Abstract. We present a new technique for discovering and representing structural changes between two versions of a directed acyclic graph (DAG). Motivated by the necessity of chang...
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
In multicriteria optimization, several objective functions, conflicting with each other, have to be minimized simultaneously. We propose a new efficient method for approximating t...
We propose a new transform coding algorithm that integrates all optimization steps into a coherent and consistent framework. Each iteration of the algorithm is designed to minimiz...
Multiple applications that execute concurrently on heterogeneous platforms compete for CPU and network resources. In this paper, we consider the problem of scheduling applications ...
Olivier Beaumont, Larry Carter, Jeanne Ferrante, A...