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 acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 25 fev. 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 fev. 25 ] 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 fev. 25 ] 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
- Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
- Computer-aided music composition with LSTM neural network and chaotic inspiration
- Semi-supervised learning by edge domination in complex networks
- Dimensionality reduction with the k-associated optimal graph applied to image classification
- Bias-guided random walk for network-based data classification
- A review and comparative analysis of coarsening algorithms on bipartite networks
- Semi-supervised learning from imperfect data through particle cooperation and competition
- Chaotic phase synchronization and desynchronization in an oscillator network for object selection
- Random walk in feature-sample networks for semi-supervised classification
Informações sobre o DOI: 10.1109/IJCNN52387.2021.9533526 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
003223595.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
