A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification (2014)
- Authors:
- USP affiliated authors: LOPES, ALNEU DE ANDRADE - ICMC ; REZENDE, SOLANGE OLIVEIRA - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Printing House/ACM
- Publisher place: Stoughton
- Date published: 2014
- ISBN: 9781450324694
- Source:
- Título: Proceedings
- Conference titles: Symposium on Applied Computing - SAC
-
ABNT
ROSSI, Rafael G e LOPES, Alneu de Andrade e REZENDE, Solange Oliveira. A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification. 2014, Anais.. Stoughton: Printing House/ACM, 2014. . Acesso em: 28 dez. 2025. -
APA
Rossi, R. G., Lopes, A. de A., & Rezende, S. O. (2014). A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification. In Proceedings. Stoughton: Printing House/ACM. -
NLM
Rossi RG, Lopes A de A, Rezende SO. A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification. Proceedings. 2014 ;[citado 2025 dez. 28 ] -
Vancouver
Rossi RG, Lopes A de A, Rezende SO. A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification. Proceedings. 2014 ;[citado 2025 dez. 28 ] - Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts
- Workshop on Web and Text Intelligence - WTI, 1: Proceedings
- Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization
- Term network approach for transductive classification
- Inductive model generation for text categorization using a bipartite heterogeneous network
- Inductive model generation for text classification using a bipartite heterogeneous network
- Sistema para extração de informações de artigos científicos - IESYSTEM
- Comparing relational and non-relational algorithms for clustering propositional data
- Efficient identification of duplicate bibliographical references
- Information extraction from tagged bibliographical references
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
