Ensembles of optimum-path forest classifiers using input data manipulation and undersampling (2013)
- Authors:
- Autor USP: PONTI JUNIOR, MOACIR PEREIRA - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-38067-9_21
- Subjects: COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Berlin
- Date published: 2013
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 7872, p. 236-246, 2013
- Conference titles: International Workshop on Multiple Classifier Systems - MCS
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
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: 06 maio 2026. , 2013 -
APA
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_21 -
NLM
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 2026 maio 06 ] Available from: https://doi.org/10.1007/978-3-642-38067-9_21 -
Vancouver
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 2026 maio 06 ] Available from: https://doi.org/10.1007/978-3-642-38067-9_21 - Mobile inertial sensors for fall risk screening and prediction
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