Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.
Roohallah AlizadehsaniDanial SharifraziNavid Hoseini IzadiJavad Hassannataj JoloudariAfshin ShoeibiJuan Manuel GórrizSadiq HussainJuan Eloy ArcoZahra Alizadeh SaniFahime KhozeimehAbbas KhosraviSaeid NahavandiSheikh Mohammed Shariful IslamU. Rajendra AcharyaPublished in: ACM Trans. Multim. Comput. Commun. Appl. (2021)
Keyphrases
- synthetic data
- training data
- labeled data
- noisy data
- prior knowledge
- semi supervised
- test data
- statistical methods
- missing data
- training samples
- partially labeled
- prior information
- clustering method
- input data
- database
- pairwise
- data analysis
- image data
- label information
- unlabeled data
- knowledge discovery
- data points
- training examples
- data sets
- active learning
- uncertain data
- similarity measure
- missing values
- data distribution
- supervised learning
- probability distribution
- semi supervised learning
- multi view