We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
Abstract—Cheddar is a framework dedicated to the specification of real-time schedulers, and to their analysis by simulation. It is developed in Ada. Some parts of its modular ar...
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Evaluative arguments are pervasive in natural human communication. In countless situations people attempt to advise or persuade their interlocutors that something is desirable (vs...
Many applications can benefit from ubiquitous availability of multicast delivery. Unfortunately IP multicast coverage on the Internet is spotty at best, limited to individual camp...
Beichuan Zhang, Wenjie Wang, Sugih Jamin, Daniel M...