Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets.
Jeremias SulamRami Ben-AriPavel KisilevPublished in: VCBM (2017)
Keyphrases
- deep learning
- restricted boltzmann machine
- classification accuracy
- unsupervised learning
- binary and multi class
- imbalanced datasets
- imbalanced data sets
- decision trees
- machine learning
- feature selection
- model selection
- class distribution
- roc curve
- feature vectors
- imbalanced data
- class imbalance
- image classification
- training set
- support vector
- pairwise
- unsupervised feature learning
- naive bayes
- support vector machine
- logistic regression
- weakly supervised
- training examples
- training data
- training samples
- learning algorithm
- data sets