We present automated, real-time models built with machine learning algorithms which use videotapes of subjects' faces in conjunction with physiological measurements to predic...
Jeremy N. Bailenson, Emmanuel D. Pontikakis, Iris ...
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Fixing runtime bugs in long running programs using trace based analyses such as dynamic slicing was believed to be prohibitively expensive. In this paper, we present a novel execu...
In this paper, we investigate the impact of radio irregularity on the communication performance in wireless sensor networks. Radio irregularity is a common phenomenon which arises...
Gang Zhou, Tian He, Sudha Krishnamurthy, John A. S...
Network managers are inevitably called upon to associate network traffic with particular applications. Indeed, this operation is critical for a wide range of management functions...
Justin Ma, Kirill Levchenko, Christian Kreibich, S...