Adaptive semi-unsupervised weighted oversampling (A-SUWO) for imbalanced datasets

Author:

Nekooeimehr Iman,Lai-Yuen Susana K.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference31 articles.

1. Applying support vector machines to imbalanced datasets;Akbani,2004

2. A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets;Alshomrani;Knowledge-Based Systems,2015

3. MWMOTE–Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning;Barua;IEEE Transactions on Knowledge and Data Engineering,2014

4. Classifying imbalanced data sets using similarity based hierarchical decomposition;Beyan;Pattern Recognition,2014

5. Safe-level-smote: Safe-level-synthetic minority over-sampling technique for handling the class imbalanced problem;Bunkhumpornpat,2009

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