Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification.
Lei LiuWentao LeiXiang WanLi LiuYongfang LuoCheng FengPublished in: ICTAI (2020)
Keyphrases
- semi supervised
- active learning
- supervised learning
- labeled data
- selective sampling
- labeled and unlabeled data
- semi supervised classification
- unlabeled data
- lung disease
- semi supervised learning
- label information
- semi supervised learning algorithms
- unsupervised learning
- machine learning
- incremental learning
- pairwise
- training set
- pattern recognition
- classification accuracy
- class imbalance
- class labels
- fully supervised
- co training
- unlabeled samples
- support vector machine svm
- feature extraction
- batch mode active learning
- transductive learning
- learning algorithm
- feature space
- lung cancer
- labeled examples
- cost sensitive
- training examples
- multi view
- feature vectors
- feature selection
- pool based active learning
- imbalanced data classification
- transfer learning
- batch mode
- text classification
- image classification
- annotation effort
- high resolution computed tomography