In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
We investigate a practical approach to solving one instantiation of a distributed hypothesis testing problem under severe rate constraints that shows up in a wide variety of appli...
Abstract. This paper extends dynamic symbolic execution to distributed and concurrent systems. Dynamic symbolic execution can be used in software testing to systematically identify...
Andreas Griesmayer, Bernhard K. Aichernig, Einar B...
Although many of the software engineering activities can now be model-supported, the model is often missing in software development. We are interested in retrieving statemachine m...
— New technologies and processes enhance the need for direct human-robot-interaction, to fully exploit the potential of robots’ accuracy and humans’ adaptability. Therefore, ...