The goal of our research is the development of algorithms for automatic estimation of a person's verbal intelligence based on the analysis of transcribed spoken utterances. I...
Kseniya Zablotskaya, Steffen Walter, Wolfgang Mink...
Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
The process engine for pattern recognition and information fusion tasks, the pepr framework, aims to empower the researcher to develop novel solutions in the field of pattern reco...
Volker Fritzsch, Stefan Scherer, Friedhelm Schwenk...
The vast amount of information freely available on the Web constitutes a unparalleled resource for the automatic knoweledge discovery and learning. In this paper we propose a study...
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...