17 citations · 32 across the 11 of their papers we have counts for
3 papers · 1 filter
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…
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…
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning
Wenhao Zhang, Wentian Bao, Xiao-Yang Liu +4
Post-click conversion rate (CVR) estimation is a critical task in e-commerce recommender systems. This task is deemed quite challenging under the industrial setting with two major…