Imbalanced Classification via Feature Dictionary-Based Minority Oversampling.
Minho ParkHwa Jeon SongDong-Oh KangPublished in: IEEE Access (2022)
Keyphrases
- class imbalance
- minority class
- majority class
- feature vectors
- class distribution
- class imbalanced
- classification accuracy
- pattern recognition
- machine learning
- cost sensitive
- feature set
- image features
- imbalanced data
- imbalanced datasets
- imbalanced data sets
- cost sensitive learning
- discriminative features
- single class
- feature selection
- support vector
- support vector machine
- image classification
- decision trees
- feature extraction
- machine learning methods
- active learning
- binary classification problems
- nearest neighbour
- class labels
- feature values
- training data
- feature weights
- rare events
- feature space
- multi class
- feature representation
- text classification
- model selection
- classification error
- classification models
- support vector machine svm
- feature subset
- high dimensionality
- classification method
- decision rules