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Odpovídající záznamy:
Datum vydáníNázevAutor
2019SmartCGMS as an Environment for an Insulin-Pump Development with FDA-Accepted In-Silico Pre-Clinical TrialsÚbl, Martin; Koutný, Tomáš
2019Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose LevelsKoutný, Tomáš; Úbl, Martin; Della Cioppa, Antonio; De Falco, Ivanoe; Tarantino, Ernesto; Umberto, Scafuri; Krčma, Michal
2019De–randomized Meta-Differential Evolution for Calculating and Predicting Glucose LevelsKoutný, Tomáš; Della Cioppa, Antonio; De Falco, Ivanoe; Tarantino, Ernesto; Scafuri, Umberto; Krčma, Michal
2018Parallel software architecture for the next generation of glucose monitoringKoutný, Tomáš; Úbl, Martin
2018An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivativesDe Falco, Ivanoe; Scafuri, umberto; Tarantino, Ernesto; Della Cioppa, Antonio; Giugliano, Angelo; Koutný, Tomáš; Krčma, Michal
2020Neural Multi-class Classification Approach to Blood Glucose Level Forecasting with Prediction Uncertainty VisualisationMayo, Michael; Koutný, Tomáš
2020SmartCGMS as a Testbed for a Blood-Glucose Level Prediction and/or Control Challenge with (an FDA-Accepted) Diabetic Patient SimulationKoutný, Tomáš; Úbl, Martin
2021Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics ModelsDe Falco, Ivanoe; Della Cioppa, Antonio; Koutný, Tomáš; Scafuri, Umberto; Tarantino, Ernesto; Úbl, Martin
2022An Evolution-based Machine Learning Approach for Inducing Glucose Prediction ModelsDe Falco, Ivanoe; Della Cioppa, Antonio; Koutný, Tomáš; Scafuri, Umberto; Tarantino, Ernesto; Úbl, Martin
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