| Sa-unet: Spatial attention u-net for retinal vessel segmentation C Guo, M Szemenyei, Y Yi, W Wang, B Chen, C Fan 2020 25th international conference on pattern recognition (ICPR), 1236-1242, 2021 | 328 | 2021 |
| SD-UNet: A structured dropout U-Net for retinal vessel segmentation C Guo, M Szemenyei, Y Pei, Y Yi, W Zhou 2019 IEEE 19th international conference on bioinformatics and bioengineering …, 2019 | 90 | 2019 |
| Channel attention residual u-net for retinal vessel segmentation C Guo, M Szemenyei, Y Hu, W Wang, W Zhou, Y Yi ICASSP 2021-2021 IEEE international conference on acoustics, speech and …, 2021 | 58 | 2021 |
| Dense residual network for retinal vessel segmentation C Guo, M Szemenyei, Y Yi, Y Xue, W Zhou, Y Li ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 28 | 2020 |
| Residual spatial attention network for retinal vessel segmentation C Guo, M Szemenyei, Y Yi, W Zhou, H Bian International Conference on Neural Information Processing, 509-519, 2020 | 26 | 2020 |
| Attention-based curiosity-driven exploration in deep reinforcement learning P Reizinger, M Szemenyei ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 25 | 2020 |
| ROBO: Robust, Fully Neural Object Detection for Robot Soccer M Szemenyei, V Estivill-Castro RoboCup Symposium, 2019 | 15 | 2019 |
| Real-time scene understanding using deep neural networks for RoboCup SPL M Szemenyei, V Estivill-Castro RoboCup 2018: Robot World Cup XXII 22, 96-108, 2019 | 14 | 2019 |
| Fully neural object detection solutions for robot soccer M Szemenyei, V Estivill-Castro Neural Computing and Applications 34 (24), 21419-21432, 2022 | 13 | 2022 |
| Attention-based curiosity in multi-agent reinforcement learning environments M Szemenyei, P Reizinger 2019 International Conference on Control, Artificial Intelligence, Robotics …, 2019 | 10 | 2019 |
| 3d object detection and scene optimization for tangible augmented reality M Szemenyei, F Vajda Periodica Polytechnica Electrical Engineering and Computer Science 62 (2), 25-37, 2018 | 8 | 2018 |
| Dimension reduction for objects composed of vector sets M Szemenyei, F Vajda International Journal of Applied Mathematics and Computer Science 27 (1 …, 2017 | 6 | 2017 |
| Learning 3D object recognition using graphs based on primitive shapes M Szemenyei, F Vajda Workshop on the Advances of Information Technology, Budapest, Hungary, 187-195, 2015 | 6 | 2015 |
| Data augmentation powered by generative adversarial networks KB Póka, M Szemenyei 2020 23rd International Symposium on Measurement and Control in Robotics …, 2020 | 5 | 2020 |
| Dimension Reduction for Structured Composite Classes in Multi-Object Environments M Szemenyei, F Vajda 15th International Conference on Artificial Intelligence, Knowledge …, 2016 | 4 | 2016 |
| Designing an embedded feature selection algorithm for a drowsiness detector model based on electroencephalogram data B Bencsik, I Reményi, M Szemenyei, J Botzheim Sensors 23 (4), 1874, 2023 | 3 | 2023 |
| Simulation to real domain adaptation for lane segmentation M Tim, M Szemenyei, R Moni 2020 23rd International Symposium on Measurement and Control in Robotics …, 2020 | 2 | 2020 |
| Innovative ICT Applications to Increase Social Acceptance of Transport Investments T Princz-Jakovics, M Szemenyei European Journal of Sustainable Development 12 (4), 183-183, 2023 | 1 | 2023 |
| Occlusion Avoidance in a Simulated Environment Using Reinforcement Learning M Szemenyei, M Szántó Applied Sciences 13 (5), 3090, 2023 | 1 | 2023 |
| Efficient Neural Network Pruning Using Model-Based Reinforcement Learning B Bencsik, M Szemenyei 2022 International Symposium on Measurement and Control in Robotics (ISMCR), 1-8, 2022 | 1 | 2022 |
