Improving rule induction precision dor automated annotation by balancing skewed data sets (2004)
Batista, Gustavo Enrique de Almeida Prado Alves; Monard, Maria Carolina 
; Bazzan, Ana Lúcia Cetertich
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Symposium on Knowledge Exploration in Life Science Informatics. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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BATISTA, Gustavo Enrique de Almeida Prado Alves e MONARD, Maria Carolina e BAZZAN, Ana Lúcia Cetertich. Improving rule induction precision dor automated annotation by balancing skewed data sets. Lecture Notes in Artificial Intelligence. Heidelberger: Springer. . Acesso em: 17 nov. 2025. , 2004APA
Batista, G. E. de A. P. A., Monard, M. C., & Bazzan, A. L. C. (2004). Improving rule induction precision dor automated annotation by balancing skewed data sets. Lecture Notes in Artificial Intelligence. Heidelberger: Springer.NLM
Batista GE de APA, Monard MC, Bazzan ALC. Improving rule induction precision dor automated annotation by balancing skewed data sets. Lecture Notes in Artificial Intelligence. 2004 ; 3303 20-32.[citado 2025 nov. 17 ]Vancouver
Batista GE de APA, Monard MC, Bazzan ALC. Improving rule induction precision dor automated annotation by balancing skewed data sets. Lecture Notes in Artificial Intelligence. 2004 ; 3303 20-32.[citado 2025 nov. 17 ]
