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ORCIDLehel Dénes-Fazakas
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2020 – today
- 2024
[j5]Lehel Dénes-Fazakas
, Barbara Simon, Ádám Hartvég, László Szilágyi, Levente Kovács, Amir Mosavi, György Eigner:
Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor. Comput. Biol. Medicine 182: 109167 (2024)- [j4]Barbara Simon, Ádám Hartvég, Lehel Dénes-Fazakas, György Eigner, László Szilágyi:
Advancing Medical Assistance: Developing an Effective Hungarian-Language Medical Chatbot with Artificial Intelligence. Inf. 15(6): 297 (2024) - [j3]Lehel Dénes-Fazakas, Barbara Simon, Ádám Hartvég, Levente Kovács, Eva-Henrietta Dulf, László Szilágyi, György Eigner:
Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks. Sensors 24(8): 2412 (2024) - [c12]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 - [c11]Lehel Dénes-Fazakas, Gyozo Dénes Fazakas, György Eigner, Levente Kovács, László Szilágyi:
Review of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management. SACI 2024: 565-572 - [c10]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 - 2023
- [j2]Orsolya Csiszár, Luca Sára Pusztaházi, Lehel Dénes-Fazakas, Michael S. Gashler, Vladik Kreinovich, Gábor Csiszár:
Uninorm-like parametric activation functions for human-understandable neural models. Knowl. Based Syst. 260: 110095 (2023) - [c9]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 - [c8]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 - [c7]Lehel Dénes-Fazakas, Levente Kovács, György Eigner, László Szilágyi:
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-Net Cascade Architecture. SMC 2023: 3003-3008 - [c6]Lehel Dénes-Fazakas, László Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. SSCI 2023: 496-500 - 2022
- [j1]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) - [c5]Marcell Szántó, Gergo Strasser, László Szász, Lehel Dénes-Fazakas, György Eigner, Gábor Kertész, Levente Kovács:
Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes. AQTR 2022: 1-5 - [c4]Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, György Eigner:
Numba-accelerated parameter estimation for artificial pancreas applications. SISY 2022: 279-284 - [c3]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 - [i1]Orsolya Csiszár, Luca Sára Pusztaházi, Lehel Dénes-Fazakas, Michael S. Gashler, Vladik Kreinovich, Gábor Csiszár:
Uninorm-like parametric activation functions for human-understandable neural models. CoRR abs/2205.06547 (2022) - 2021
- [c2]Andrea Koble, Ágnes Gyorfi, Szabolcs Csaholczi, Béla Surányi, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi:
Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data. AFRICON 2021: 1-6
2010 – 2019
- 2019
- [c1]Margit Antal, Lehel Dénes-Fazakas:
User Verification Based on Mouse Dynamics: a Comparison of Public Data Sets. SACI 2019: 143-148
Coauthor Index
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