The increasing complexity of configurable software systems creates a need for more intelligent sampling mechanisms to detect and locate failure-inducing dependencies between confi...
Adam A. Porter, Myra B. Cohen, Sandro Fouché...
Automated bot/botnet detection is a difficult problem given the high level of attacker power. We propose a systematic approach for evaluating the evadability of detection methods....
Automatic detection of communication errors in conversational systems has been explored extensively in the speech community. However, most previous studies have used only acoustic...
Abstract. The orientation of conversational robots to face their interlocutors is essential for natural and efficient Human-Robot Interaction (HRI). In this paper, progress towards...
In this demo, we present Nile-PDT, a Phenomenon Detection and Tracking framework using the Nile data stream management system. A phenomenon is characterized by a group of streams ...
Mohamed H. Ali, Walid G. Aref, Raja Bose, Ahmed K....