The ability to detect and differentiate breakpoints during task execution is critical for enabling defer-to-breakpoint policies within interruption management. In this work, we ex...
Hobby chefs have various ways to learn cooking—paper recipes or cooking shows, for example. However, information in paper recipes may require prior experience to be understood a...
Sarah Mennicken, Thorsten Karrer, Peter Russell, J...
Research on automatic sign language recognition (ASLR) has mostly been conducted from a machine learning perspective. We propose to implement results from human sign recognition st...
Gineke A. ten Holt, Marcel J. T. Reinders, Emile A...
This paper addresses the diffusion of Knowledge Management concepts, principles, and cases into university courses. Although we are now living in a world of gigabit transmission s...
We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...