TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in vitro to in vivo settings.
Rafael Peres da SilvaChayaporn SuphavilaiNiranjan NagarajanPublished in: Bioinform. (2021)
Keyphrases
- domain adaptation
- magnetic resonance spectroscopy
- cross domain
- multiple sources
- labeled data
- sentiment classification
- semi supervised
- prostate cancer
- tissue characterization
- target domain
- document classification
- transfer learning
- manifold alignment
- data sets
- semi supervised learning
- training data
- text classification
- feature representation
- supervised learning
- data model
- database systems
- decision trees
- information retrieval
- covariate shift
- machine learning