Christian Gruhl
Title
Cited by
Cited by
Year
A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection
C Gruhl, B Sick, A Wacker, S Tomforde, J Hähner
2015 IEEE 7th International Conference on Awareness Science and Technology …, 2015
252015
Self-improving system integration-status and challenges after five years of SISSY
K Bellman, J Botev, A Diaconescu, L Esterle, C Gruhl, C Landauer, ...
2018 IEEE 3rd International Workshops on Foundations and Applications of …, 2018
242018
" Know Thyself"-Computational Self-Reflection in Intelligent Technical Systems
S Tomforde, J Hähner, S von Mammen, C Gruhl, B Sick, K Geihs
2014 IEEE Eighth International Conference on Self-Adaptive and Self …, 2014
192014
Novelty detection with CANDIES: a holistic technique based on probabilistic models
C Gruhl, B Sick
International Journal of Machine Learning and Cybernetics 9 (6), 927-945, 2018
112018
Self-improving system integration-on a definition and characteristics of the challenge
KL Bellman, C Gruhl, C Landauer, S Tomforde
2019 IEEE 4th International Workshops on Foundations and Applications of …, 2019
102019
CHARIOT-towards a continuous high-level adaptive runtime integration testbed
CM Barnes, K Bellman, J Botev, A Diaconescu, L Esterle, C Gruhl, ...
2019 IEEE 4th International Workshops on Foundations and Applications of …, 2019
72019
Multi-k-resilience in distributed adaptive cyber-physical systems
H Heck, C Gruhl, S Rudolph, A Wacker, B Sick, J Haehner
ARCS 2016; 29th International Conference on Architecture of Computing …, 2016
62016
Towards automation of knowledge understanding: An approach for probabilistic generative classifiers
D Fisch, C Gruhl, E Kalkowski, B Sick, SJ Ovaska
Information Sciences 370, 476-496, 2016
52016
Towards autonomous self-tests at runtime
H Heck, S Rudolph, C Gruhl, A Wacker, J Hähner, B Sick, S Tomforde
2016 IEEE 1st International Workshops on Foundations and Applications of …, 2016
52016
Aspects of measuring and evaluating the integration status of a (sub-) system at runtime
C Gruhl, S Tomforde, B Sick
2018 IEEE 3rd International Workshops on Foundations and Applications of …, 2018
42018
Self-adapting generative modeling techniques-a basic building block for many organic computing techniques
C Gruhl
Organic Computing Doctoral Colloquium, 99-110, 2014
32014
A concept for intelligent collaborative network intrusion detection
C Gruhl, F Beer, H Heck, B Sick, U Buehler, A Wacker, S Tomforde
ARCS 2017; 30th International Conference on Architecture of Computing …, 2017
22017
Machine learning in organic computing–a brief clarification of terms and concepts
M Bieshaar, A Calma, C Gruhl, S Rudolph, A Stein
22017
Variational Bayesian inference for hidden Markov models with multivariate Gaussian output distributions
C Gruhl, B Sick
arXiv preprint arXiv:1605.08618, 2016
22016
Detecting Novel Processes with CANDIES--An Holistic Novelty Detection Technique based on Probabilistic Models
C Gruhl, B Sick
arXiv preprint arXiv:1605.05628, 2016
22016
A Concept for Self-adapting and Self-learning Traffic Offloading in Cellular Networks
S Tomforde, C Gruhl, J Haehner
ARCS 2017; 30th International Conference on Architecture of Computing …, 2017
12017
Anomalies in Generative Trajectory Models–Discovering Suspicious Traces with Novelty Detection Methods
C Gruhl
Organic Computing: Doctoral Dissertation Colloquium 2015 7, 95, 2015
12015
A Swarm-fleet Infrastructure as a Scenario for Proactive, Hybrid Adaptation of System Behaviour
S Tomforde, C Gruhl, B Sick
2020 IEEE International Conference on Autonomic Computing and Self …, 2020
2020
Normal-Wishart Clustering for Novelty Detection
C Gruhl, J Schmeiβing, S Tomforde, B Sick
2020 IEEE International Conference on Autonomic Computing and Self …, 2020
2020
Fairness, Performance, and Robustness: Is There a CAP Theorem for Self-adaptive and Self-organising Systems?
S Tomforde, C Gruhl
2020 IEEE International Conference on Autonomic Computing and Self …, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–20