Welcome to the website of the Intelligent Embedded Systems (IES) Lab at the University of Kassel, Germany.
We develop and apply innovative techniques that increase the “machine intelligence” of embedded computer systems.
A computer system can be characterized as being “intelligent” if it is aware of its own skills and needs and if it is able to use this knowledge to maintain or even to improve its abilities in a dynamic environment. Moreover, if such a system interacts with other, similar systems or humans, it must be aware of their skills and needs in order to communicate efficiently, to collaborate with them, or to behave pro-actively. Thus, machine learning is a key issue in our work. Some other topics are soft computing, pattern recognition, data mining, specification techniques for embedded systems, and real-time systems.
If you are interested in our work, do not hesitate to drop us a line. We will be happy to answer your questions.
The journal article “Temporal Data Mining Using Shape Space Representations of Time Series” (E. Fuchs, T. Gruber, H. Pree, B. Sick) has been accepted for publication by Elsevier's "Neurocomputing" journal.
The journal article “On the Versatility of Radial Basis Function Neural Networks: A Case Study in the Field of Intrusion Detection” (D. Fisch, A. Hofmann, B. Sick) has been accepted for publication by Elsevier's "Information Sciences" journal.
The journal article “SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis” (D. Fisch, T. Gruber, B. Sick) has been accepted for publication by the IEEE Transactions on Knowledge and Data Engineering.
To all our students, friends, colleagues and fellow CISers: We wish you some restful days – without emails! See you next year!
Tobias Reitmaier joins the CIS team as research associate. He is working in the field of collaborative data mining and knowledge discovery.
Professor Seppo J. Ovaska from the Helsinki University of Technology in Finland is guest of the CIS Lab for one week. We develop criteria to assess the “interestingness” of knowledge found with data mining techniques.
Fabian Förg joins the CIS team as a student assistant. He will be responsible for the tutorials on "Schaltnetze und Schaltwerke".
Raphael Hoffmann from the University of Washington in Seattle will be guest of the CIS Lab during this winter term. Welcome!
The journal article “On-Line Signature Verification with Support Vector Machines Based on LCSS Kernel Functions” (C. Gruber, T. Gruber, S. Krinninger, B. Sick) has been accepted for publication by the IEEE Transactions on Systems, Man, and Cybernetics – Part B (Cybernetics).
The journal article “On-line Segmentation of Time Series Based on Polynomial Least-Squares Approximations” (E. Fuchs, T. Gruber, J. Nitschke, B. Sick) has been accepted for publication by the IEEE Transactions on Pattern Analysis and Machine Intelligence.