Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.
Roohallah AlizadehsaniDanial SharifraziNavid Hosseini IzadiJavad Hassannataj JoloudariAfshin ShoeibiJuan Manuel GórrizSadiq HussainJuan Eloy ArcoZahra Alizadeh SaniFahime KhozeimehAbbas KhosraviSaeid NahavandiSheikh Mohammed Shariful IslamU. Rajendra AcharyaPublished in: CoRR (2021)
Keyphrases
- synthetic data
- semi supervised
- test data
- training data
- statistical methods
- input data
- information loss
- noisy data
- detection method
- data collection
- pairwise
- high dimensional data
- semi supervised learning
- probability distribution function
- missing values
- training samples
- data sets
- high quality
- significant improvement
- image data
- data analysis
- correlation analysis
- uncertain data
- prior information
- objective function
- training set
- prior knowledge
- data sources
- unsupervised learning
- data distribution
- missing data
- probability distribution
- database
- feature extraction
- labeled data
- label information
- labeled and unlabeled data
- semi supervised classification
- partially labeled