| A reconstruction-free projection selection procedure for binary tomography using convolutional neural networks G Pap, G Lékó, T Grósz Image Analysis and Recognition: 16th International Conference, ICIAR 2019 …, 2019 | 5 | 2019 |
| Machine learning framework to segment sarcomeric structures in SMLM data D Varga, S Szikora, T Novák, G Pap, G Lékó, J Mihály, M Erdélyi Scientific Reports 13 (1), 1582, 2023 | 4 | 2023 |
| Transcription factor binding site detection using convolutional neural networks with a functional group-based data representation G Pap, G Zoltán, K Ádám, L Tóth, Z Hegedűs Journal of Physics: Conference Series 1824 (1), 012001, 2021 | 2 | 2021 |
| A Comparison of Supervised and Semi-supervised Training Algorithms of Restricted Boltzmann Machines on Biological Data G Pap, L Tóth 2019 IEEE 19th International Symposium on Computational Intelligence and …, 2019 | 2 | 2019 |
| Training models employing physico-chemical properties of DNA for protein binding site detection G Pap, K Ádám, Z Györgypál, L Tóth, Z Hegedűs 2021 International Conference on Applied Artificial Intelligence (ICAPAI), 1-5, 2021 | 1 | 2021 |
| Depthwise Convolutions using Physicochemical Features of DNA for Transcription Factor Binding Site Classification: Physicochemical Features for DNA-Protein Classification with … G Pap, K Adam, Z Gyorgypal, L Toth, Z Hegedus Proceedings of the 6th International Conference on Advances in Artificial …, 2022 | | 2022 |
| Translational Robustness of Neural Networks Trained for Transcription Factor Binding Site Classification. G Pap, I Megyeri ICAART (3), 39-45, 2022 | | 2022 |
| Semi-Supervised Training of Cell-Classifier Neural Networks G Pap, T Grósz, L Tóth THE 11TH CONFERENCE OF PHD STUDENTS IN COMPUTER SCIENCE, 84, 2018 | | 2018 |
