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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 23 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. 23 ]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. 23 ]
