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Analysing the Safe, Average and Border Samples on Two-Class Imbalance Problems in the Back-Propagation Domain

Alejo, Roberto ; Monroy-de-Jesús, Juan ; Pacheco-Sánchez, J. Horacio ; Valdovinos, Rosa María ; Antonio-Velázquez, Juan A. ; Marcial-Romero, J. Raymundo Kittler, Josef ; Pardo, Alvaro

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.699-707 [Periódico revisado por pares]

Cham: Springer International Publishing

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  • Título:
    Analysing the Safe, Average and Border Samples on Two-Class Imbalance Problems in the Back-Propagation Domain
  • Autor: Alejo, Roberto ; Monroy-de-Jesús, Juan ; Pacheco-Sánchez, J. Horacio ; Valdovinos, Rosa María ; Antonio-Velázquez, Juan A. ; Marcial-Romero, J. Raymundo
  • Kittler, Josef ; Pardo, Alvaro
  • Assuntos: Average and safe samples ; Back-propagation ; Border ; SMOTE ; Two-class imbalance
  • É parte de: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.699-707
  • Notas: This work has been partially supported under grants of: Projects 3072/2011 from the UAEM, ROMEP/103.5/12/4783 from the Mexican SEP and SDMAIA-010 of the TESJO, and by the UAEM 3834/2014/CIA project.
  • Descrição: In this work, we analyze the training samples for discovering what kind of samples are more appropriate to train the back-propagation algorithm. To do this, we propose a Gaussian function in order to identify three types of samples: Border, Safe and Average samples. Experiments on sixteen two-class imbalanced data sets where carried out, and a non-parametrical statistical test was applied. In addition, we employ the SMOTE as classification performance reference, i.e., to know whether the studied methods are competitive with respect to SMOTE performance. Experimental results show that the best samples to train the back-propagation are the average samples and the worst are the safe samples.
  • Títulos relacionados: Lecture Notes in Computer Science
  • Editor: Cham: Springer International Publishing
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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