: The problem of patient scheduling in hospitals is characterized by high uncertainty and dynamics in patient treatments. Additional complexity in the planning and coordination pro...
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Cluster computing has become an essential issue for designing immersive visualization systems. This paradigm employs scalable clusters of commodity computers with much lower costs...
Pedro Morillo, Aron Bierbaum, Patrick Hartling, Ma...
We present a scalable framework for parallelizing greedy graph coloring algorithms on distributed-memory computers. The framework unifies several existing algorithms and blends a ...
Doruk Bozdag, Assefaw Hadish Gebremedhin, Fredrik ...
Service composition is emerging as an important paradigm for constructing distributed applications by combining and reusing independently developed component services. One key issu...