Over the last two decades, robust optimization has emerged as a popular means to address decision-making problems affected by uncertainty. This includes single-stage and multi-stage involving real-valued and/or binary decisions exogenous (decision-independent) endogenous (decision-dependent) uncertain parameters. Robust techniques rely on duality theory potentially augmented with approximations...

Abstract Throughout science and technology, receiver operating characteristic (ROC) curves associated area under the curve ( $$\mathrm{AUC}$$ AUC ) measures constitute powerful tools for assessing predictive abilities of features, markers tests in binary classification problems. Despite its immense popularity...