0556734 - ÚI 2023 RIV US eng C - Conference Paper (international conference)
Orjuela-Cañón, A. D. - Figueroa-Garcia, J.C. - Neruda, RomanAutomated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations.
Proceedings of 20th IEEE International Conference on Machine Learning and Applications ICMLA 2021. Piscataway: IEEE, 2021 - (Wani, M.; Sethi, I.; Shi, W.; Qu, G.; Raicu, D.; Jin, R.), s. 1341-1344. ISBN 978-1-6654-4338-8.
[ICMLA 2021: IEEE International Conference on Machine Learning and Applications /20./. Pasadena / Virtual (US), 13.12.2021-16.12.2021]
Institutional support: RVO:67985807
Keywords : automatic machine learning * protein sequence * neurofibromatosis * amino-acids
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://dx.doi.org/10.1109/ICMLA52953.2021.00217
Permanent Link: http://hdl.handle.net/11104/0330895
