Cite
HARVARD Citation
Rivera, W. et al. (2016). A priori synthetic over-sampling methods for increasing classification sensitivity in imbalanced data sets. Expert systems with applications. pp. 124-135. [Online].
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Rivera, W. et al. (2016). A priori synthetic over-sampling methods for increasing classification sensitivity in imbalanced data sets. Expert systems with applications. pp. 124-135. [Online].