Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling.
Hongrui LiShuangxin WangJiading JiangChuiyi DengJunmei OuZiang ZhouDingli YuPublished in: Neurocomputing (2024)
Keyphrases
- imbalanced datasets
- class imbalance
- class distribution
- minority class
- sampling methods
- learning from imbalanced data
- cost sensitive learning
- majority class
- active learning
- imbalanced data
- ensemble methods
- decision trees
- feature vectors
- training dataset
- neural network
- cost sensitive
- feature selection algorithms
- feature selection
- machine learning
- microarray
- concept drift