Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification.
Yeganeh MadadiVahid SeydiJian SunEdward ChaumSiamak YousefiPublished in: CoRR (2022)
Keyphrases
- ensemble learning
- domain adaptation
- image classification
- unlabeled data
- labeled data
- semi supervised
- generalization ability
- cross domain
- semi supervised learning
- ensemble methods
- feature extraction
- base classifiers
- image features
- multiple sources
- random forest
- transfer learning
- active learning
- text classification
- concept drift
- test data
- multi label
- target domain
- sentiment classification
- multi class
- text categorization
- neural network
- supervised learning
- feature selection
- training set
- machine learning
- training data
- data points
- classification accuracy
- data sources
- high resolution