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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
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
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
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
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
2023A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose PredictionDe Falco, Ivanoe; Della Cioppa, Antonio; Koutný, Tomáš; Úbl, Martin; Krčma, Michal; Scafuri, Umberto; Tarantino, Ernesto
2023Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetesDella Cioppa, Antonio; De Falco, Ivanoe; Koutný, Tomáš; Scafuri, Umberto; Úbl, Martin; Tarantino, Ernesto
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