Evolutionary simultaneous under and oversampling of instances for dealing with class-imbalance datasets in multilabel problems.
Nicolás García-PedrajasJosé Manuel Cuevas-MuñozAida de Haro-GarcíaPublished in: Appl. Soft Comput. (2024)
Keyphrases
- class imbalance
- multi label
- sampling methods
- binary classification
- imbalanced datasets
- high dimensionality
- active learning
- minority class
- cost sensitive
- class distribution
- cost sensitive learning
- text categorization
- neural network
- text classification
- graph cuts
- data sets
- concept drift
- high dimensional
- small number
- multi class