Interpretability analysis of deep models for COVID-19 detection (2024)
- Authors:
- Silva, Daniel Peixoto Pinto da
- Casanova, Edresson
- Gris, Lucas Rafael Stefanel
- Gauy, Marcelo Matheus
- Candido Junior, Arnaldo
- Finger, Marcelo
- Svartman, Flaviane Romani Fernandes
- Medeiros, Beatriz Raposo de
- Martins, Marcus Vinícius Moreira
- Aluísio, Sandra Maria
- Berti, Larissa Cristina
- Teixeira, João Paulo
- Silva, Daniel Peixoto Pinto da
- USP affiliated authors: FINGER, MARCELO - IME ; SVARTMAN, FLAVIANE ROMANI FERNANDES - FFLCH ; MEDEIROS, BEATRIZ RAPOSO DE - FFLCH ; ALUISIO, SANDRA MARIA - ICMC ; CASANOVA, EDRESSON - ICMC ; GAUY, MARCELO MATHEUS - IME
- Unidades: IME; FFLCH; ICMC
- DOI: 10.36922/aih.2992
- Subjects: REDES NEURAIS; RECONHECIMENTO DA FALA; TECNOLOGIAS DA SAÚDE; COVID-19
- Keywords: Coronavirus disease 2019 detection; Voice processing; Gradient-weight class activation mapping
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Artificial Intelligence in Health
- ISSN: 3041-0894
- Volume/Número/Paginação/Ano: v. 1, n. 3, p. 114-126, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 09 fev. 2026. -
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.2992 -
NLM
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 2026 fev. 09 ] Available from: https://doi.org/10.36922/aih.2992 -
Vancouver
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 2026 fev. 09 ] Available from: https://doi.org/10.36922/aih.2992 - Acoustic characteristics of voice and speech in post-COVID-19
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Informações sobre o DOI: 10.36922/aih.2992 (Fonte: oaDOI API)
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