Causation generalization through the identification of equivalent nodes in causal sparse graphs constructed from text using node similarity strategies (2015)
- Authors:
- Autor USP: LOPES, ALNEU DE ANDRADE - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Annual International Symposium on Information Management and Big Data - SIMBig
-
ABNT
DRURY, Brett e VALVERDE-REBAZA, Jorge e LOPES, Alneu de Andrade. Causation generalization through the identification of equivalent nodes in causal sparse graphs constructed from text using node similarity strategies. 2015, Anais.. Aachen: CEUR-WS, 2015. Disponível em: http://ceur-ws.org/Vol-1478/paper6.pdf. Acesso em: 07 jun. 2025. -
APA
Drury, B., Valverde-Rebaza, J., & Lopes, A. de A. (2015). Causation generalization through the identification of equivalent nodes in causal sparse graphs constructed from text using node similarity strategies. In Proceedings. Aachen: CEUR-WS. Recuperado de http://ceur-ws.org/Vol-1478/paper6.pdf -
NLM
Drury B, Valverde-Rebaza J, Lopes A de A. Causation generalization through the identification of equivalent nodes in causal sparse graphs constructed from text using node similarity strategies [Internet]. Proceedings. 2015 ;[citado 2025 jun. 07 ] Available from: http://ceur-ws.org/Vol-1478/paper6.pdf -
Vancouver
Drury B, Valverde-Rebaza J, Lopes A de A. Causation generalization through the identification of equivalent nodes in causal sparse graphs constructed from text using node similarity strategies [Internet]. Proceedings. 2015 ;[citado 2025 jun. 07 ] Available from: http://ceur-ws.org/Vol-1478/paper6.pdf - Efficient identification of duplicate bibliographical references
- Information extraction from tagged bibliographical references
- A graph-based bagging
- An open source tool for crowd-sourcing the manual annotation of texts
- Link prediction in graph construction for supervised and semi-supervised learning
- Exploring data classification with k-associated network
- Bipartite graph for topic extraction
- Structural link prediction using community information on Twitter
- Graph-based cross-validated committees ensembles
- Data visualization and relevance feedback applied to information retrieval
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