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...
Most state of the art approaches for machine transliteration are data driven and require significant parallel names corpora between languages. As a result, developing transliterat...
Mitesh M. Khapra, A. Kumaran, Pushpak Bhattacharyy...
Understanding how users tailor their SPARQL queries is crucial when designing query evaluation engines or fine-tuning RDF stores with performance in mind. In this paper we analyz...
Abstract—In this paper, three approaches to utilizing objectlevel spatial contextual information for semantic image analysis are presented and comparatively evaluated. Contextual...
Georgios Th. Papadopoulos, Carsten Saathoff, Hugo ...
In this paper, we describe a tool to help holistically understand, research and analyze the relationship between an ecosystem model and the relevant laws. Specifically, a software...
Julia A. Ekstrom, Gloria T. Lau, Kincho H. Law, Ma...