N. Khamis

Robust adaptive feature selection for imbalanced software defect prediction

An adaptive feature selection approach to construct structured and discriminative feature subsets that remain effective across diverse datasets and learning models is proposed and shows that the performance gains are attributable to efficient, interpretable feature subsets, highlighting the importance of robustness-ori...