Giovanni Sparacino

103 papers B 2C 3Journal 62Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Addressing Current Unmet Clinical Needs by Co-Designing a Novel Web Interface for Decision Support in Pediatric Type 1 Diabetes. ICHI Luca Cossu, Giacomo Cappon, Elisa Pellizzari, Annalisa Deodati, Riccardo Schiaffini, Stefano Cianfarani, Giovanni Sparacino, Andrea Facchinetti
2025	J	`jnl`	Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes Treatment. IEEE J. Biomed. Health Informatics Elena Idi, Francesco Prendin, Giovanni Sparacino, Simone Del Favero
2025	J	`jnl`	Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors Data. IEEE Trans. Biomed. Eng. Eleonora Manzoni, Elena Idi, Nunzio Camerlingo, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2025	J	`jnl`	The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes. Comput. Methods Programs Biomed. Davide Dei Cas, Barbara Di Camillo, Gian Paolo Fadini, Giovanni Sparacino, Enrico Longato
2025	J	`jnl`	Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D Management. IEEE J. Biomed. Health Informatics Elena Idi, Eleonora Manzoni, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2024	J	`jnl`	A strategy based on integer programming for optimal dosing and timing of preventive hypoglycemic treatments in type 1 diabetes management. Comput. Methods Programs Biomed. Jacopo Pavan, Giulia Noaro, Andrea Facchinetti, Domenico Salvagnin, Giovanni Sparacino, Simone Del Favero
2024	—	`conf`	Characterization of Chronic Kidney Disease Progression in Patients with Diabetes via Group-Based Multi-Trajectory Modeling. EMBC Alessandro Guazzo, Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Rema Padman, Barbara Di Camillo
2024	J	`jnl`	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. Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino
2024	J	`jnl`	Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes. CoRR Davide Dei Cas, Barbara Di Camillo, Gian Paolo Fadini, Giovanni Sparacino, Enrico Longato
2024	J	`jnl`	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. Chiara Roversi, Nunzio Camerlingo, Martina Vettoretti, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino, Simone Del Favero
2023	C	`conf`	A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy. BSN Elisa Pellizzari, Francesco Prendin, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
2023	J	`jnl`	A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials. Comput. Methods Programs Biomed. Martina Vettoretti, Martina Drecogna, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
2023	B	`conf`	Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis. AIME Enrico Longato, Erica Tavazzi, Adriano Chiò, Gabriele Mora, Giovanni Sparacino, Barbara Di Camillo
2023	C	`conf`	Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters. BSN Elena Idi, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2023	J	`jnl`	Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabetes. IEEE Trans. Control. Syst. Technol. Jacopo Pavan, Domenico Salvagnin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2023	J	`jnl`	Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One. IEEE Trans. Biomed. Eng. Giacomo Cappon, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2023	J	`jnl`	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. Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2023	C	`conf`	System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children. BSN Giacomo Cappon, Elisa Pellizzari, Luca Cossu, Giovanni Sparacino, Annalisa Deodati, Riccardo Schiaffini, Stefano Cianfarani, Andrea Facchinetti
2022	J	`jnl`	Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions. Sensors Francesco Prendin, José-Luis Díez, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti, Jorge Bondia
2022	—	`conf`	Data-Driven Supervised Compression Artifacts Detection on Continuous Glucose Sensors. EMBC Elena Idi, Eleonora Manzoni, Giovanni Sparacino, Simone Del Favero
2022	—	`conf`	Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports. LOD (1) Alessandro Guazzo, Enrico Longato, Gian Paolo Fadini, Mario Luca Morieri, Giovanni Sparacino, Barbara Di Camillo
2022	J	`jnl`	Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for Comput. Methods Programs Biomed. Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino
2022	J	`jnl`	Linear Model Identification for Personalized Prediction and Control in Diabetes. IEEE Trans. Biomed. Eng. Simone Faccioli, Andrea Facchinetti, Giovanni Sparacino, Gianluigi Pillonetto, Simone Del Favero
2022	—	`conf`	Sleep spindles changes in people with previous COVID-19 infection. EMBC Maria Rubega, Emanuela Formaggio, Luciana Ciringione, Margherita Bertuccelli, Matilde Paramento, Giovanni Sparacino, Andrea Vianello, Stefano Masiero, Alessandra Del Felice
2022	J	`jnl`	Super-twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario. Comput. Methods Programs Biomed. Simone Faccioli, Iván Sala-Mira, José-Luis Díez, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero, Jorge Bondia
