Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification.
Yeganeh MadadiVahid SeydiJian SunEdward ChaumSiamak YousefiPublished in: OMIA@MICCAI (2021)
Keyphrases
- ensemble learning
- domain adaptation
- image classification
- unlabeled data
- labeled data
- ensemble methods
- semi supervised learning
- generalization ability
- semi supervised
- cross domain
- image features
- multiple sources
- base classifiers
- feature extraction
- sentiment classification
- random forest
- target domain
- multi label
- active learning
- test data
- learning algorithm
- concept drift
- training data
- supervised learning
- transfer learning
- neural network
- text classification
- machine learning
- text categorization
- information retrieval
- domain specific
- pattern recognition