ROC curves are one of the most widely used displays to evaluate performance of scoring functions. In the paper, we propose a statistical method for directly optimizing the ROC cur...
In this paper we address the the growing issue of junction tunneling leakage (Ijunc) at the circuit level. Specifically, we develop a fast approach to analyze the state-dependent ...
The nonuniform substrate thermal profile and process variations are two major concerns in the present-day ultradeep submicrometer designs. To correctly predict performance/ leakage...
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...