Highly Efficient Representation and Active Learning Framework for Imbalanced Data and its Application to COVID-19 X-Ray Classification.
Heng HaoSima DidariJae Oh WooHankyu MoonPatrick BangertPublished in: CoRR (2021)
Keyphrases
- x ray
- highly efficient
- imbalanced data
- active learning framework
- x ray images
- classification models
- class imbalance
- digital x ray images
- feature selection
- class distribution
- support vector machine
- active learning
- classification accuracy
- linear regression
- pattern recognition
- classification algorithm
- low cost
- feature space
- image classification
- support vector
- three dimensional
- training set
- supervised learning
- ensemble classifier
- decision trees
- data sets
- support vector machine svm
- class labels
- pattern classification
- training data
- feature extraction