A new particle competition model for community detection with application in functional brain networks (2021)
- Authors:
- USP affiliated authors: LIANG, ZHAO - FFCLRP ; PAULA, PAULO HENRIQUE LIMA DE - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1109/IJCNN52387.2021.9533526
- Subjects: REDE NERVOSA; COGNIÇÃO; CÉREBRO; ESTÍMULOS
- Keywords: Brain networks; Complex network theory; Community detection; Particle competition
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2021
- Source:
- Título: Proceedings
- Conference titles: International Joint Conference on Neural Networks (IJCNN)
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
PAULA, Paulo Henrique Lima de e LIANG, Zhao. A new particle competition model for community detection with application in functional brain networks. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/IJCNN52387.2021.9533526. Acesso em: 09 jan. 2026. -
APA
Paula, P. H. L. de, & Liang, Z. (2021). A new particle competition model for community detection with application in functional brain networks. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN52387.2021.9533526 -
NLM
Paula PHL de, Liang Z. A new particle competition model for community detection with application in functional brain networks [Internet]. Proceedings. 2021 ;[citado 2026 jan. 09 ] Available from: https://doi.org/10.1109/IJCNN52387.2021.9533526 -
Vancouver
Paula PHL de, Liang Z. A new particle competition model for community detection with application in functional brain networks [Internet]. Proceedings. 2021 ;[citado 2026 jan. 09 ] Available from: https://doi.org/10.1109/IJCNN52387.2021.9533526 - Competição de partículas paralelas para identificação de comunidades desbalanceadas com aplicação em redes cerebrais funcionais
- Data heterogeneity consideration in semi-supervised learning
- Machine learning via dynamical processes in complex networks
- Semi-supervised learning guided by the modularity measure in complex networks
- Handwritten digits recognition using a high level network-based approach
- On the data classification using complex network entropy
- Caracterização de classes via otimização em redes complexas
- Network-based supervised data classification by using an heuristic of ease of access
- Label propagation through neuronal synchrony
- QK-means: a clustering technique based on community detection and 'capa'-means for deployment of custer head nodes
Informações sobre o DOI: 10.1109/IJCNN52387.2021.9533526 (Fonte: oaDOI API)
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