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Simone Del Favero
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2020 – today
- 2024
- [j33]Chiara Roversi
, Nunzio Camerlingo
Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors. Comput. Methods Programs Biomed. 244: 107943 (2024) - [j32]Jacopo Pavan
A strategy based on integer programming for optimal dosing and timing of preventive hypoglycemic treatments in type 1 diabetes management. Comput. Methods Programs Biomed. 250: 108179 (2024) - [j31]Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Pratik Choudhary
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". Comput. Methods Programs Biomed. 252: 108232 (2024) - [c20]Valentina Zaccaria, Davide Sartor, Simone Del Favero, Gian Antonio Susto:
Fault Identification Enhancement with Reinforcement Learning (FIERL). ACC 2024: 1494-1499 - [i1]Valentina Zaccaria, Davide Sartor, Simone Del Favero, Gian Antonio Susto:
Fault Identification Enhancement with Reinforcement Learning (FIERL). CoRR abs/2405.04938 (2024) - 2023
- [j30]Martina Vettoretti, Martina Drecogna
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials. Comput. Methods Programs Biomed. 240: 107700 (2023) - [j29]Edoardo Faggionato
An Adaptive Model Predictive Controller to Address the Biovariability in Blood Clotting Response During Therapy With Warfarin. IEEE Trans. Biomed. Eng. 70(9): 2667-2678 (2023) - [j28]Giacomo Cappon
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) - [j27]Giacomo Cappon
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. 70(11): 3227-3238 (2023) - [j26]Jacopo Pavan
Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabetes. IEEE Trans. Control. Syst. Technol. 31(2): 570-586 (2023) - [c19]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 - 2022
- [j25]Simone Faccioli
Super-twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario. Comput. Methods Programs Biomed. 219: 106736 (2022) - [j24]Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero
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. Comput. Methods Programs Biomed. 221: 106862 (2022) - [j23]Jacopo Pavan
Gluclas: A software for computer-aided modulation of glucose infusion in glucose clamp experiments. Comput. Methods Programs Biomed. 225: 107104 (2022) - [j22]Francesco Prendin
Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions. Sensors 22(22): 8682 (2022) - [j21]Simone Faccioli
Linear Model Identification for Personalized Prediction and Control in Diabetes. IEEE Trans. Biomed. Eng. 69(2): 558-568 (2022) - [c18]Elena Idi, Eleonora Manzoni, Giovanni Sparacino, Simone Del Favero
Data-Driven Supervised Compression Artifacts Detection on Continuous Glucose Sensors. EMBC 2022: 1145-1148 - 2021
- [j20]Irene Zorzan
Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response. BMC Bioinform. 22(1): 558 (2021) - [j19]Zeinab Mahmoudi
Toward an Optimal Definition of Hypoglycemia with Continuous Glucose Monitoring. Comput. Methods Programs Biomed. 209: 106303 (2021) - [j18]Francesco Prendin
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) - [j17]Lorenzo Meneghetti
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. 68(1): 170-180 (2021) - [j16]Giulia Noaro
Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy. IEEE Trans. Biomed. Eng. 68(1): 247-255 (2021) - [c17]Jacopo Pavan
A PID Control Algorithm for a Post-Prandial Hypoglycemic Clamp Study. EMBC 2021: 677-680 - [c16]Nunzio Camerlingo, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti, Julia K. Mader
A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters. EMBC 2021: 1435-1438 - [c15]Martina Drecogna, Martina Vettoretti, Simone Del Favero
Data Gap Modeling in Continuous Glucose Monitoring Sensor Data. EMBC 2021: 4379-4382 - 2020
- [j15]Lorenzo Meneghetti
Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. IEEE Trans. Control. Syst. Technol. 28(1): 33-47 (2020) - [c14]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 - [c13]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 - [c12]Giulia Noaro
Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy. EMBC 2020: 5502-5505
2010 – 2019
- 2019
- [j14]Mirko Messori
Model individualization for artificial pancreas. Comput. Methods Programs Biomed. 171: 133-140 (2019) - [j13]Irene Zorzan
Analysis of a Minimal Gene Regulatory Network for Cell Differentiation. IEEE Control. Syst. Lett. 3(2): 302-307 (2019) - [c11]Martina Vettoretti
Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data. EMBC 2019: 750-753 - [c10]Nunzio Camerlingo, Martina Vettoretti
In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes. EMBC 2019: 4133-4136 - [c9]Giacomo Cappon
A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data. EMBC 2019: 6914-6917 - 2018
- [c8]Lorenzo Meneghetti, Matteo Terzi
Fault Detection in Artificial Pancreas: A Model-Free approach. CDC 2018: 303-308 - [c7]Simone Faccioli
Black-box Model Identification of Physical Activity in Type-l Diabetes Patients. EMBC 2018: 3910-3913 - [c6]Anas W. Alhashimi, Simone Del Favero
Bayesian strategies for calibrating heteroskedastic static sensors with unknown model structures. ECC 2018: 2447-2453 - 2016
- [j12]Giordano Lanzola, Eleonora Losiouk
Remote Blood Glucose Monitoring in mHealth Scenarios: A Review. Sensors 16(12): 1983 (2016) - [j11]Martina Vettoretti
Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors. IEEE Trans. Biomed. Eng. 63(8): 1631-1641 (2016) - 2015
- [j10]Andrea Facchinetti, Simone Del Favero
Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices. Medical Biol. Eng. Comput. 53(12): 1259-1269 (2015) - [j9]Giordano Lanzola, Chiara Toffanin
Designing an artificial pancreas architecture: the AP@home experience. Medical Biol. Eng. Comput. 53(12): 1271-1283 (2015) - 2014
- [j8]Andrea Facchinetti, Simone Del Favero
Modeling the Glucose Sensor Error. IEEE Trans. Biomed. Eng. 61(3): 620-629 (2014) - [j7]Simone Del Favero
Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution. IEEE Trans. Biomed. Eng. 61(4): 1044-1053 (2014) - 2013
- [j6]Gianluigi Pillonetto, Bradley M. Bell, Simone Del Favero
Distributed Kalman smoothing in static Bayesian networks. Autom. 49(4): 1001-1011 (2013) - [j5]Andrea Facchinetti, Simone Del Favero
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects. IEEE Trans. Biomed. Eng. 60(2): 406-416 (2013) - [j4]Damiano Varagnolo
Finding Potential Support Vectors in Separable Classification Problems. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1799-1813 (2013) - 2012
- [j3]Simone Del Favero
A Glucose-Specific Metric to Assess Predictors and Identify Models. IEEE Trans. Biomed. Eng. 59(5): 1281-1290 (2012) - [j2]Stephen D. Patek, Lalo Magni
Modular Closed-Loop Control of Diabetes. IEEE Trans. Biomed. Eng. 59(11-1): 2986-2999 (2012) - [c5]Simone Del Favero
Bayesian learning of probability density functions: A Markov chain Monte Carlo approach. CDC 2012: 1512-1517 - 2011
- [j1]Simone Del Favero
A majorization inequality and its application to distributed Kalman filtering. Autom. 47(11): 2438-2443 (2011) - [c4]Simone Del Favero
On the discardability of data in support vector classification problems. CDC/ECC 2011: 3210-3215 - [c3]Andrea Facchinetti, Simone Del Favero
Detecting failures of the glucose sensor-insulin pump system: Improved overnight safety monitoring for Type-1 diabetes. EMBC 2011: 4947-4950
2000 – 2009
- 2009
- [c2]Simone Del Favero
Distributed estimation through randomized gossip Kalman filter. CDC 2009: 7049-7054 - 2008
- [c1]Saverio Bolognani
Distributed sensor calibration and least-square parameter identification in WSNs using consensus algorithms. Allerton 2008: 1191-1198
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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