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Evolutionary Algorithms for Aggregating Ensembles of Classifiers and Clusterers

Grant number: 10/20830-0
Support Opportunities:Scholarships in Brazil - Doctorate
Start date: July 01, 2012
End date: June 30, 2015
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Eduardo Raul Hruschka
Grantee:Luiz Fernando Sommaggio Coletta
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
News published in Agência FAPESP Newsletter about the scholarship:
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VEICULO: TITULO (DATA)
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DA SILVA, NADIA FELIX F.; COLETTA, LUIZ F. S.; HRUSCHKA, EDUARDO R.. A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning. ACM COMPUTING SURVEYS, v. 49, n. 1, . (13/07375-0, 10/20830-0)
FELIPE DA SILVA, NADIA FELIX; COLETTA, LUIZ F. S.; HRUSCHKA, EDUARDO R.; HRUSCHKA, JR., ESTEVAM R.. Using unsupervised information to improve semi-supervised tweet sentiment classification. INFORMATION SCIENCES, v. 355, p. 348-365, . (13/07375-0, 10/20830-0)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
COLETTA, Luiz Fernando Sommaggio. Approaches for combining classifiers and clusterers in classification problems. 2015. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.