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Gábor Kertész

Researcher
Institute for Computer Science and Control
Széchenyi Plusz RRF
Gábor Kertész received his PhD in 2019 at the Doctoral School of Applied Informatics and Applied Mathematics of the Óbuda University. He is currently a research fellow at the Laboratory of Parallel and Distributed Systems of SZTAKI and a senior lecturer at the Neumann Faculty of Informatics of Óbuda University.

During his PhD research, he examined deep neural networks for object matching, and performed statistical and regression analysis in differemt topics. He is currently investigating the possibilities of distributed processing of deep neural networks.
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Selected publications

  • Kertész, G. (2020). Metric Embedding Learning on Multi-Directional Projections. Algorithms, 13(6), 133.
  • Kertész, G., Szénási, S., & Vámossy, Z. (2018). Multi-directional image projections with fixed resolution for object matching. Acta Polytechnica Hungarica, 15(2), 211-229.
  • Kertész, G., Szénási, S., & Vámossy, Z. Comparative Analysis of Image Projection-based Descriptors in Siamese Neural Networks. Advances in Engineering Software (under review)
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