Semi-supervised learning guided by the modularity measure in complex networks (2012)
- Authors:
- Autor USP: LIANG, ZHAO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.neucom.2011.04.042
- Subjects: INTELIGÊNCIA ARTIFICIAL; OTIMIZAÇÃO COMBINATÓRIA
- Language: Inglês
- Imprenta:
- Source:
- Título: Neurocomputing
- ISSN: 0925-2312
- Volume/Número/Paginação/Ano: v.78, n. 1, p. 30-37, fev. 2012
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVA, Thiago C e LIANG, Zhao. Semi-supervised learning guided by the modularity measure in complex networks. Neurocomputing, v. fe 2012, n. 1, p. 30-37, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2011.04.042. Acesso em: 04 mar. 2026. -
APA
Silva, T. C., & Liang, Z. (2012). Semi-supervised learning guided by the modularity measure in complex networks. Neurocomputing, fe 2012( 1), 30-37. doi:10.1016/j.neucom.2011.04.042 -
NLM
Silva TC, Liang Z. Semi-supervised learning guided by the modularity measure in complex networks [Internet]. Neurocomputing. 2012 ; fe 2012( 1): 30-37.[citado 2026 mar. 04 ] Available from: https://doi.org/10.1016/j.neucom.2011.04.042 -
Vancouver
Silva TC, Liang Z. Semi-supervised learning guided by the modularity measure in complex networks [Internet]. Neurocomputing. 2012 ; fe 2012( 1): 30-37.[citado 2026 mar. 04 ] Available from: https://doi.org/10.1016/j.neucom.2011.04.042 - Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
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Informações sobre o DOI: 10.1016/j.neucom.2011.04.042 (Fonte: oaDOI API)
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