Máté Siket

According to our database, Máté Siket authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Enhancing Diabetes Management Through GRU Analysis of Physical Activity Effects.

Barbara Simon, Ádám Hartvég, Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi, Gábor Kertész, György Eigner

Proceedings of the 22nd IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2024

Mobile Application Development for Diabetes Patient.

Csaba Potyok, Barbara Simon, Ádám Hartvég, Máté Siket, Lehel Dénes-Fazakas, György Eigner, Milán Balázs, Levente Kovács, László Szilágyi

Proceedings of the 18th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2024

Web Application Development for Diabetes Patients.

Miklós Nagy, Barbara Simon, László Szász, Máté Siket, Lehel Dénes-Fazakas, György Eigner, Patrik Péter Süli, Levente Kovács, László Szilágyi

Proceedings of the 18th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2024

2023

Model Predictive Control with Dynamic Positive Input Extension for Artificial Pancreas Applications.

Kamilla Novák, Máté Siket, Levente Kovács, Dániel András Drexler, Imre J. Rudas, György Eigner

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Impulsive Model Predictive Control in Type 1 Diabetes Mellitus Applications.

Kamilla Novák, Máté Siket, Levente Kovács, Dániel András Drexler, György Eigner

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control.

Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Investigation of reward functions for controlling blood glucose level using reinforcement learning.

Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács

Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023

2022

Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals.

Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, Levente Kovács, György Eigner

Sensors, 2022

Experimental Closed-Loop Control of Breast Cancer in Mice.

Levente Kovács, Bence Czakó, Máté Siket, Tamás Ferenci, András Füredi, Balázs Gombos, Gergely Szakács, Dániel András Drexler

Complex., 2022

Parameter estimation of T1DM models with a particular focus on endogenous glucose production.

Máté Siket, Rebeka Tóth, Imre J. Rudas, György Eigner, Levente Kovács

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller.

Lehel Dénes-Fazakas, Máté Siket, Gábor Kertész, László Szilágyi, Levente Kovács, György Eigner

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Numba-accelerated parameter estimation for artificial pancreas applications.

Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, György Eigner

Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Automatically estimated meals in Model Predictive Control-Moving Horizon Estimation control strategy.

Máté Siket, Kamilla Novák, Levente Kovács, György Eigner

Proceedings of the 13th Asian Control Conference, 2022

2021

Effect of Model, Observer and Their Interaction on State and Disturbance Estimation in Artificial Pancreas: An In-Silico Study.

Iván Sala-Mira, Máté Siket, Levente Kovács, György Eigner, Jorge Bondia

IEEE Access, 2021

2020

Sensitivity and identifiability analysis of a third-order tumor growth model.

Máté Siket, György Eigner, Levente Kovács

Proceedings of the 15th IEEE International Conference of System of Systems Engineering, 2020

Multi-Level Optimization for Enabling Life Critical Visual Inspections of Infants in Resource Limited Environment.

Ákos Zarándy, Péter Földesy, Ádám Nagy, Imre Jánoki, Dániel Terbe, Máté Siket, Miklós Szabó, Judit Varga

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Control of Diabetes Mellitus by Advanced Robust Control Solution.

Levente Kovács, György Eigner, Máté Siket, László Barkai

IEEE Access, 2019

Discrete LPV Based Parameter Estimation For TIDM Patients By Using Dual Extended Kalman Filtering Method.

Levente Kovács, Máté Siket, Imre J. Rudas, Anikó Szakál, György Eigner

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

An opportunity of using Robust Fixed Point Transformation-based controller design in case of Type 1 Diabetes Mellitus.

Levente Kovács, György Eigner, Bence Czakó, Máté Siket, József K. Tar

Proceedings of the First International Conference on Societal Automation, 2019

2018

Discrete LPV Modeling of Diabetes Mellitus for Control Purposes.

György Eigner, Máté Siket, Anikó Szakál, Imre J. Rudas, Levente Kovács

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018