Principles of the framework called time series forecasting automation are presented. It is required in processing massive temporal data sets and creating completely user-oriented f...
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
This paper discusses why the extensive scientific results on predicting embedded systems temporal behavior never, or very seldom, reaches the industrial community. We also point ou...
The environment around us is progressively equipped with various sensors, producing data continuously. The applications using these data face many challenges, such as data stream i...
The paper presents first results of a project that aims at building a model-based tool for functional testing of control software for passenger vehicles. The objective is that this...