Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring. - Mattia Zanon; Michela Riz; Giovanni Sparacino; Andrea Facchinetti; Roland E. Suri; Mark S. Talary; Claudio Cobelli (EMBC, 2011)

Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system. - Mattia Zanon; Giovanni Sparacino; Andrea Facchinetti; Michela Riz; Mark Talary; Roland E. Suri; Andreas Caduff; Claudio Cobelli (Medical Biol. Eng. Comput., 2012)

Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management. - Giovanni Sparacino; Mattia Zanon; Andrea Facchinetti; Chiara Zecchin; Alberto Maran; Claudio Cobelli (Sensors, 2012)

Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management. - Mattia Zanon; Giovanni Sparacino; Andrea Facchinetti; Mark Talary; Andreas Caduff; Claudio Cobelli (J. Appl. Math., 2013)

Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness. - Mattia Zanon; Giovanni Sparacino; Andrea Facchinetti; Mark Talary; Martin Mueller; Andreas Caduff; Claudio Cobelli (Sensors, 2013)

An adaptive machine learning decision system for flexible predictive maintenance. - Gian Antonio Susto; Jian Wan 002; Simone Pampuri; Mattia Zanon; Adrian B. Johnston; Paul G. O'Hara; Seán F. McLoone (CASE, 2014)

EEG signal features extraction based on fractal dimension. - Francesca Finotello; Fabio Scarpa; Mattia Zanon (EMBC, 2015)

Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm. - Fabio Scarpa; Maria Rubega; Mattia Zanon; Francesca Finotello; Anne-Sophie Sejling; Giovanni Sparacino (Biomed. Signal Process. Control., 2017)

Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device. - Giada Acciaroli; Mattia Zanon; Andrea Facchinetti; Andreas Caduff; Giovanni Sparacino (Sensors, 2019)

A quality metric for heart rate variability from photoplethysmogram sensor data. - Mattia Zanon; Lito Kriara; Florian Lipsmeier; David Nobbs; Christopher Chatham; Joerg F. Hipp; Michael Lindemann (EMBC, 2020)

Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations. - Mattia Zanon; Giuliano Zambonin; Gian Antonio Susto; Seán F. McLoone (Algorithms, 2020)

Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders. - Guy Bogaarts; Mattia Zanon; Frank Dondelinger; Adrian Derungs; Florian Lipsmeier; Christian Gossens; Michael Lindemann (EMBC, 2021)