Modeling and simulation frameworks for use in different application domains, throughout the complete development process, and in different hardware environments need to be highly ...
Jan Himmelspach, Roland Ewald, Adelinde M. Uhrmach...
Large scale ontology applications require efficient and robust description logic (DL) reasoning services. Expressive DLs usually have very high worst case complexity while tractab...
This paper presents the development of two related machine-learned models which predict (a) whether a student can answer correctly questions in an ILE without requesting help and (...
The problem of matching strings allowing errors has recently gained importance, considering the increasing volume of online textual data. In geotechnologies, approximate string mat...
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...