Szerző: " Pap Gergely"

Varga Dániel; Szikora Szilárd; Novák Tibor; Pap Gergely; Lékó Gábor; Mihály József; Erdélyi Miklós: Machine learning framework to segment sarcomeric structures in SMLM data.
SCIENTIFIC REPORTS, 13 (1). ISSN 2045-2322 (2023)

Pap Gergely; Ádám Krisztián; Györgypál Zoltán; Tóth László; Hegedűs Zoltán: Depthwise Convolutions using Physicochemical Features of DNA for Transcription Factor Binding Site Classification : Physicochemical Features for DNA-Protein Classification with Depthwise Convolutions.
In: ICAAI '22: Proceedings of the 6th International Conference on Advances in Artificial Intelligence. ACM, New York, pp. 15-21. (2022) ISBN 9781450396943

Pap Gergely; Ádám Krisztián; Györgypál Zoltán; Tóth László; Hegedűs Zoltán: Training models employing physico-chemical properties of DNA for protein binding site detection.
In: 2021 International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, pp. 73-77. (2021) ISBN 9781728159348

Pap Gergely; Györgypál Zoltán; Ádám Krisztián; Tóth László; Hegedűs Zoltán: Transcription factor binding site detection using convolutional neural networks with a functional group-based data representation.
JOURNAL OF PHYSICS-CONFERENCE SERIES, 1824 (1). Terjedelem: 6 p-Azonosító: 012001. ISSN 1742-6588 (2021)

Pap Gergely; Tóth László: A Comparison of Supervised and Semi-supervised Training Algorithms of Restricted Boltzmann Machines on Biological Data.
In: 2019 IEEE 19th International Symposium on Computational Intelligence and Informatics and 7th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics (CINTI-MACRo). IEEE, 000023-000028. (2019) ISBN 9781728156255

Pap Gergely; Lékó Gábor; Grósz Tamás: A Reconstruction-Free Projection Selection Procedure for Binary Tomography Using Convolutional Neural Networks.
In: Image Analysis and Recognition. Springer International Publishing, pp. 228-236. (2019) ISBN 9783030272029; 9783030272012