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Datum vydáníNázevAutor
2019A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their derivativesDe Falco, Ivanoe; Della Cioppa, Antonio; Giugliano, Angelo; Marcelli, Angelo; Koutný, Tomáš; Krčma, Michal; Scafuri, Umberto; Tarantino, Ernesto
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
2022Physiological reconstruction of blood glucose level using CGMS-signals onlyKoutný, Tomáš
2022Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes TreatmentÚbl, Martin; Koutný, Tomáš; Della Cioppa, Antonio; De Falco, Ivanoe; Tarantino, Ernesto; Scafuri, Umberto
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