SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level (2022)
- Authors:
- Autor USP: NONATO, LUIS GUSTAVO - ICMC
- Unidade: ICMC
- DOI: 10.1109/MCG.2022.3199727
- Subjects: CLUSTERS; VISUALIZAÇÃO; APRENDIZADO COMPUTACIONAL
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway
- Date published: 2022
- Source:
- Título: IEEE Computer Graphics and Applications
- ISSN: 0272-1716
- Volume/Número/Paginação/Ano: v. 42, n. 6, p. 24-36, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
YUAN, Jun et al. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level. IEEE Computer Graphics and Applications, v. 42, n. 6, p. 24-36, 2022Tradução . . Disponível em: https://doi.org/10.1109/MCG.2022.3199727. Acesso em: 10 fev. 2026. -
APA
Yuan, J., Chan, G. Y. -Y., Barr, B., Overton, K., Rees, K., Nonato, L. G., et al. (2022). SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level. IEEE Computer Graphics and Applications, 42( 6), 24-36. doi:10.1109/MCG.2022.3199727 -
NLM
Yuan J, Chan GY-Y, Barr B, Overton K, Rees K, Nonato LG, Bertini E, Silva CT. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level [Internet]. IEEE Computer Graphics and Applications. 2022 ; 42( 6): 24-36.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1109/MCG.2022.3199727 -
Vancouver
Yuan J, Chan GY-Y, Barr B, Overton K, Rees K, Nonato LG, Bertini E, Silva CT. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level [Internet]. IEEE Computer Graphics and Applications. 2022 ; 42( 6): 24-36.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1109/MCG.2022.3199727 - Facing the high-dimensions: inverse projection with radial basis functions
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Informações sobre o DOI: 10.1109/MCG.2022.3199727 (Fonte: oaDOI API)
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