With the rise of community-generated web content, the need for automatic assessment of resource quality has grown, particularly in the realm of educational digital libraries. We d...
Philipp G. Wetzler, Steven Bethard, Kirsten R. But...
: Network games play a fundamental role in understanding behavior in many domains, ranging from communication networks through markets to social networks. Such networks are used, a...
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
We propose a hierarchy-driven approach to facilitate student learning and foster a deeper understanding of the importance of attack patterns in computer, network, and software sec...