Boosting Deep Transfer Learning for COVID-19 Classification.
Fouzia AltafSyed M. S. IslamNaeem Khalid JanjuaNaveed AkhtarPublished in: CoRR (2021)
Keyphrases
- transfer learning
- machine learning
- text classification
- machine learning algorithms
- cross domain learning
- cross domain text classification
- cross domain
- learning tasks
- knowledge transfer
- labeled data
- active learning
- learning algorithm
- feature selection
- manifold alignment
- text mining
- transfer knowledge
- semi supervised learning
- multi class
- domain adaptation
- structure learning
- feature extraction
- supervised learning
- support vector
- reinforcement learning
- multi task
- training samples
- multi task learning
- recommender systems
- text categorization
- decision trees
- collaborative filtering
- weak classifiers
- feature vectors
- pairwise
- similarity measure
- document classification
- cross validation
- class labels
- feature space