17 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 1 cited
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning
Wenhao Zhang, Ramin Ramezani, Arash Naeim
Machine learning classifiers often stumble over imbalanced datasets where classes are not equally represented. This inherent bias towards the majority class may result in low accur…
cs.LG2019★ 17 cited
GenSample: A Genetic Algorithm for Oversampling in Imbalanced Datasets
Vishwa Karia, Wenhao Zhang, Arash Naeim +1
Imbalanced datasets are ubiquitous. Classification performance on imbalanced datasets is generally poor for the minority class as the classifier cannot learn decision boundaries we…