We discuss research issues and models for vulnerabilities and threats in distributed computing systems. We present four diverse approaches to reducing system vulnerabilities and th...
Background: High-density short oligonucleotide microarrays are a primary research tool for assessing global gene expression. Background noise on microarrays comprises a significan...
Static analysis has gained much attention over the past few years in applications such as bug finding and program verification. As software becomes more complex and componentize...
Xiaolan Zhang, Larry Koved, Marco Pistoia, Sam Web...
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...