KOUTNY, TOMAS
KOUTNY, TOMAS
Dipartimento di Ingegneria dell'Informazione ed Elettrica e Matematica applicata/DIEM
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction
2023-01-01 De Falco, Ivanoe; Della Cioppa, Antonio; Koutny, Tomas; Ubl, Martin; Krcma, Michal; Scafuri, Umberto; Tarantino, Ernesto
A Grammatical Evolution Approach for Estimating Blood Glucose Levels
2020-01-01 Falco, I. D.; Scafuri, U.; Tarantino, E.; Della Cioppa, A.; Koutny, T.; Krcma, M.
Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels
2019-01-01 Koutny, T.; Ubl, M.; De Falco, I.; Tarantino, E.; Scafuri, U.; Della Cioppa, A.; Krcma, M.
Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment
2022-01-01 Ubl, Martin; Koutny, Tomas; Della Cioppa, Antonio; De Falco, Ivanoe; Tarantino, Ernesto; Scafuri, Umberto
Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models
2021-01-01 De Falco, I.; Della Cioppa, A.; Koutny, T.; Scafuri, U.; Tarantino, E.; Ubl, M.
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine
2024-01-01 De Falco, I.; Della Cioppa, A.; Koutny, T.; Scafuri, U.; Tarantino, E.
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes
2023-01-01 Della Cioppa, A.; De Falco, I.; Koutny, T.; Scafuri, U.; Ubl, M.; Tarantino, E.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction | 1-gen-2023 | De Falco, Ivanoe; Della Cioppa, Antonio; Koutny, Tomas; Ubl, Martin; Krcma, Michal; Scafuri, Umberto; Tarantino, Ernesto | |
A Grammatical Evolution Approach for Estimating Blood Glucose Levels | 1-gen-2020 | Falco, I. D.; Scafuri, U.; Tarantino, E.; Della Cioppa, A.; Koutny, T.; Krcma, M. | |
Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels | 1-gen-2019 | Koutny, T.; Ubl, M.; De Falco, I.; Tarantino, E.; Scafuri, U.; Della Cioppa, A.; Krcma, M. | |
Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment | 1-gen-2022 | Ubl, Martin; Koutny, Tomas; Della Cioppa, Antonio; De Falco, Ivanoe; Tarantino, Ernesto; Scafuri, Umberto | |
Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models | 1-gen-2021 | De Falco, I.; Della Cioppa, A.; Koutny, T.; Scafuri, U.; Tarantino, E.; Ubl, M. | |
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine | 1-gen-2024 | De Falco, I.; Della Cioppa, A.; Koutny, T.; Scafuri, U.; Tarantino, E. | |
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes | 1-gen-2023 | Della Cioppa, A.; De Falco, I.; Koutny, T.; Scafuri, U.; Ubl, M.; Tarantino, E. |