Deep topological embedding with convolutional neural networks for complex network classification (2022)
- Authors:
- USP affiliated authors: BRUNO, ODEMIR MARTINEZ - IFSC ; SCABINI, LEONARDO FELIPE DOS SANTOS - IFSC ; RIBAS, LUCAS CORREIA - IFSC
- Unidade: IFSC
- DOI: 10.1007/978-3-030-97240-0_5
- Subjects: REDES COMPLEXAS; REDES NEURAIS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science - LNCS
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 13197, p. 54-66, Feb. 2022
- Conference titles: NetSci-X
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SCABINI, Leonardo et al. Deep topological embedding with convolutional neural networks for complex network classification. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-030-97240-0_5. Acesso em: 19 set. 2024. , 2022 -
APA
Scabini, L., Ribas, L., Eraldo Ribeiro,, & Bruno, O. M. (2022). Deep topological embedding with convolutional neural networks for complex network classification. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-030-97240-0_5 -
NLM
Scabini L, Ribas L, Eraldo Ribeiro, Bruno OM. Deep topological embedding with convolutional neural networks for complex network classification [Internet]. Lecture Notes in Computer Science - LNCS. 2022 ; 13197 54-66.[citado 2024 set. 19 ] Available from: https://doi.org/10.1007/978-3-030-97240-0_5 -
Vancouver
Scabini L, Ribas L, Eraldo Ribeiro, Bruno OM. Deep topological embedding with convolutional neural networks for complex network classification [Internet]. Lecture Notes in Computer Science - LNCS. 2022 ; 13197 54-66.[citado 2024 set. 19 ] Available from: https://doi.org/10.1007/978-3-030-97240-0_5 - Fusion of complex networks and randomized neural networks for texture analysis
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Informações sobre o DOI: 10.1007/978-3-030-97240-0_5 (Fonte: oaDOI API)
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