Genetic Programming Bibliography entries for Tomas Koutny

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8110

GP coauthors/coeditors: Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, A Giugliano, Michal Krcma, Angelo Marcelli, Martin Ubl,

Genetic Programming Articles by Tomas Koutny

• I. De Falco and A. Della Cioppa and A. Giugliano and A. Marcelli and Tomas Koutny and Michal Krcma and Umberto Scafuri and E. Tarantino. A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives. Applied Soft Computing, 77:316-328, 2019. details

• Ivanoe De Falco and Antonio Della Cioppa and Tomas Koutny and Michal Krcma and Umberto Scafuri and Ernesto Tarantino. Genetic Programming-based induction of a glucose-dynamics model for telemedicine. Journal of Network and Computer Applications, 119:1-13, 2018. details

Genetic Programming conference papers by Tomas Koutny

• I. De Falco and Antonio Della Cioppa and Tomas Koutny and Umberto Scafuri and Ernesto Tarantino and Martin Ubl. Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models. In 2021 IEEE Symposium on Computers and Communications (ISCC), Athens, Greece, 2021. IEEE. details

• Ivanoe De Falco and Umberto Scafuri and Ernesto Tarantino and Antonio Della Cioppa and Tomas Koutny and Michal Krcma. A Grammatical Evolution Approach for Estimating Blood Glucose Levels. In 2020 IEEE Globecom Workshops (GC Wkshps), Taipei, Taiwan, 2020. IEEE. details

• I. De Falco and U. Scafuri and E. Tarantino and A. Della Cioppa and A. Giugliano and Tomas Koutny and Michal Krcma. An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives. In 2018 IEEE Symposium on Computers and Communications (ISCC), pages 01158-01163, 2018. details