SPARACINO, GIOVANNI
SPARACINO, GIOVANNI
Dipartimento di Ingegneria dell'Informazione - DEI
"Population" approaches improve parameter estimation of kinetic models from dynamic PET data.
2004 Bertoldo, Alessandra; Sparacino, Giovanni; Cobelli, Claudio
A Bayesian approach to estimate evoked potentials
2002 Sparacino, Giovanni; Milani, S; Arslan, Edoardo; Cobelli, Claudio
A Bayesian method to estimate single-trial event-related potentials with application to the study of the P300 variability
2011 D'Avanzo, Costanza; Schiff, Sami; Amodio, Piero; Sparacino, Giovanni
A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications from Administrative Claims
2021 Longato, E.; Fadini, G. P.; Sparacino, G.; Avogaro, A.; Tramontan, L.; Di Camillo, B.
A dynamic risk measure from continuous glucose monitoring data.
2011 Guerra, Stefania; Sparacino, Giovanni; Facchinetti, Andrea; Schiavon, Michele; DALLA MAN, Chiara; Cobelli, Claudio
A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials
2023 Vettoretti, Martina; Drecogna, Martina; Del Favero, Simone; Facchinetti, Andrea; Sparacino, Giovanni
A Model of Self-Monitoring Blood Glucose Measurement Error
2017 Vettoretti, Martina; Facchinetti, Andrea; Sparacino, Giovanni; Cobelli, Claudio
A multi-task learning approach for the extraction of single-trial evoked potentials
2013 D’Avanzo, C; Goljahani, Anahita; Pillonetto, Gianluigi; De Nicolao, G.; Sparacino, Giovanni
A neural network predicting the amplitude of the N2pc in individual EEG datasets
2021 Marturano, F.; Brigadoi, S.; Doro, M.; Dell'Acqua, R.; Sparacino, G.
A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring
2018 Cappon, Giacomo; Vettoretti, Martina; Marturano, Francesca; Facchinetti, Andrea; Sparacino, Giovanni
A new dynamic index of insulin sensitivity
2006 Pillonetto, Gianluigi; A., Caumo; Sparacino, Giovanni; Cobelli, Claudio
A new index to optimally design and compare continuous glucose monitoring glucose prediction algorithms
2011 Facchinetti, Andrea; Sparacino, Giovanni; Trifoglio, E; Cobelli, Claudio
A novel method for the determination of the EEG individual alpha frequency
2012 Goljahani, Anahita; D'Avanzo, Costanza; Schiff, Sami; Amodio, Piero; Bisiacchi, Patrizia; Sparacino, Giovanni
A Real-Time Continuous Glucose Monitoring Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic Events
2019 Camerlingo, Nunzio; Vettoretti, Martina; Del Favero, Simone; Cappon, Giacomo; Sparacino, Giovanni; Facchinetti, Andrea
A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements
2013 Scarpa, Fabio; Brigadoi, Sabrina; Cutini, Simone; Scatturin, Pietro; Zorzi, Marco; Dell'Acqua, Roberto; Sparacino, Giovanni
A stochastic deconvolution approach to reconstruct insulin secretion rate after a glucose stimulus
1996 Sparacino, Giovanni; Cobelli, Claudio
A tunable local field potentials computer simulator to assess minimal requirements for phase-amplitude cross-frequency-coupling estimation
2016 Rubega, Maria; Fontana, Roberto; Vassanelli, Stefano; Sparacino, Giovanni
A wavelet methodology for EEG time-frequency analysis in a time discrimination task
2009 Davanzo, C; Tarantino, Vincenza; Bisiacchi, Patrizia; Sparacino, Giovanni
A “Slide Rule” to Adjust Insulin Dose Using Trend Arrows in Adults with Type 1 Diabetes: Test in Silico and in Real Life
2021 Bruttomesso, D.; Boscari, F.; Lepore, G.; Noaro, G.; Cappon, G.; Girelli, A.; Bozzetto, L.; Tumminia, A.; Grassi, G.; Sparacino, G.; Laviola, L.; Facchinetti, A.
Accurate hemodynamic response estimation by removal of stimulus-evoked superficial response in fNIRS signals
2021 Galli, A.; Brigadoi, S.; Giorgi, G.; Sparacino, G.; Narduzzi, C.