ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information.
Mateusz LangoDariusz BrzezinskiJerzy StefanowskiPublished in: LIDTA@ECML/PKDD (2018)
Keyphrases
- imbalanced data
- neighborhood information
- learning from imbalanced data
- ensemble methods
- imbalanced datasets
- linear regression
- class distribution
- support vector machine
- classification models
- random forest
- sampling methods
- feature selection
- decision trees
- ensemble classifier
- class imbalance
- svm classifier
- benchmark datasets
- decision boundary
- training examples
- active learning
- similarity measure