ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification.
Shuxian LiLiyan SongXiaoyu WuZheng HuYiu-ming CheungXin YaoPublished in: ECML/PKDD (2) (2023)
Keyphrases
- class imbalance
- imbalanced data sets
- supervised learning
- learning algorithm
- active learning
- pattern recognition
- cost sensitive
- learning process
- small number
- class distribution
- decision trees
- cost sensitive learning
- learning scheme
- classification algorithm
- class labels
- reinforcement learning
- feature extraction
- high dimensionality
- support vector machine
- feature space
- minority class
- class imbalanced