Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, BANCO DE DADOS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), TECNOLOGIAS DA SAÚDE, PROGNÓSTICO
ABNT
FLOREZ, Alexander Ylnner Choquenaira et al. Augmentation techniques for sequential clinical data to improve deep learning prediction techniques. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/CBMS49503.2020.00118. Acesso em: 20 ago. 2024.APA
Florez, A. Y. C., Scabora, L. de C., Amer-Yahia, S., & Rodrigues Junior, J. F. (2020). Augmentation techniques for sequential clinical data to improve deep learning prediction techniques. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS49503.2020.00118NLM
Florez AYC, Scabora L de C, Amer-Yahia S, Rodrigues Junior JF. Augmentation techniques for sequential clinical data to improve deep learning prediction techniques [Internet]. Proceedings. 2020 ;[citado 2024 ago. 20 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00118Vancouver
Florez AYC, Scabora L de C, Amer-Yahia S, Rodrigues Junior JF. Augmentation techniques for sequential clinical data to improve deep learning prediction techniques [Internet]. Proceedings. 2020 ;[citado 2024 ago. 20 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00118