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Large margin classifiers to generate synthetic data for imbalanced datasets.
Marcelo Ladeira Marques
Saulo Moraes Villela
Carlos Cristiano Hasenclever Borges
Published in:
Appl. Intell. (2020)
Keyphrases
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synthetic data
imbalanced datasets
large margin classifiers
class distribution
class imbalance
data sets
real world
sampling methods
decision trees
ensemble methods
training dataset
neural network
support vector
rough sets
misclassification costs