In this paper, we propose an architecture for adaptive real-time workflow-based collaborative system. Such a system is needed to support real-time communication and sharing of inf...
The research field of transportation demand forecasting has started to focus on disaggregate travel behavior and micro-simulation models. To create data infrastructure, disaggrega...
Ali Frihida, Danielle J. Marceau, Marius Thé...
e [43] is the first paper on final, observational semantics in abstract data types, and the main reference for one of the MoC contributed papers in this volume. It presented severa...
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
In this paper we introduce an algorithm for simplifying a 2D discrete region. This algorithm is based on a bipolar model of regions. Given a discrete region, we cut its Voronoi di...