Large-scale distributed systems have dense, complex code-bases that are assumed to perform multiple and inter-dependent tasks while user interaction is present. The way users inte...
Angelos Stavrou, Gabriela F. Cretu-Ciocarlie, Mich...
Background: Mass spectrometry protein profiling is a promising tool for biomarker discovery in clinical proteomics. However, the development of a reliable approach for the separat...
The Snort intrusion detection system is a widely used and well-regarded open sourcesystem used for the detection of malicious activity in conventional wired networks. Recently, so...
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-ta...
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...