Ensembles of optimum-path forest classifiers using input data manipulation and undersampling (2013)
Ponti, Moacir Antonelli 
; Rossi, Isadora
Fonte: Lecture Notes in Computer Science. Nome do evento: International Workshop on Multiple Classifier Systems - MCS. Unidade: ICMC
Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL
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PONTI, Moacir Antonelli e ROSSI, Isadora. Ensembles of optimum-path forest classifiers using input data manipulation and undersampling. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-38067-9_21. Acesso em: 11 nov. 2025. , 2013APA
Ponti, M. A., & Rossi, I. (2013). Ensembles of optimum-path forest classifiers using input data manipulation and undersampling. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-38067-9_21NLM
Ponti MA, Rossi I. Ensembles of optimum-path forest classifiers using input data manipulation and undersampling [Internet]. Lecture Notes in Computer Science. 2013 ; 7872 236-246.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/978-3-642-38067-9_21Vancouver
Ponti MA, Rossi I. Ensembles of optimum-path forest classifiers using input data manipulation and undersampling [Internet]. Lecture Notes in Computer Science. 2013 ; 7872 236-246.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/978-3-642-38067-9_21
