HAR: Hardness Aware Reweighting for Imbalanced Datasets.
Rahul DuggalScott FreitasSunny DhamnaniDuen Horng ChauJimeng SunPublished in: IEEE BigData (2021)
Keyphrases
- imbalanced datasets
- cost sensitive learning
- learning from imbalanced data
- class distribution
- ensemble methods
- class imbalance
- decision trees
- training dataset
- sampling methods
- ensemble learning
- base classifiers
- imbalanced data
- cost sensitive
- feature selection algorithms
- pairwise
- benchmark datasets
- small number
- minority class
- active learning