondia (Comput. Methods Programs Biomed., 2022)

Gluclas: A software for computer-aided modulation of glucose infusion in glucose clamp experiments. - Jacopo Pavan; Chiara Dalla Man; David Herzig; Lia Bally; Simone Del Favero (Comput. Methods Programs Biomed., 2022)

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)

Linear Model Identification for Personalized Prediction and Control in Diabetes. - Simone Faccioli; Andrea Facchinetti; Giovanni Sparacino; Gianluigi Pillonetto; Simone Del Favero (IEEE Trans. Biomed. Eng., 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)

Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabetes. - Jacopo Pavan; Domenico Salvagnin; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (IEEE Trans. Control. Syst. Technol., 2023)

An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With Warfarin. - Edoardo Faggionato; Alessandro Guazzo; Elena Pegolo; Ruggero Carli; Mattia Bruschetta; Simone Del Favero (IEEE Trans. Biomed. Eng., 2023)

A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials. - Martina Vettoretti; Martina Drecogna; Simone Del Favero; Andrea Facchinetti; Giovanni Sparacino (Comput. Methods Programs Biomed., 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)

ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model From Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative Therapies. - Giacomo Cappon; Martina Vettoretti; Giovanni Sparacino; Simone Del Favero; Andrea Facchinetti (IEEE Trans. Biomed. Eng., 2023)

Fault Identification Enhancement with Reinforcement Learning (FIERL). - Valentina Zaccaria; Davide Sartor; Simone Del Favero; Gian Antonio Susto (ACC, 2024)

Including the Planning of Orally-Ingested Carbohydrates in a Zone Model Predictive Control for Artificial Pancreas. - Lorenzo Cester; Jacopo Pavan; Simone Del Favero (CDC, 2024)

Corrigendum to "Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree approach". - Nunzio Camerlingo; Martina Vettoretti; Simone Del Favero; Andrea Facchinetti; Pratik Choudhary; Giovanni Sparacino (Comput. Methods Programs Biomed., 2024)

A strategy based on integer programming for optimal dosing and timing of preventive hypoglycemic treatments in type 1 diabetes management. - Jacopo Pavan; Giulia Noaro; Andrea Facchinetti; Domenico Salvagnin; Giovanni Sparacino; Simone Del Favero (Comput. Methods Programs Biomed., 2024)

Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors. - Chiara Roversi; Nunzio Camerlingo; Martina Vettoretti; Andrea Facchinetti; Pratik Choudhary; Giovanni Sparacino; Simone Del Favero (Comput. Methods Programs Biomed., 2024)

Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D Management. - Elena Idi; Eleonora Manzoni; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (IEEE J. Biomed. Health Informatics, 2025)

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)

Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors Data. - Eleonora Manzoni; Elena Idi; Nunzio Camerlingo; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (IEEE Trans. Biomed. Eng., 2025)