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Tomas Koutny
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2020 – today
- 2024
- [j11]Ivanoe De Falco
, Antonio Della Cioppa
, Tomas Koutny, Umberto Scafuri
, Ernesto Tarantino:
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine. Biomed. Signal Process. Control. 87(Part B): 105416 (2024) - 2023
- [j10]Antonio Della Cioppa, Ivan De Falco, Tomas Koutny, Umberto Scafuri
, Martin Ubl, Ernesto Tarantino:
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes. Appl. Soft Comput. 134: 110012 (2023) - [j9]Ivanoe De Falco
, Antonio Della Cioppa
, Tomas Koutny
, Martin Ubl
, Michal Krcma
, Umberto Scafuri
, Ernesto Tarantino:
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction. Sensors 23(6): 2957 (2023) - 2022
- [j8]Tomas Koutny, Michael Mayo:
Predicting glucose level with an adapted branch predictor. Comput. Biol. Medicine 145: 105388 (2022) - [j7]Martin Ubl
, Tomas Koutny
, Antonio Della Cioppa
, Ivanoe De Falco
, Ernesto Tarantino, Umberto Scafuri
:
Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment. Sensors 22(23): 9445 (2022) - [c19]Martin Ubl, Tomas Koutny:
A Novel Approach to Multi-Compartmental Model Implementation to Achieve Metabolic Model Identifiability on Patient's CGM Data. EUSPN/ICTH 2022: 116-123 - [c18]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Umberto Scafuri
, Ernesto Tarantino, Martin Ubl:
An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models. ISCC 2022: 1-6 - 2021
- [c17]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Umberto Scafuri
, Ernesto Tarantino, Martin Ubl
:
Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models. ISCC 2021: 1-6 - 2020
- [c16]Michael Mayo, Tomas Koutny:
Neural Multi-class Classification Approach to Blood Glucose Level Forecasting with Prediction Uncertainty Visualisation. KDH@ECAI 2020: 80-84 - [c15]Tomas Koutny, Martin Ubl
:
SmartCGMS as a Testbed for a Blood-Glucose Level Prediction and/or Control Challenge with (an FDA-Accepted) Diabetic Patient Simulation. EUSPN/ICTH 2020: 354-362 - [c14]Ivanoe De Falco, Umberto Scafuri
, Ernesto Tarantino, Antonio Della Cioppa, Tomas Koutny, Michal Krcma:
A Grammatical Evolution Approach for Estimating Blood Glucose Levels. GLOBECOM (Workshops) 2020: 1-6
2010 – 2019
- 2019
- [j6]Ivanoe De Falco, Antonio Della Cioppa
, A. Giugliano, Angelo Marcelli
, Tomas Koutny, Michal Krcma
, Umberto Scafuri
, Ernesto Tarantino:
A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives. Appl. Soft Comput. 77: 316-328 (2019) - [c13]Tomas Koutny, Antonio Della Cioppa, Ivanoe De Falco, Ernesto Tarantino, Umberto Scafuri
, Michal Krcma:
De-randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels. CBMS 2019: 269-274 - [c12]Martin Ubl
, Tomas Koutny:
SmartCGMS as an Environment for an Insulin-Pump Development with FDA-Accepted In-Silico Pre-Clinical Trials. EUSPN/ICTH 2019: 322-329 - [c11]Tomas Koutny, Martin Ubl
, Ivan De Falco, Ernesto Tarantino, Umberto Scafuri
, Antonio Della Cioppa, Michal Krcma:
Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels. ISCC 2019: 1056-1061 - 2018
- [j5]Ivanoe De Falco, Antonio Della Cioppa
, Tomas Koutny, Michal Krcma
, Umberto Scafuri
, Ernesto Tarantino:
Genetic Programming-based induction of a glucose-dynamics model for telemedicine. J. Netw. Comput. Appl. 119: 1-13 (2018) - [c10]Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino:
An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements. HEALTHINF 2018: 625-632 - [c9]Tomas Koutny, Martin Ubl
:
Parallel software architecture for the next generation of glucose monitoring. EUSPN/ICTH 2018: 279-286 - [c8]Ivanoe De Falco, Umberto Scafuri
, Ernesto Tarantino, Antonio Della Cioppa
, A. Giugliano, Tomas Koutny, Michal Krcma
:
An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives. ISCC 2018: 1158-1163 - 2017
- [c7]Tomas Koutny:
Modelling of Glucose Dynamics for Diabetes. IWBBIO (1) 2017: 314-324 - 2016
- [j4]Tomas Koutny
:
Using meta-differential evolution to enhance a calculation of a continuous blood glucose level. Comput. Methods Programs Biomed. 133: 45-54 (2016) - [c6]Tomas Koutny
, Michal Krcma
, Josef Kohout
, Petr Jezek
, Jana Varnusková, Petr Vcelak
, Jan Strnadek:
On-line Blood Glucose Level Calculation. EUSPN/ICTH 2016: 228-235 - [c5]Jan Strnadek, Tomas Koutny, Josef Kohout
:
Introducing the effect of aging into the Honey Bee Mating Optimization to determine parameters for blood glucose level calculation. HSI 2016: 96-102 - 2014
- [j3]Tomas Koutny
:
Blood glucose level reconstruction as a function of transcapillary glucose transport. Comput. Biol. Medicine 53: 171-178 (2014) - [c4]Tomas Koutny:
Experience with Lamport Clock Ordered Events with Intel Threading Building Blocks in a Glucose-Level Prediction Software. IWBBIO 2014: 515-526 - 2013
- [j2]Tomas Koutny
:
Glucose predictability, blood capillary permeability, and glucose utilization rate in subcutaneous, skeletal muscle, and visceral fat tissues. Comput. Biol. Medicine 43(11): 1680-1686 (2013) - 2012
- [j1]Tomas Koutny
:
Prediction of Interstitial Glucose Level. IEEE Trans. Inf. Technol. Biomed. 16(1): 136-142 (2012)
2000 – 2009
- 2005
- [c3]Tomas Koutny, Jirí Safarík:
Maintaining Communication Channels for Migrating Processes in the Environment of Active Networks. Parallel and Distributed Computing and Networks 2005: 100-105 - 2004
- [c2]Tomas Koutny, Jirí Safarík:
Gradient Method with Topology Discovery for Load-Balancing in Active Networks. ECBS 2004: 75-85
1990 – 1999
- 1997
- [c1]Václav Snásel, Tomas Koutny:
Algebra of Pattern Matching Problems. Stringology 1997: 61-68
Coauthor Index
aka: Ivan De Falco
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last updated on 2024-08-05 20:24 CEST by the dblp team
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