2022	J	`jnl`	Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes. Comput. Methods Programs Biomed. Enrico Longato, Mario Luca Morieri, Giovanni Sparacino, Barbara Di Camillo, Annamaria Cattelan, Sara Lo Menzo, Marco Trevenzoli, Andrea Vianello, Gabriella Guarnieri, Federico Lionello, Angelo Avogaro, Paola Fioretto, Roberto Vettor, Gian Paolo Fadini
2021	—	`conf`	A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes. EMBC Giacomo Cappon, Emanuele Pighin, Francesco Prendin, Giovanni Sparacino, Andrea Facchinetti
2021	J	`jnl`	A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims. IEEE J. Biomed. Health Informatics Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Lara Tramontan, Barbara Di Camillo
2021	—	`conf`	A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters. EMBC Nunzio Camerlingo, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti, Julia K. Mader, Pratik Choudhary, Simone Del Favero
2021	—	`conf`	A New Decision Support System for Type 1 Diabetes Management. EMBC Giacomo Cappon, Giulia Noaro, Nunzio Camerlingo, Luca Cossu, Giovanni Sparacino, Andrea Facchinetti
2021	—	`conf`	An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management. EMBC Giulia Noaro, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
2021	—	`conf`	Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings. BIBM Alessandro Guazzo, Alessandro Battaggia, Enrico Longato, Bruno Franco-Novelletto, Angelo Avogaro, Gian Paolo Fadini, Maurizio Cancian, Barbara Di Camillo, Giovanni Sparacino, Massimo Fusello
2021	—	`conf`	Data Gap Modeling in Continuous Glucose Monitoring Sensor Data. EMBC Martina Drecogna, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
2021	J	`jnl`	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 Francesco Prendin, Simone Del Favero, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti
2021	J	`jnl`	Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy. IEEE Trans. Biomed. Eng. Giulia Noaro, Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2021	B	`conf`	Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data. AIME Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Barbara Di Camillo
2020	—	`conf`	A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes. KDH@ECAI Giacomo Cappon, Lorenzo Meneghetti, Francesco Prendin, Jacopo Pavan, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2020	—	`conf`	A Time-Frequency Analysis for the Online Detection of the N2pc Event-Related Potential (ERP) Component in Individual EEG Datasets. EMBC Francesca Marturano, Sabrina Brigadoi, Mattia Doro, Roberto Dell'Acqua, Giovanni Sparacino
2020	J	`jnl`	Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors. Sensors Martina Vettoretti, Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino
2020	J	`jnl`	Detection of Hypoglycemia Using Measures of EEG Complexity in Type 1 Diabetes Patients. Entropy Maria Rubega, Fabio Scarpa, Debora Teodori, Anne-Sophie Sejling, Christian S. Frandsen, Giovanni Sparacino
2020	—	`conf`	Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy. EMBC Giulia Noaro, Giacomo Cappon, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2020	—	`conf`	Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction. KDH@ECAI Jacopo Pavan, Francesco Prendin, Lorenzo Meneghetti, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti, Simone Del Favero
2019	—	`conf`	A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data. EMBC Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2019	J	`jnl`	Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes - An In Silico Proof-of-Concept. Sensors Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Pantelis Georgiou, Pau Herrero
2019	—	`conf`	Detecting Undiagnosed Diabetes: Proof-of-Concept Based on the Health-Information Exchange System of the Veneto Region (North-East Italy). EMBC Enrico Longato, Barbara Di Camillo, Giovanni Sparacino, Claudio Saccavini, Arianna Cocchiglia, Lara Tramontan, Gian Paolo Fadini
2019	J	`jnl`	Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime. Sensors Martina Vettoretti, Cristina Battocchio, Giovanni Sparacino, Andrea Facchinetti
2019	—	`conf`	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 Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
2019	—	`conf`	Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data. EMBC Martina Vettoretti, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti
2019	J	`jnl`	Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device. Sensors Giada Acciaroli, Mattia Zanon, Andrea Facchinetti, Andreas Caduff, Giovanni Sparacino
2018	—	`conf`	Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management. EMBC Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino
2018	J	`jnl`	Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data. Comput. Biol. Medicine Enrico Longato, Giada Acciaroli, Andrea Facchinetti, Liisa Hakaste, Tuomi Tiinamaija, Alberto Maran, Giovanni Sparacino
