An Ensemble-based Active Learning for Breast Cancer Classification.
Sanghoon LeeMohamed AmgadMohamed MasoudRajasekaran SubramanianDavid A. GutmanLee A. D. CooperPublished in: BIBM (2019)
Keyphrases
- cancer classification
- random forest
- active learning
- gene selection
- microarray
- feature selection
- cancer diagnosis
- gene expression profiling
- ensemble learning
- ensemble methods
- training set
- learning algorithm
- decision trees
- microarray data
- gene expression data
- gene expression profiles
- machine learning
- colon cancer
- base classifiers
- feature ranking
- unlabeled data
- fold cross validation
- feature set
- semi supervised
- training examples
- semi supervised learning
- supervised learning
- neural network
- labeled data
- feature space
- learning process
- feature extraction
- gene expression
- data sets
- dimensionality reduction
- multi class
- chi square
- training data