An Asymmetric Contrastive Loss for Handling Imbalanced Datasets.
Valentino VitoLim Yohanes StefanusPublished in: CoRR (2022)
Keyphrases
- imbalanced datasets
- learning from imbalanced data
- class distribution
- cost sensitive learning
- decision trees
- imbalanced data
- training dataset
- class imbalance
- sampling methods
- ensemble methods
- feature selection algorithms
- fraud detection
- machine learning
- cost sensitive
- text categorization
- support vector machine
- training data