Interpretability analysis of deep models for COVID-19 detection (2024)
Source: Artificial Intelligence in Health. Unidades: IME, FFLCH, ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DA FALA, TECNOLOGIAS DA SAÚDE, COVID-19
ABNT
SILVA, Daniel Peixoto Pinto da et al. Interpretability analysis of deep models for COVID-19 detection. Artificial Intelligence in Health, v. 1, n. 3, p. 114-126, 2024Tradução . . Disponível em: https://doi.org/10.36922/aih.2992. Acesso em: 27 mar. 2025.APA
Silva, D. P. P. da, Casanova, E., Gris, L. R. S., Gauy, M. M., Candido Junior, A., Finger, M., et al. (2024). Interpretability analysis of deep models for COVID-19 detection. Artificial Intelligence in Health, 1( 3), 114-126. doi:10.36922/aih.2992NLM
Silva DPP da, Casanova E, Gris LRS, Gauy MM, Candido Junior A, Finger M, Svartman FRF, Medeiros BR de, Martins MVM, Aluísio SM, Berti LC, Teixeira JP. Interpretability analysis of deep models for COVID-19 detection [Internet]. Artificial Intelligence in Health. 2024 ; 1( 3): 114-126.[citado 2025 mar. 27 ] Available from: https://doi.org/10.36922/aih.2992Vancouver
Silva DPP da, Casanova E, Gris LRS, Gauy MM, Candido Junior A, Finger M, Svartman FRF, Medeiros BR de, Martins MVM, Aluísio SM, Berti LC, Teixeira JP. Interpretability analysis of deep models for COVID-19 detection [Internet]. Artificial Intelligence in Health. 2024 ; 1( 3): 114-126.[citado 2025 mar. 27 ] Available from: https://doi.org/10.36922/aih.2992