Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance.
June-Woo KimChihyeon YoonMiika ToikkanenSangmin BaeHo-Young JungPublished in: CoRR (2023)
Keyphrases
- fine tuning
- class imbalance
- class distribution
- cost sensitive
- active learning
- software defect prediction
- cost sensitive learning
- imbalanced datasets
- small disjuncts
- imbalanced data
- feature selection
- sampling methods
- majority class
- random subspaces
- fine tuned
- minority class
- concept drift
- high dimensionality
- pattern recognition