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Gergely Pap
Gergely Pap
Postdoctoral Researcher, Princess Margaret Cancer Research Tower - UHN
Verified email at inf.u-szeged.hu - Homepage
Title
Cited by
Cited by
Year
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
52019
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
42023
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
22021
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
22019
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
12021
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
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