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Using Gabriel graphs in Borderline-SMOTE to deal with severe two-class imbalance problems on neural networks.
P. Toribio
Roberto Alejo
Rosa Maria Valdovinos
J. H. Pacheco-Sanchez
Published in:
CCIA (2012)
Keyphrases
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class imbalance
neural network
class distribution
high dimensionality
imbalanced data
imbalanced datasets
active learning
cost sensitive
pattern recognition
pairwise
minority class
imbalanced data sets
feature selection
concept drift
dimensionality reduction
data analysis
majority class
learning algorithm