Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...
The cost of damage caused by flooding is directly related to the warning-time given before a flood occurs. Therefore, improving the coverage, accuracy and reliability of flood pre...
Danny Hughes, Phil Greenwood, Geoff Coulson, Gordo...
Collecting supervised training data for automatic speech recognition (ASR) systems is both time consuming and expensive. In this paper we use the notion of virtual evidence in a g...
The vast amount of data now collected on human beings and organizations as a result of cyberinfrastructure advances has created similarly vast opportunities for social sc...
An accurate and up-to-date diagnostic model is critical for economic aircraft engine operation. However, for many commercial airline fleets, monitoring and diagnosing engine fault...
LiJie Yu, Daniel J. Cleary, Mark D. Osborn, Vrinda...