The classification in class imbalanced data has drawn significant interest in medical
application. Most existing methods are prone to categorize the samples into the majority …

Ensemble methods aim at combining multiple learning machines to improve the efficacy in a
learning task in terms of prediction accuracy, scalability, and other measures. These …

The rate of acquiring biological data has greatly surpassed our ability to interpret it. At the
same time, we have started to understand that evolution of many diseases such as cancer …