Neural network training fingerprint: visual analytics of the training process in classification neural networks (2022)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- DOI: 10.1007/s12650-021-00809-4
- Subjects: REDES NEURAIS; APRENDIZADO COMPUTACIONAL; VISUALIZAÇÃO
- Keywords: Neural network visualization; Neural network training; Deep learning; Visual analytics
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Visualization
- ISSN: 1343-8875
- Volume/Número/Paginação/Ano: v. 25, n. 3, p. 593-612, June 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FERREIRA, Martha Dais et al. Neural network training fingerprint: visual analytics of the training process in classification neural networks. Journal of Visualization, v. 25, n. 3, p. 593-612, 2022Tradução . . Disponível em: https://doi.org/10.1007/s12650-021-00809-4. Acesso em: 05 jan. 2026. -
APA
Ferreira, M. D., Cantareira, G. D., Mello, R. F. de, & Paulovich, F. V. (2022). Neural network training fingerprint: visual analytics of the training process in classification neural networks. Journal of Visualization, 25( 3), 593-612. doi:10.1007/s12650-021-00809-4 -
NLM
Ferreira MD, Cantareira GD, Mello RF de, Paulovich FV. Neural network training fingerprint: visual analytics of the training process in classification neural networks [Internet]. Journal of Visualization. 2022 ; 25( 3): 593-612.[citado 2026 jan. 05 ] Available from: https://doi.org/10.1007/s12650-021-00809-4 -
Vancouver
Ferreira MD, Cantareira GD, Mello RF de, Paulovich FV. Neural network training fingerprint: visual analytics of the training process in classification neural networks [Internet]. Journal of Visualization. 2022 ; 25( 3): 593-612.[citado 2026 jan. 05 ] Available from: https://doi.org/10.1007/s12650-021-00809-4 - Caracterização de comportamento de sistemas por meio de agrupamento de dados e detecção de novidades
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Informações sobre o DOI: 10.1007/s12650-021-00809-4 (Fonte: oaDOI API)
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