Adversarial oversampling for multi-class imbalanced data classification with convolutional neural networks.
Adam WojciechowskiMateusz LangoPublished in: LIDTA (2022)
Keyphrases
- multi class
- imbalanced data classification
- convolutional neural networks
- feature selection
- class imbalance
- minority class
- support vector machine
- cost sensitive
- class distribution
- multi class classification
- active learning
- binary classification
- multiple classes
- object detection
- base classifiers
- multi class classifier
- feature extraction
- support vector
- machine learning
- binary classifiers
- decision boundary
- multi task
- classification error
- feature space
- pairwise
- training dataset
- knn
- nearest neighbour
- misclassification costs
- data mining
- linear classifiers
- neural network
- machine learning methods
- prediction accuracy
- k nearest neighbor
- semi supervised
- classification accuracy