This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
The contribution presents a multi-agent technology in the domain of the air-traffic control of several autonomous aerial vehicles (manned as well as unmanned). The system has been...
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
This paper develops new algorithms for coalition formation within multi-sensor networks tasked with performing widearea surveillance. Specifically, we cast this application as an ...
Viet Dung Dang, Rajdeep K. Dash, Alex Rogers, Nich...