Elias Zavitsanos

Focused PU learning from imbalanced data

This work proposes a new method of learning from positive and unlabeled (PU) examples in highly imbalanced datasets under two labeling mechanisms—selecting positives completely at random (SCAR) and selecting at random (SAR).