SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network.
Reda Al-BahraniDipendra JhaQiao KangSunwoo LeeZijiang YangWei-Keng LiaoAnkit AgrawalAlok N. ChoudharyPublished in: ICPRAM (2021)
Keyphrases
- imbalanced datasets
- minority class
- class distribution
- class imbalance
- majority class
- learning from imbalanced data
- imbalanced data
- cost sensitive learning
- classification error
- decision boundary
- nearest neighbour
- imbalanced class distribution
- training set
- rare class
- original data
- support vector machine
- training dataset
- ensemble learning
- sampling methods
- decision trees
- training data
- cost sensitive
- active learning
- ensemble methods
- misclassification costs
- feature selection algorithms
- hyperplane