Lehel Dénes-Fazakas

According to our database, Lehel Dénes-Fazakas authored at least 18 papers between 2019 and 2024.

Collaborative distances:

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

2024

Advancing Medical Assistance: Developing an Effective Hungarian-Language Medical Chatbot with Artificial Intelligence.

Barbara Simon, Ádám Hartvég, Lehel Dénes-Fazakas, György Eigner, László Szilágyi

Inf., June, 2024

Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks.

Lehel Dénes-Fazakas, Barbara Simon, Ádám Hartvég, Levente Kovács, Eva-Henrietta Dulf, László Szilágyi, György Eigner

Sensors, April, 2024

Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor.

Lehel Dénes-Fazakas, Barbara Simon, Ádám Hartvég, László Szilágyi, Levente Kovács, Amir Mosavi, György Eigner

Comput. Biol. Medicine, 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

Review of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management.

Lehel Dénes-Fazakas, Gyozo Dénes Fazakas, György Eigner, Levente Kovács, László Szilágyi

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

2023

Uninorm-like parametric activation functions for human-understandable neural models.

Orsolya Csiszár, Luca Sára Pusztaházi, Lehel Dénes-Fazakas, Michael S. Gashler, Vladik Kreinovich, Gábor Csiszár

Knowl. Based Syst., 2023

Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation.

Lehel Dénes-Fazakas, László Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich

Proceedings of the IEEE Symposium Series on Computational Intelligence, 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

Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-Net Cascade Architecture.

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

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

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

Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes.

Marcell Szántó, Gergo Strasser, László Szász, Lehel Dénes-Fazakas, György Eigner, Gábor Kertész, Levente Kovács

Proceedings of the IEEE International Conference on Automation, 2022

2021

Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data.

Andrea Koble, Ágnes Gyorfi, Szabolcs Csaholczi, Béla Surányi, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi

Proceedings of the 2021 IEEE AFRICON, 2021

2019

User Verification Based on Mouse Dynamics: a Comparison of Public Data Sets.

Margit Antal, Lehel Dénes-Fazakas

Proceedings of the 13th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2019