This paper describes the development of a software tool for detection of vulnerabilities in networked systems, using public available security resources. Our tool builds is knowle...
Abstract-- Information about the topology and link-level characteristics of a network is critical for many applications including network diagnostics and management. However, this ...
—This study of collective behavior is to understand how individuals behave in a social networking environment. Oceans of data generated by social media like Facebook, Twitter, Fl...
In this paper, we propose a two-dimensional active learning scheme and show its application in image classification. Traditional active learning methods select samples only along ...
Functional Magnetic Resonance Imaging (MRI) is today one of the most important non-invasive tools to study the brain from a functional point of view. The blood-oxygenation-level-d...