Máté Siket

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Diabetes Mellitus

Top Venues

Publications

Miklós Nagy, Barbara Simon, László Szász, Máté Siket, Lehel Dénes-Fazakas, György Eigner, Patrik Péter Süli, Levente Kovács, László Szilágyi
Web Application Development for Diabetes Patients. SACI (2024)
Csaba Potyok, Barbara Simon, Ádám Hartvég, Máté Siket, Lehel Dénes-Fazakas, György Eigner, Milán Balázs, Levente Kovács, László Szilágyi
Mobile Application Development for Diabetes Patient. SACI (2024)
Kamilla Novák, Máté Siket, Levente Kovács, Dániel András Drexler, György Eigner
Impulsive Model Predictive Control in Type 1 Diabetes Mellitus Applications. SMC (2023)
Kamilla Novák, Máté Siket, Levente Kovács, Dániel András Drexler, Imre J. Rudas, György Eigner
Model Predictive Control with Dynamic Positive Input Extension for Artificial Pancreas Applications. SMC (2023)
Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács
Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control. SMC (2023)
Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács
Investigation of reward functions for controlling blood glucose level using reinforcement learning. SACI (2023)
Máté Siket, Rebeka Tóth, Imre J. Rudas, György Eigner, Levente Kovács
Parameter estimation of T1DM models with a particular focus on endogenous glucose production. SMC (2022)
Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, György Eigner
Numba-accelerated parameter estimation for artificial pancreas applications. SISY (2022)
Levente Kovács, Bence Czakó, Máté Siket, Tamás Ferenci, András Füredi, Balázs Gombos, Gergely Szakács, Dániel András Drexler
Experimental Closed-Loop Control of Breast Cancer in Mice. Complex. 2022 (2022)
Máté Siket, Kamilla Novák, Levente Kovács, György Eigner
Automatically estimated meals in Model Predictive Control-Moving Horizon Estimation control strategy. ASCC (2022)
Lehel Dénes-Fazakas, Máté Siket, Gábor Kertész, László Szilágyi, Levente Kovács, György Eigner
Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller. SMC (2022)
Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, Levente Kovács, György Eigner
Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals. Sensors 22 (21) (2022)
Iván Sala-Mira, Máté Siket, Levente Kovács, György Eigner, Jorge Bondia
Effect of Model, Observer and Their Interaction on State and Disturbance Estimation in Artificial Pancreas: An In-Silico Study. IEEE Access 9 (2021)
Máté Siket, György Eigner, Levente Kovács
Sensitivity and identifiability analysis of a third-order tumor growth model. SoSE (2020)
Ákos Zarándy, Péter Földesy, Ádám Nagy, Imre Jánoki, Dániel Terbe, Máté Siket, Miklós Szabó, Judit Varga
Multi-Level Optimization for Enabling Life Critical Visual Inspections of Infants in Resource Limited Environment. ISCAS (2020)
Levente Kovács, György Eigner, Máté Siket, László Barkai
Control of Diabetes Mellitus by Advanced Robust Control Solution. IEEE Access 7 (2019)
Levente Kovács, György Eigner, Bence Czakó, Máté Siket, József K. Tar
An opportunity of using Robust Fixed Point Transformation-based controller design in case of Type 1 Diabetes Mellitus. SA (2019)
Levente Kovács, Máté Siket, Imre J. Rudas, Anikó Szakál, György Eigner
Discrete LPV Based Parameter Estimation For TIDM Patients By Using Dual Extended Kalman Filtering Method. SMC (2019)
György Eigner, Máté Siket, Anikó Szakál, Imre J. Rudas, Levente Kovács
Discrete LPV Modeling of Diabetes Mellitus for Control Purposes. SMC (2018)