Fonte: Proceedings. Nome do evento: International Conference on Artificial Intelligence in Medicine - AIME. Unidades: IME, FM, FFLCH
Assuntos: INTELIGÊNCIA ARTIFICIAL, APRENDIZAGEM PROFUNDA, INSUFICIÊNCIA RESPIRATÓRIA, COVID-19
ABNT
GAUY, Marcelo Matheus et al. Discriminant audio properties in deep learning based respiratory insufficiency detection in brazilian portuguese. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-34344-5_32. Acesso em: 06 nov. 2024.APA
Gauy, M. M., Berti, L. C., Candido Junior, A., Camargo Neto, A. C. de, Goldman, A., Levin, A. S., et al. (2023). Discriminant audio properties in deep learning based respiratory insufficiency detection in brazilian portuguese. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-34344-5_32NLM
Gauy MM, Berti LC, Candido Junior A, Camargo Neto AC de, Goldman A, Levin AS, Martins MVM, Medeiros BR de, Queiroz MG de, Sabino EC, Svartman FF, Finger M. Discriminant audio properties in deep learning based respiratory insufficiency detection in brazilian portuguese [Internet]. Proceedings. 2023 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/978-3-031-34344-5_32Vancouver
Gauy MM, Berti LC, Candido Junior A, Camargo Neto AC de, Goldman A, Levin AS, Martins MVM, Medeiros BR de, Queiroz MG de, Sabino EC, Svartman FF, Finger M. Discriminant audio properties in deep learning based respiratory insufficiency detection in brazilian portuguese [Internet]. Proceedings. 2023 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1007/978-3-031-34344-5_32