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DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem.

Angélica Guzmán PonceJosé Salvador SánchezRosa Maria ValdovinosJosé Raymundo Marcial-Romero
Published in: Expert Syst. Appl. (2021)
Keyphrases
  • sampling algorithm
  • class imbalance
  • sampling methods
  • random sampling
  • active learning
  • class distribution
  • cost sensitive
  • high dimensionality
  • concept drift
  • feature selection
  • facial expressions
  • unlabeled data