2018	—	`conf`	Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models. EMBC Giada Acciaroli, Andrea Facchinetti, Gianluigi Pillonetto, Giovanni Sparacino
2018	—	`conf`	Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information. EMBC Giacomo Cappon, Martina Vettoretti, Francesca Marturano, Andrea Facchinetti, Giovanni Sparacino
2018	J	`jnl`	Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework. IEEE Trans. Biomed. Eng. Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2018	J	`jnl`	Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments. IEEE Trans. Biomed. Eng. Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2017	J	`jnl`	Algorithm and software to automatically identify latency and amplitude features of local field potentials recorded in electrophysiological investigation. Source Code Biol. Medicine Maria Rubega, Claudia Cecchetto, Stefano Vassanelli, Giovanni Sparacino
2017	J	`jnl`	Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm. Biomed. Signal Process. Control. Fabio Scarpa, Maria Rubega, Mattia Zanon, Francesca Finotello, Anne-Sophie Sejling, Giovanni Sparacino
2016	J	`jnl`	Measuring Cerebral Activation From fNIRS Signals: An Approach Based on Compressive Sensing and Taylor-Fourier Model. IEEE Trans. Instrum. Meas. Guglielmo Frigo, Sabrina Brigadoi, Giada Giorgi, Giovanni Sparacino, Claudio Narduzzi
2016	J	`jnl`	Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors. IEEE Trans. Biomed. Eng. Martina Vettoretti, Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
2015	—	`conf`	A compressive sensing spectral model for fNIRS haemodynamic response de-noising. MeMeA Guglielmo Frigo, Sabrina Brigadoi, Giada Giorgi, Giovanni Sparacino, Claudio Narduzzi
2015	—	`conf`	A software-based platform for multichannel electrophysiological data acquisition. MeMeA Guglielmo Frigo, Maria Rubega, G. Lezziero, Roberto Fontana, Claudia Cecchetto, Stefano Vassanelli, Giovanni Sparacino, Matteo Bertocco
2015	—	`conf`	Accuracy of devices for self-monitoring of blood glucose: A stochastic error model. EMBC Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2015	—	`conf`	Automated analysis of local field potentials evoked by mechanical whisker stimulation in rat barrel cortex. EMBC Maria Rubega, Claudia Cecchetto, Stefano Vassanelli, Giovanni Sparacino
2015	—	`conf`	Decrease of EEG Coherence during hypoglycemia in type 1 diabetic subjects. EMBC Maria Rubega, Giovanni Sparacino, Anne-Sophie Sejling, Claus Bogh Juhl, Claudio Cobelli
2015	J	`jnl`	Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices. Medical Biol. Eng. Comput. Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
2015	—	`conf`	Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment. EMBC Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2014	J	`jnl`	An EEGLAB plugin to analyze individual EEG alpha rhythms using the "channel reactivity-based method". Comput. Methods Programs Biomed. Anahita Goljahani, Patrizia Silvia Bisiacchi, Giovanni Sparacino
2014	J	`jnl`	Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution. IEEE Trans. Biomed. Eng. Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2014	J	`jnl`	Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information. Comput. Methods Programs Biomed. Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2014	J	`jnl`	Modeling the Glucose Sensor Error. IEEE Trans. Biomed. Eng. Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Jessica Castle, W. Kenneth Ward, Claudio Cobelli
2014	J	`jnl`	Preprocessing by a Bayesian Single-Trial Event-Related Potential Estimation Technique Allows Feasibility of an Assistive Single-Channel P300-Based Brain-Computer Interface. Comput. Math. Methods Medicine Anahita Goljahani, Costanza D'Avanzo, Stefano Silvoni, Paolo Tonin, Francesco Piccione, Giovanni Sparacino
2014	—	`conf`	Sparse Principal Component Analysis for the parsimonious description of glucose variability in diabetes. EMBC Chiara Fabris, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2013	J	`jnl`	A multi-task learning approach for the extraction of single-trial evoked potentials. Comput. Methods Programs Biomed. Costanza D'Avanzo, Anahita Goljahani, Gianluigi Pillonetto, Giuseppe De Nicolao, Giovanni Sparacino
2013	J	`jnl`	A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements. NeuroImage Fabio Scarpa, Sabrina Brigadoi, Simone Cutini, Pietro Scatturin, Marco Zorzi, Roberto Dell'Acqua, Giovanni Sparacino
2013	J	`jnl`	An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects. IEEE Trans. Biomed. Eng. Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
2013	—	`conf`	Neural Network for Prediction of Glucose Concentration in Type 1 Diabetic Patients. SCAI Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2013	J	`jnl`	Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness. Sensors Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Mark Talary, Martin Mueller, Andreas Caduff, Claudio Cobelli
