Christian Gruhl

Address University of Kassel
Intelligent Embedded Systems
Wilhelmshöher Allee 67
34121 Kassel
Germany
Room 4107
Telephone +49 561 804 6186
E-mail address cgruhl@uni-kassel.de

[2019] [2018] [2017] [2016] [2015] [2014]

2019 [to top]

  • Barnes, C.M., Bellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., Lewis, P.R., Nelson, P.R., Stein, A., Stewart, C., Tomforde, S.: CHARIOT -- Towards a Continuous High-Level Adaptive Runtime Integration Testbed. 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W). pp. 52-55 (2019).
     
  • Bellman, K.L., Gruhl, C., Landauer, C., Tomforde, S.: Self-Improving System Integration -- On a Definition and Characteristics of the Challenge. 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W). p. 1--3 (2019).
     
  • Tomforde, S., Gelhausen, P., Gruhl, C., Haering, I., Sick, B.: Explicit Consideration of Resilience in Organic Computing Design Processes. ARCS Workshop 2019; 32nd International Conference on Architecture of Computing Systems. p. 1--6 (2019).
     

2018 [to top]

  • Gruhl, C., Sick, B.: Novelty detection with CANDIES: a holistic technique based on probabilistic models. Int. J. Machine Learning & Cybernetics. 9, 927--945 (2018).
     
  • Gruhl, C., Tomforde, S., Sick, B.: Aspects of Measuring and Evaluating the Integration Status of a (Sub-)System at Runtime. 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), Trento, Italy, September 3-7, 2018. p. 198--203 (2018).
     

2017 [to top]

  • Gruhl, C., Beer, F., Heck, H., Sick, B., Bühler, U., Wacker, A., Tomforde, S.: A Concept for Intelligent Collaborative Network Intrusion Detection. Self-Optimisation in Autonomic & Organic Computing Systems, ARCS Workshops. VDE (2017).
     
  • Gruhl, C.: Highly Autonomous Learning in Collaborative, Technical Systems. In: Tomforde, S. and Sick, B. (eds.) Organic Computing -- Doctoral Dissertation Colloquium 2017. kassel university press, Kassel, Germany (2017).
     

2016 [to top]

  • Gruhl, C.: Probabilistic Obsoleteness Detection for Gaussian Mixture Models. In: Tomforde, S. and Sick, B. (eds.) Organic Computing -- Doctoral Dissertation Colloquium 2016. p. 45--56. kassel university press, Kassel, Germany (2016).
     
  • Gruhl, C., Sick, B.: Detecting Novel Processes with CANDIES -- An Holistic Novelty Detection Technique based on Probabilistic Models. arXiv:1605.05628. 1--17 (2016).
     
  • Heck, H., Gruhl, C., Rudolph, S., Wacker, A., Sick, B., Hähner, J.: Multi-k-Resilience in Distributed Adaptive Cyber-Physical Systems. ARCS 2016. p. 1--8. VDE-Verlag, Nuremberg, Germany (2016).
     
  • Heck, H., Wacker, A., Rudolph, S., Gruhl, C., Sick, B., Tomforde, S.: Towards Autonomous Self-tests at Runtime. 2016 IEEE International Workshops on Foundations and Applications of Self* Systems. p. 98--99 (2016).
     
  • Gruhl, C., Sick, B.: Novelty detection with CANDIES: a holistic technique based on probabilistic models. International Journal of Machine Learning and Cybernetics. 9, 1--19 (2016).
     
  • Gruhl, C., Sick, B.: Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions. arXiv:1605.08618. 1--6 (2016).
     
  • Gruhl, C., Sick, B.: Detecting Novelty with CANDIES -- Improved Awareness Techniques Based on Probabilstic Knowledge Models. International Journal of Machine Learning and Cybernetics. 7, 1--19 (2016).
     
  • Fisch, D., Gruhl, C., Kalkowski, E., Sick, B., Ovaska, S.J.: Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers. Information Sciences. 370--371, 476--496 (2016).
     

2015 [to top]

  • Gruhl, C.: Anomalies in Generative Trajectory Models -- Discovering Suspicious Traces with Novelty Detection Methods. In: Tomforde, S. and Sick, B. (eds.) Organic Computing -- Doctoral Dissertation Colloquium 2015. p. 95--107. kassel university press, Kassel, Germany (2015).
     
  • Heck, H., Edenhofer, S., Gruhl, C., Lund, A., Shuka, R., Hähner, J.: On the Application Possibilities of Organic Computing Principles in Socio-technical Systems. In: Tomforde, S. and Sick, B. (eds.) Organic Computing -- Doctoral Dissertation Colloquium 2015. p. 165--170. kassel university press, Kassel, Germany (2015).
     
  • Gruhl, C., Sick, B., Wacker, A., Tomforde, S., Hähner, J.: A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection. IEEE International Conference on Awareness Science and Technology. p. 194--200. , Qinhuangdao, China (2015).
     

2014 [to top]

  • Tomforde, S., Hähner, J., von Mammen, S., Gruhl, C., Sick, B., Geihs, K.: ``Know thyself'' -- Computational Self-Reflection in Intelligent Technical Systems. IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops. , Braunschweig, Germany (2014).
     
  • Gruhl, C.: Self-Adapting Generative Modeling Techniques -- A Basic Building Block for Many Organic Computing Techniques. In: Tomforde, S. and Sick, B. (eds.) Organic Computing -- Doctoral Dissertation Colloquium 2014. p. 99--109. kassel university press, Kassel, Germany (2014).