Simone Del Favero
Orcid: 0000-0002-8214-2752
According to our database1,
Simone Del Favero
authored at least 49 papers
between 2008 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
On csauthors.net:
Bibliography
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.
IEEE Trans. Biomed. Eng., November, 2023
Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One.
IEEE Trans. Biomed. Eng., November, 2023
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials.
Comput. Methods Programs Biomed., October, 2023
An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With Warfarin.
IEEE Trans. Biomed. Eng., September, 2023
Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabetes.
IEEE Trans. Control. Syst. Technol., March, 2023
Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
2022
IEEE Trans. Biomed. Eng., 2022
Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions.
Sensors, 2022
Gluclas: A software for computer-aided modulation of glucose infusion in glucose clamp experiments.
Comput. Methods Programs Biomed., 2022
Super-twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario.
Comput. Methods Programs Biomed., 2022
Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for <i>in-silico</i> clinical trials: More realistic scenarios obtained using a decision tree approach.
Comput. Methods Programs Biomed., 2022
Data-Driven Supervised Compression Artifacts Detection on Continuous Glucose Sensors.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy.
IEEE Trans. Biomed. Eng., 2021
Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy.
IEEE Trans. Biomed. Eng., 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.
Sensors, 2021
Comput. Methods Programs Biomed., 2021
Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response.
BMC Bioinform., 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas.
IEEE Trans. Control. Syst. Technol., 2020
Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
2019
IEEE Control. Syst. Lett., 2019
Comput. Methods Programs Biomed., 2019
Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Bayesian strategies for calibrating heteroskedastic static sensors with unknown model structures.
Proceedings of the 16th European Control Conference, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2016
Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors.
IEEE Trans. Biomed. Eng., 2016
2015
Medical Biol. Eng. Comput., 2015
Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices.
Medical Biol. Eng. Comput., 2015
2014
Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution.
IEEE Trans. Biomed. Eng., 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects.
IEEE Trans. Biomed. Eng., 2013
2012
IEEE Trans. Biomed. Eng., 2012
Bayesian learning of probability density functions: A Markov chain Monte Carlo approach.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
Autom., 2011
Detecting failures of the glucose sensor-insulin pump system: Improved overnight safety monitoring for Type-1 diabetes.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
Distributed sensor calibration and least-square parameter identification in WSNs using consensus algorithms.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008