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Gabor Kertesz
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2020 – today
- 2024
- [j7]Zhyar Rzgar K. Rostam, Sándor Szénási, Gábor Kertész:
Achieving Peak Performance for Large Language Models: A Systematic Review. IEEE Access 12: 96017-96050 (2024) - [c10]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 - [i1]Zhyar Rzgar K. Rostam, Sándor Szénási, Gábor Kertész:
Achieving Peak Performance for Large Language Models: A Systematic Review. CoRR abs/2409.04833 (2024) - 2023
- [c9]Gréta Gonda, Gábor Kertész:
Birth time prediction based on uterus-activity using machine learning. SACI 2023: 461-466 - 2022
- [j6]Márton György Almásy, András Hörömpo, Dániel Kiss, Gábor Kertész:
A review on modeling tumor dynamics and agent reward functions in reinforcement learning based therapy optimization. J. Intell. Fuzzy Syst. 43(6): 6939-6946 (2022) - [j5]Gábor Kertész:
Deep Metric Learning Using Negative Sampling Probability Annealing. Sensors 22(19): 7579 (2022) - [c8]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 - [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 - 2021
- [j4]Gábor Kertész, Sándor Szénási, Zoltán Vámossy:
Comparative analysis of image projection-based descriptors in Siamese neural networks. Adv. Eng. Softw. 154: 102963 (2021) - [j3]Sándor Szénási, Gábor Kertész, Imre Felde, László Nádai:
Statistical accident analysis supporting the control of autonomous vehicles. J. Comput. Methods Sci. Eng. 21(1): 85-97 (2021) - [c6]Levente Kovács, Gábor Kertész:
Hungarian Traffic Sign Detection and Classification using Semi-Supervised Learning. SACI 2021: 437-442 - 2020
- [j2]Gábor Kertész:
Metric Embedding Learning on Multi-Directional Projections. Algorithms 13(6): 133 (2020) - [j1]Sándor Szénási, Gábor Kertész:
Special Issue on Bio-Inspired Algorithms for Image Processing. Algorithms 13(12): 320 (2020) - [c5]Gábor Kertész, Imre Felde:
One-Shot Re-identification using Image Projections in Deep Triplet Convolutional Network. SoSE 2020: 597-602
2010 – 2019
- 2019
- [b1]Gábor Kertész:
Multi-Directional Image Projections with Fixed Resolution for Object Recognition and Matching. Óbuda University, Hungary, 2019 - [c4]Gábor Kertész, Sándor Szénási, Zoltán Vámossy:
Multi-Directional Projection Transformations for Machine Learning based Object Matching. SACI 2019: 269-274 - 2018
- [c3]Gabor Kertesz, Sándor Szénási, Zoltan Vamossy:
Vehicle Image Matching Using Siamese Neural Networks with Multi-Directional Image Projections. SACI 2018: 1-5 - 2016
- [c2]Gabor Kertesz, Dániel Kiss, Anna Lovrics, Sándor Szénási, Zoltan Vamossy:
Multiprocessing of an individual-cell based model for parameter testing. SACI 2016: 491-496 - 2015
- [c1]Gabor Kertesz, Zoltan Vamossy:
Current challenges in multi-view computer vision. SACI 2015: 237-241
Coauthor Index
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last updated on 2024-11-27 20:33 CET by the dblp team
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