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DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem.
Angélica Guzmán Ponce
José Salvador Sánchez
Rosa Maria Valdovinos
José Raymundo Marcial-Romero
Published in:
Expert Syst. Appl. (2021)
Keyphrases
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sampling algorithm
class imbalance
sampling methods
random sampling
active learning
class distribution
cost sensitive
high dimensionality
concept drift
feature selection
facial expressions
unlabeled data