A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification.
Xiaowei GuPlamen P. AngelovEduardo Almeida SoaresPublished in: CoRR (2019)
Keyphrases
- class imbalance
- imbalanced data
- feature extraction
- pattern recognition
- feature vectors
- classification scheme
- classification algorithm
- minority class
- image classification
- classification method
- class distribution
- automatic classification
- supervised learning
- feature selection
- imbalanced datasets
- classification systems
- classification process
- decision rules
- pattern classification
- neural network
- support vector machine svm
- support vector machine
- classification accuracy
- support vector
- machine learning
- classification models
- training data
- multiclass classification
- decision trees
- real world