The classification of encrypted traffic on the fly from network traces represents a particularly challenging application domain. Recent advances in machine learning provide the opp...
Designing Application-Specific Instruction-set Processors (ASIPs) usually requires designing a custom datapath, and modifying instruction-set, instruction decoder, and compiler. A...
A key challenge faced by large-scale, distributed applications in Grid environments is efficient, seamless data management. In particular, for applications that can benefit from a...
Jithendar Paladugula, Ming Zhao 0002, Renato J. O....
In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, qua...
Johannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz...
Abstract. Many simulation-based performance studies of interconnection networks are carried out using synthetic workloads under the assumption of independent traffic sources. We sh...