Mattia Zanon

Процитировано

	Все	Начиная с 2020 г.
Статистика цитирования	424	211
h-индекс	14	9
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Giovanni SparacinoFull Professor of Biomedical Engineering - University of Padova, ItalyПодтвержден адрес электронной почты в домене dei.unipd.it
Andrea FacchinettiAssociate Professor, Department of Information Engineering, University of PadovaПодтвержден адрес электронной почты в домене dei.unipd.it
Claudio CobelliFull Professor of Bioengineering, University of PadovaПодтвержден адрес электронной почты в домене dei.unipd.it
Andreas CaduffHUJIПодтвержден адрес электронной почты в домене vituria.com
Martin MüllerПодтвержден адрес электронной почты в домене insel.ch
Donath MarcUniversity Hospital BaselПодтвержден адрес электронной почты в домене usb.ch
Pavel ZakharovIROC Science AGПодтвержден адрес электронной почты в домене irocscience.com
Seán McLooneQueen's University BelfastПодтвержден адрес электронной почты в домене qub.ac.uk
Gian Antonio SustoAssociate Professor @ University of Padova, Co-founder @ StatwolfПодтвержден адрес электронной почты в домене dei.unipd.it
Roland E. SuriETH Zurich, SwitzerlandПодтвержден адрес электронной почты в домене library.ethz.ch
Francesca FinotelloUniversity of Innsbruck, AustriaПодтвержден адрес электронной почты в домене uibk.ac.at
Fabio ScarpaAssistant Professor - Department of Information Engineering, University of PaduaПодтвержден адрес электронной почты в домене unipd.it
Frank DondelingerDirector of Data Science, NBR Oncology, NovartisПодтвержден адрес электронной почты в домене novartis.com
Michael LindemannBaden-Wuerttemberg Cooperative State UniversityПодтвержден адрес электронной почты в домене dhbw-loerrach.de
Yuri FeldmanThe Hebrew University of JerusalemПодтвержден адрес электронной почты в домене mail.huji.ac.il
Maria RubegaNon-tenured Assistant Professor, Department of Neurosciences, University of PadovaПодтвержден адрес электронной почты в домене unipd.it
Giada AcciaroliPh.D. student, University of PadovaПодтвержден адрес электронной почты в домене phd.unipd.it
Christopher ChathamSenior Director, Medical Biomarker Research, Shionogi, IncПодтвержден адрес электронной почты в домене shionogi.com
Joerg HippF. Hoffmann-La Roche Ltd.Подтвержден адрес электронной почты в домене roche.com
Giacomo Pietro ComiProfessor of NeurologyПодтвержден адрес электронной почты в домене unimi.it

Mattia Zanon

Principal (data) scientist

Подтвержден адрес электронной почты в домене roche.com - Главная страница

Digital Health & Personalised Healthcare Diabetes Digital Biomarkers Machine learning & Digital Signal Processing Wearables


Название По числу цитат По году По названию	Процитировано Процитировано	Год
Glucose variability indices in type 1 diabetes: parsimonious set of indices revealed by sparse principal component analysis C Fabris, A Facchinetti, G Sparacino, M Zanon, S Guerra, A Maran, ... Diabetes technology & therapeutics 16 (10), 644-652, 2014	53	2014
An adaptive machine learning decision system for flexible predictive maintenance GA Susto, J Wan, S Pampuri, M Zanon, AB Johnston, PG O'Hara, ... 2014 IEEE international conference on automation science and engineering …, 2014	44	2014
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the multisensor system M Zanon, G Sparacino, A Facchinetti, M Riz, MS Talary, RE Suri, A Caduff, ... Medical & biological engineering & computing 50, 1047-1057, 2012	38	2012
Italian contributions to the development of continuous glucose monitoring sensors for diabetes management G Sparacino, M Zanon, A Facchinetti, C Zecchin, A Maran, C Cobelli Sensors 12 (10), 13753-13780, 2012	36	2012
EEG signal features extraction based on fractal dimension F Finotello, F Scarpa, M Zanon 2015 37th Annual International Conference of the IEEE Engineering in …, 2015	31	2015
Non-invasive continuous glucose monitoring with multi-sensor systems: a Monte Carlo-based methodology for assessing calibration robustness M Zanon, G Sparacino, A Facchinetti, MS Talary, M Mueller, A Caduff, ... Sensors 13 (6), 7279-7295, 2013	30	2013
First experiences with a wearable multisensor device in a noninvasive continuous glucose monitoring study at home, part II: the investigators’ view M Zanon, M Mueller, P Zakharov, MS Talary, M Donath, WA Stahel, ... Journal of diabetes science and technology 12 (3), 554-561, 2018	28	2018
The effect of a global, subject, and device-specific model on a noninvasive glucose monitoring multisensor system A Caduff, M Zanon, M Mueller, P Zakharov, Y Feldman, O De Feo, ... Journal of diabetes science and technology 9 (4), 865-872, 2015	28	2015
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring M Zanon, M Riz, G Sparacino, A Facchinetti, RE Suri, MS Talary, ... 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011	25	2011
Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm F Scarpa, M Rubega, M Zanon, F Finotello, AS Sejling, G Sparacino Biomedical Signal Processing and Control 38, 168-173, 2017	22	2017
Regularised model identification improves accuracy of multisensor systems for noninvasive continuous glucose monitoring in diabetes management M Zanon, G Sparacino, A Facchinetti, MS Talary, A Caduff, C Cobelli Journal of Applied Mathematics 2013 (1), 793869, 2013	22	2013
First experiences with a wearable multisensor in an outpatient glucose monitoring study, part I: the users’ view A Caduff, M Zanon, P Zakharov, M Mueller, M Talary, A Krebs, WA Stahel, ... Journal of diabetes science and technology 12 (3), 562-568, 2018	16	2018
Retrospective continuous-time blood glucose estimation in free living conditions with a non-invasive multisensor device G Acciaroli, M Zanon, A Facchinetti, A Caduff, G Sparacino Sensors 19 (17), 3677, 2019	14	2019
Root cause analysis by a combined sparse classification and Monte Carlo approach M Zanon, GA Susto, S McLoone IFAC Proceedings Volumes 47 (3), 1947-1952, 2014	14	2014
Sparse logistic regression: Comparison of regularization and bayesian implementations M Zanon, G Zambonin, GA Susto, S McLoone Algorithms 13 (6), 137, 2020	7	2020
An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: floodlight GaitLab protocol MD Rinderknecht, M Zanon, TA Boonstra, L Angelini, D Stanev, GG Chan, ... Digital Health 9, 20552076231205284, 2023	4	2023
A quality metric for heart rate variability from photoplethysmogram sensor data M Zanon, L Kriara, F Lipsmeier, D Nobbs, C Chatham, J Hipp, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020	4	2020
Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders G Bogaarts, M Zanon, F Dondelinger, A Derungs, F Lipsmeier, C Gossens, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021	3	2021
Novel smartphone sensor-based scores for remote measurement of gait and hand function impairment in people with MS D Rukina, G Bogaarts, F Dondelinger, S Hubeaux, M Zanon, L Craveiro, ... Mult Scler 27 (2 Supplement), P306, 2021	3	2021
Non-Invasive Continuous Glucose Monitoring: Identification of Models for Multi-Sensor Systems M Zanon University of Padova, 2013	1	2013

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