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Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness., , , , , , and . Sensors, 13 (6): 7279-7295 (2013)The mathematical modeling of metabolic and endocrine systems : model formulation, identification, and validation, , and . J. Wiley, New York, (1983)A quantization method based on threshold optimization for microarray short time series., , , , , and . BMC bioinformatics, (Dec 1, 2005)Identification of the glucose minimal model by stochastic nonlinear-mixed effects methods., , and . EMBC, page 5482-5485. IEEE, (2012)WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems., , , , and . Comput. Methods Programs Biomed., 67 (1): 67-77 (2002)Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution., , , and . IEEE Trans. Biomed. Eng., 61 (4): 1044-1053 (2014)Advancing Our Understanding of the Glucose System via Modeling: A Perspective., , , , and . IEEE Trans. Biomed. Eng., 61 (5): 1577-1592 (2014)Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method., , and . IEEE Trans. Biomed. Eng., 48 (11): 1352-1354 (2001)Global identifiability of nonlinear models of biological systems., , , , and . IEEE Trans. Biomed. Eng., 48 (1): 55-65 (2001)Tracking the time course of reproduction number and lockdown's effect during SARS-CoV-2 epidemic: nonparametric estimation., , , and . CoRR, (2020)