| User verification based on mouse dynamics: a comparison of public data sets M Antal, L Denes-Fazakas 2019 IEEE 13th International Symposium on Applied Computational Intelligence …, 2019 | 18 | 2019 |
| Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data A Kőble, Á Győrfi, S Csaholczi, B Surányi, L Dénes-Fazakas, L Kovács, ... 2021 IEEE AFRICON, 1-6, 2021 | 11 | 2021 |
| Detection of physical activity using machine learning methods L Dénes-Fazakas, L Szilágyi, J Tasic, L Kovács, G Eigner 2020 IEEE 20th International Symposium on Computational Intelligence and …, 2020 | 6 | 2020 |
| Uninorm-like parametric activation functions for human-understandable neural models O Csiszár, LS Pusztaházi, L Dénes-Fazakas, MS Gashler, V Kreinovich, ... Knowledge-Based Systems 260, 110095, 2023 | 5 | 2023 |
| Control of type 1 diabetes mellitus using direct reinforcement learning based controller L Dénes-Fazakas, M Siket, G Kertész, L Szilágyi, L Kovács, G Eigner 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 3 | 2022 |
| Two-factor, continuous authentication framework for multi-site large enterprises L Déncs-Fazakas, E Kail, R Fleiner 2020 IEEE 20th International Symposium on Computational Intelligence and …, 2020 | 3 | 2020 |
| Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals L Dénes-Fazakas, M Siket, L Szilágyi, L Kovács, G Eigner Sensors 22 (21), 8568, 2022 | 2 | 2022 |
| Numba-accelerated parameter estimation for artificial pancreas applications M Siket, L Dénes-Fazakas, L Kovács, G Eigner 2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and …, 2022 | 2 | 2022 |
| Effect of hyperparameters of reinforcement learning in blood glucose control DF Lehel, M Siket, L Szilágyi, G Eigner, L Kovács 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023 | 1 | 2023 |
| Investigation of reward functions for controlling blood glucose level using reinforcement learning DF Lehel, M Siket, L Szilágyi, G Eigner, L Kovács 2023 IEEE 17th International Symposium on Applied Computational Intelligence …, 2023 | 1 | 2023 |
| Effect of spectral resolution on the segmentation quality of magnetic resonance imaging data Á Győrfi, S Csaholczi, IM Lukáts-Pisak, L Dénes-Fazakas, A Kőble, ... 2022 IEEE 26th International Conference on Intelligent Engineering Systems …, 2022 | 1 | 2022 |
| Segmentation of 6-month infant brain tissues from multi-spectral MRI records using a U-Net neural network architecture L Dénes-Fazakas, G Eigner, L Szilágyi 2022 IEEE 10th Jubilee International Conference on Computational Cybernetics …, 2022 | 1 | 2022 |
| PHYSICAL ACTIVITY DETECTION USING MACHINE INTELLIGENCE G Eigner, L Denes-Fazakas, L Szilágyi, M Siket, L Kovács DIABETES TECHNOLOGY & THERAPEUTICS 23, A102-A102, 2021 | 1 | 2021 |
| Using Resizing Layer in U-Net to Improve Memory Efficiency L Dénes-Fazakas, S Csaholczi, G Eigner, L Kovács, L Szilágyi International Conference on Dependability of Computer Systems, 38-48, 2024 | | 2024 |
| Advancing Medical Assistance: Developing an Effective Hungarian-Language Medical Chatbot with Artificial Intelligence B Simon, Á Hartveg, L Dénes-Fazakas, G Eigner, L Szilágyi Information 15 (6), 297, 2024 | | 2024 |
| Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks L Dénes-Fazakas, B Simon, Á Hartvég, L Kovács, ÉH Dulf, L Szilágyi, ... Sensors 24 (8), 2412, 2024 | | 2024 |
| Why Linear and Sigmoid Last Layers Work Better in Classification L Dénes-Fazakas, L Szilágyi, V Kreinovich | | 2024 |
| Challenges and Difficulties of Multi-Spectral MRI Based Brain Tumor Detection and Segmentation L Szilágyi, Á Györfi, L Dénes-Fazakas, S Csaholczi, IM Pisak-Lukáts, ... 2023 1st International Conference on Health Science and Technology (ICHST), 1-6, 2023 | | 2023 |
| Hogyan gondolkodik a mesterséges intelligencián a cukorbetegségről DF Lehel ISBN-6206795497, 2023 | | 2023 |
| Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation L Dénes-Fazakas, L Szilágyi, G Eigner, O Kosheleva, M Ceberio, ... 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 496-500, 2023 | | 2023 |
László SzilágyiSapientia Hungarian University of Transylvania, Óbuda University在 uni-obuda.hu 的电子邮件经过验证
