Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
The intrinsic complexity of most protocol speci cations in particular, and of asynchronous systems in general, lead us to study combinations of static analysis with classical model...
Marius Bozga, Jean-Claude Fernandez, Lucian Ghirvu
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
We give the first systematic investigation of the design space of worm defense system strategies. We accomplish this by g a taxonomy of defense strategies by abstracting away impl...
David Brumley, Li-Hao Liu, Pongsin Poosankam, Dawn...