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SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary.
Alberto Fernández
Salvador García
Francisco Herrera
Nitesh V. Chawla
Published in:
J. Artif. Intell. Res. (2018)
Keyphrases
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learning from imbalanced data
imbalanced datasets
imbalanced data
cost sensitive learning
ensemble methods
class distribution
decision trees
class imbalance
linear regression
training dataset
classification models
minority class
feature space
random forest
classification error