Boosting COVID-19 Severity Detection with Infection-Aware Contrastive Mixup Classification.
Junlin HouJilan XuNan ZhangYuejie ZhangXiaobo ZhangRui FengPublished in: ECCV Workshops (7) (2022)
Keyphrases
- classification accuracy
- robust detection
- feature selection
- false positives
- classification models
- feature vectors
- supervised learning
- support vector machine svm
- discriminative classifiers
- classification systems
- cost sensitive
- svm classifier
- object detection
- feature space
- image classification
- text classification
- decision trees
- training samples
- neural network
- detection algorithm
- automatic classification
- learning algorithm
- decision tree algorithm
- multiple classifier systems
- weak learners
- feature extraction
- false alarms
- support vector
- pattern recognition
- automatic detection
- classification rules
- training set
- benchmark datasets
- detection method
- anomaly detection
- model selection