Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions.
Quoc Bao PhamÖmer EkmekciogluSk Ajim AliKerim KocFarhana ParvinPublished in: Appl. Soft Comput. (2023)
Keyphrases
- class imbalance
- class distribution
- active learning
- imbalanced datasets
- cost sensitive
- high dimensionality
- random subspaces
- cost sensitive learning
- sampling methods
- small disjuncts
- feature selection
- concept drift
- imbalanced class distribution
- software defect prediction
- learning algorithm
- majority class
- image classification
- naive bayes
- change detection
- dimensionality reduction
- input image
- training set
- machine learning