2013	J	`jnl`	Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management. J. Appl. Math. Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Mark Talary, Andreas Caduff, Claudio Cobelli
2013	J	`jnl`	Voice disorders assessed by (cross-) Sample Entropy of electroglottogram and microphone signals. Biomed. Signal Process. Control. Chiara Fabris, Wladimiro De Colle, Giovanni Sparacino
2012	J	`jnl`	A novel method for the determination of the EEG individual alpha frequency. NeuroImage Anahita Goljahani, Costanza D'Avanzo, Sami Schiff, Piero Amodio, Patrizia Silvia Bisiacchi, Giovanni Sparacino
2012	J	`jnl`	Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach. IEEE Trans. Biomed. Eng. Stefania Guerra, Andrea Facchinetti, Giovanni Sparacino, Giuseppe De Nicolao, Claudio Cobelli
2012	J	`jnl`	Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management. Sensors Giovanni Sparacino, Mattia Zanon, Andrea Facchinetti, Chiara Zecchin, Alberto Maran, Claudio Cobelli
2012	J	`jnl`	Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration. IEEE Trans. Biomed. Eng. Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Giuseppe De Nicolao, Claudio Cobelli
2012	J	`jnl`	Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system. Medical Biol. Eng. Comput. Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Michela Riz, Mark Talary, Roland E. Suri, Andreas Caduff, Claudio Cobelli
2011	—	`conf`	A methodology to improve estimation of stimulus-evoked hemodynamic response from fNIRS measurements. EMBC Fabio Scarpa, Sabrina Brigadoi, Simone Cutini, Pietro Scatturin, Marco Zorzi, Roberto Dell'Acqua, Giovanni Sparacino
2011	—	`conf`	A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information. EMBC Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Giuseppe De Nicolao, Claudio Cobelli
2011	—	`conf`	Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring. EMBC Mattia Zanon, Michela Riz, Giovanni Sparacino, Andrea Facchinetti, Roland E. Suri, Mark S. Talary, Claudio Cobelli
2011	—	`conf`	Detecting failures of the glucose sensor-insulin pump system: Improved overnight safety monitoring for Type-1 diabetes. EMBC Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
2011	J	`jnl`	Online Denoising Method to Handle Intraindividual Variability of Signal-to-Noise Ratio in Continuous Glucose Monitoring. IEEE Trans. Biomed. Eng. Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2010	J	`jnl`	"Smart" Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues. Sensors Giovanni Sparacino, Andrea Facchinetti, Claudio Cobelli
2010	J	`jnl`	An Online Self-Tunable Method to Denoise CGM Sensor Data. IEEE Trans. Biomed. Eng. Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2009	—	`conf`	Electroglottography and microphone signals assessed by approximate entropy in normal and dysphonic subjects. MAVEBA Giovanni Sparacino, Wladimiro De Colle, D. De Luca, Edoardo Arslan
2007	J	`jnl`	Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series. IEEE Trans. Biomed. Eng. Giovanni Sparacino, Francesca Zanderigo, Stefano Corazza, Alberto Maran, Andrea Facchinetti, Claudio Cobelli
2006	J	`jnl`	A new dynamic index of insulin sensitivity. IEEE Trans. Biomed. Eng. Gianluigi Pillonetto, Andrea Caumo, Giovanni Sparacino, Claudio Cobelli
2006	—	`conf`	Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data. EMBC Andrea Facchinetti, Giovanni Sparacino, Francesca Zanderigo, Claudio Cobelli
2004	J	`jnl`	"Population" approach improves parameter estimation of kinetic models from dynamic PET data. IEEE Trans. Medical Imaging Alessandra Bertoldo, Giovanni Sparacino, Claudio Cobelli
2002	J	`jnl`	A Bayesian approach to estimate evoked potentials. Comput. Methods Programs Biomed. Giovanni Sparacino, Stefano Milani, Edoardo Arslan, Claudio Cobelli
2002	J	`jnl`	WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems. Comput. Methods Programs Biomed. Giovanni Sparacino, Gianluigi Pillonetto, Massimo Capello, Giuseppe De Nicolao, Claudio Cobelli
2001	J	`jnl`	Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method. IEEE Trans. Biomed. Eng. Gianluigi Pillonetto, Giovanni Sparacino, Claudio Cobelli
2000	J	`jnl`	Fast spline smoothing via spectral factorization concepts. Autom. Giuseppe De Nicolao, Giancarlo Ferrari-Trecate, Giovanni Sparacino
2000	J	`jnl`	Maximum-likelihood versus maximum a posteriori parameter estimation of physiological system models: the c-peptide impulse response case study. IEEE Trans. Biomed. Eng. Giovanni Sparacino, Chiara Tombolato, Claudio Cobelli
1997	J	`jnl`	Nonparametric input estimation in physiological systems: Problems, methods, and case studies. Autom. Giuseppe De Nicolao, Giovanni Sparacino, Claudio Cobelli
1996	J	`jnl`	A stochastic deconvolution method to reconstruct insulin secretion rate after a glucose stimulus. IEEE Trans. Biomed. Eng. Giovanni Sparacino, Claudio Cobelli