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ORCIDMáté Siket
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2020 – today
- 2024
[c18]Mohammad Ahmadasas, Mudassir M. Rashid, Mahmoud M. Abdel-Latif, Andrew Shahidehpour, Máté Siket, Ali Cinar:
Detecting and Mitigating Psychological Stress Effects on Glycemia in Type 1 Diabetes. BSN 2024: 1-4- [c17]Máté Siket, Mahmoud Abdel-Latif, Mudassir M. Rashid, Min-Sun Park, Ulf Bronas, Lisa Sharp, Laurie Quinn, Ali Cinar:
Effects of Physical and Psychological Stress Inducement and Combined Activities on Glycemia. BSN 2024: 1-4 - [c16]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: 559-564 - [c15]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: 573-580 - [c14]Barbara Simon, Ádám Hartvég, Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi, Gábor Kertész, György Eigner:
Enhancing Diabetes Management Through GRU Analysis of Physical Activity Effects. SISY 2024: 27-32 - 2023
- [c13]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: 387-392 - [c12]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: 1313-1319 - [c11]Kamilla Novák, Máté Siket, Levente Kovács, Dániel András Drexler, György Eigner:
Impulsive Model Predictive Control in Type 1 Diabetes Mellitus Applications. SMC 2023: 1320-1326 - [c10]Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács:
Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control. SMC 2023: 1333-1340 - 2022
- [j4]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: 9348166:1-9348166:10 (2022) - [j3]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): 8568 (2022) - [c9]Máté Siket, Kamilla Novák, Levente Kovács, György Eigner:
Automatically estimated meals in Model Predictive Control-Moving Horizon Estimation control strategy. ASCC 2022: 1367-1372 - [c8]Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, György Eigner:
Numba-accelerated parameter estimation for artificial pancreas applications. SISY 2022: 279-284 - [c7]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: 1512-1517 - [c6]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: 1891-1896 - 2021
- [j2]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: 143549-143563 (2021) - 2020
- [c5]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: 1-5 - [c4]Máté Siket, György Eigner, Levente Kovács:
Sensitivity and identifiability analysis of a third-order tumor growth model. SoSE 2020: 417-422
2010 – 2019
- 2019
- [j1]Levente Kovács, György Eigner, Máté Siket, László Barkai:
Control of Diabetes Mellitus by Advanced Robust Control Solution. IEEE Access 7: 125609-125622 (2019) - [c3]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: 1-7 - [c2]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: 1390-1395 - 2018
- [c1]György Eigner, Máté Siket, Anikó Szakál, Imre J. Rudas, Levente Kovács:
Discrete LPV Modeling of Diabetes Mellitus for Control Purposes. SMC 2018: 2558-2563
Coauthor Index
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