This article proposes a novel data-driven adaptive robust optimization (ARO) framework based on principal component analysis (PCA). By performing PCA on uncertainty data, the correlations among ...

In this paper, we propose the principal component eigenspace based gap filling methods that leverage a training sample set for estimation. The proposed method is especially beneficial in the scenario ...

Chemicals may cause cardiotoxicity by binding to the K+ channel encoded by the human ether-à-go-go-related gene (hERG). Given the ever-increasing number of chemicals, developing in silico models to ...