Lehel Dénes-Fazakas

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Top Venues

Publications

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)
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)
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) (2024)
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) (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)
Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács
Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control. SMC (2023)
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 (2023)
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)
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)
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)
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)
Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, György Eigner
Numba-accelerated parameter estimation for artificial pancreas applications. SISY (2022)
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 (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)
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)