| Parallel and distributed training of deep neural networks: A brief overview A Farkas, G Kertész, R Lovas 2020 IEEE 24th International Conference on Intelligent Engineering Systems …, 2020 | 25 | 2020 |
| Statistical accident analysis supporting the control of autonomous vehicles S Szénási, G Kertész, I Felde, L Nádai Journal of Computational Methods in Sciences and Engineering 21 (1), 85-97, 2021 | 23 | 2021 |
| Multi-directional image projections with fixed resolution for object matching G Kertész, S Szénási, Z Vámossy Acta Polytechnica Hungarica 15 (2), 211-229, 2018 | 17 | 2018 |
| Performance measurement of a general multi-scale template matching method G Kertész, S Szénási, Z Vámossy 2015 IEEE 19th International Conference on Intelligent Engineering Systems …, 2015 | 16 | 2015 |
| Parallelization methods of the template matching method on graphics accelerators G Kertész, S Szénási, Z Vámossy 2015 16th IEEE International Symposium on Computational Intelligence and …, 2015 | 12 | 2015 |
| Comparative analysis of image projection-based descriptors in Siamese neural networks G Kertész, S Szénási, Z Vámossy Advances in engineering software 154, 102963, 2021 | 11 | 2021 |
| Application and properties of the Radon transform for object image matching G Kertész, S Szénási, Z Vámossy 2017 IEEE 15th International Symposium on Applied Machine Intelligence and …, 2017 | 11 | 2017 |
| Different triplet sampling techniques for lossless triplet loss on metric similarity learning G Kertész 2021 IEEE 19th World Symposium on Applied Machine Intelligence and …, 2021 | 10 | 2021 |
| Current challenges in multi-view computer vision G Kertész, Z Vámossy 2015 IEEE 10th Jubilee International Symposium on Applied Computational …, 2015 | 10 | 2015 |
| 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 | 9 | 2022 |
| The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review Z Zrubka, G Kertész, L Gulácsi, J Czere, Á Hölgyesi, HM Nezhad, ... Journal of Medical Internet Research 26, e47430, 2024 | 6 | 2024 |
| One-shot re-identification using image projections in deep triplet convolutional network G Kertész, I Felde 2020 IEEE 15th International Conference of System of Systems Engineering …, 2020 | 6 | 2020 |
| Distributed training and evaluation of projection-based descriptors in Siamese Neural Networks K Gábor, S Sándor, V Zoltán Proceedings of the Sixth International Conference on Parallel, Distributed …, 2019 | 6* | 2019 |
| Comparison of Road Accident Black Spot Searching Methods S Sándor, F Imre, K Gábor, N László IEEE 18th International Symposium on Computational Intelligence and …, 2018 | 6 | 2018 |
| A novel method for robust multi-directional image projection computation G Kertész, S Szénási, Z Vamossy 2016 IEEE 20th Jubilee International Conference on Intelligent Engineering …, 2016 | 6 | 2016 |
| Metric Embedding Learning on Multi-Directional Projections G Kertész Algorithms 13 (6), 133, 2020 | 5 | 2020 |
| Road Accident Black Spot Localisation using Morphological Image Processing Methods on Heatmap S Sándor, F Imre, K Gábor, N László IEEE 18th International Symposium on Computational Intelligence and …, 2018 | 5 | 2018 |
| Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes M Szántó, G Strasser, L Szász, L Dénes-Fazakas, G Eigner, G Kertész, ... 2022 IEEE International Conference on Automation, Quality and Testing …, 2022 | 4 | 2022 |
| Comparison of Accident Black Spot Identification Methods based on GPS Coordinates S Szénási, I Felde, G Kertész 2020 IEEE 20th International Symposium on Computational Intelligence and …, 2020 | 4 | 2020 |
| Multiprocessing of an individual-cell based model for parameter testing G Kertesz, D Kiss, A Lovrics, S Szénási, Z Vámossy 2016 IEEE 11th International Symposium on Applied Computational Intelligence …, 2016 | 4 | 2016 |
Sandor SzenasiÓbuda UniversityVerified email at nik.uni-obuda.hu
