Classification of dispersed patterns of radiographic images with COVID-19 by core-periphery network modeling (2021)
- Authors:
- Autor USP: LIANG, ZHAO - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1007/978-3-030-93409-5_4
- Subjects: COVID-19; RAIOS X; IMAGEM DIGITAL; DADOS CATEGORIZADOS
- Keywords: Data classification; Core-periphery network; Dispersed class pattern
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Complex Networks & Their Applications X
- ISSN: 1860-9503
- Volume/Número/Paginação/Ano: v. 1, p. 40-49, 2021
- Conference titles: International Conference on Complex Networks and Their Applications
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
YAN, Jianglong et al. Classification of dispersed patterns of radiographic images with COVID-19 by core-periphery network modeling. Complex Networks & Their Applications X. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-93409-5_4. Acesso em: 07 abr. 2026. , 2021 -
APA
Yan, J., Liu, W., Zhu, Y. -tao, Li, G., Zheng, Q., & Liang, Z. (2021). Classification of dispersed patterns of radiographic images with COVID-19 by core-periphery network modeling. Complex Networks & Their Applications X. Cham: Springer. doi:10.1007/978-3-030-93409-5_4 -
NLM
Yan J, Liu W, Zhu Y-tao, Li G, Zheng Q, Liang Z. Classification of dispersed patterns of radiographic images with COVID-19 by core-periphery network modeling [Internet]. Complex Networks & Their Applications X. 2021 ; 1 40-49.[citado 2026 abr. 07 ] Available from: https://doi.org/10.1007/978-3-030-93409-5_4 -
Vancouver
Yan J, Liu W, Zhu Y-tao, Li G, Zheng Q, Liang Z. Classification of dispersed patterns of radiographic images with COVID-19 by core-periphery network modeling [Internet]. Complex Networks & Their Applications X. 2021 ; 1 40-49.[citado 2026 abr. 07 ] Available from: https://doi.org/10.1007/978-3-030-93409-5_4 - Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
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