Abstract: Imbalanced datasets pose significant challenges to classification tasks, as traditional classifiers often favor majority classes. Although numerous methods have been proposed to balance data ...

Abstract: This paper addresses the challenge of reliably selecting high-performing solutions in simulation optimization when model parameters are uncertain. We infer the set of solutions whose ...