Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data.
Salman H. KhanMunawar HayatMohammed BennamounFerdous Ahmed SohelRoberto TogneriPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- cost sensitive learning
- imbalanced data
- class imbalance
- class distribution
- minority class
- cost sensitive
- misclassification costs
- active learning
- sampling methods
- probability estimation
- support vector machine
- multi class
- missing values
- concept drift
- training data
- test set
- ensemble methods
- generative model
- rule extraction
- decision trees
- feature selection
- test data
- svm classifier
- training set
- data sets
- base classifiers
- ensemble learning
- training examples
- pairwise
- learning algorithm