Network-based high level data classification (2012)
- Authors:
- Autor USP: LIANG, ZHAO - ICMC
- Unidade: ICMC
- DOI: 10.1109/TNNLS.2012.2195027
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher place: Los Alamitos
- Date published: 2012
- Source:
- Título: IEEE Transactions on Neural Networks and Learning Systems
- ISSN: 2162-237X
- Volume/Número/Paginação/Ano: v. 23, n. 6, p. 954-970, jun. 2012
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão submetida (Pré-print)
- Acessar versão aberta:
-
ABNT
SILVA, Thiago Christiano e LIANG, Zhao. Network-based high level data classification. IEEE Transactions on Neural Networks and Learning Systems, v. 23, n. ju 2012, p. 954-970, 2012Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2012.2195027. Acesso em: 18 mar. 2026. -
APA
Silva, T. C., & Liang, Z. (2012). Network-based high level data classification. IEEE Transactions on Neural Networks and Learning Systems, 23( ju 2012), 954-970. doi:10.1109/TNNLS.2012.2195027 -
NLM
Silva TC, Liang Z. Network-based high level data classification [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( ju 2012): 954-970.[citado 2026 mar. 18 ] Available from: https://doi.org/10.1109/TNNLS.2012.2195027 -
Vancouver
Silva TC, Liang Z. Network-based high level data classification [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2012 ; 23( ju 2012): 954-970.[citado 2026 mar. 18 ] Available from: https://doi.org/10.1109/TNNLS.2012.2195027 - 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
- Classificação de alto nível baseada em entropia da rede
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
