Abstract: One of the powerful techniques in data modeling is accounting for features that are available at the training stage, but are not available when the trained model is used to classify or ...

Abstract: Class imbalance introduces bias into model learning and remains a persistent and fundamental challenge in machine learning. When class imbalance is coupled with complex data distribution ...