Rodrigues, Natália Villa Nova 
; Abramo, Luis Raul Weber ; Hirata, Nina Sumiko Tomita
Source: Machine Learning: Science and Technology. Unidades: IF, IME
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE DADOS, ESTATÍSTICA
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ABNT
RODRIGUES, Natália Villa Nova e ABRAMO, Luis Raul Weber e HIRATA, Nina Sumiko Tomita. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, v. 4, n. artigo 045019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-2153/ad0285. Acesso em: 24 jan. 2026.APA
Rodrigues, N. V. N., Abramo, L. R. W., & Hirata, N. S. T. (2023). The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, 4( artigo 045019), 1-26. doi:10.1088/2632-2153/ad0285NLM
Rodrigues NVN, Abramo LRW, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2026 jan. 24 ] Available from: https://doi.org/10.1088/2632-2153/ad0285Vancouver
Rodrigues NVN, Abramo LRW, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2026 jan. 24 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
