| Self-improving system integration: Mastering continuous change K Bellman, J Botev, A Diaconescu, L Esterle, C Gruhl, C Landauer, ... Future Generation Computer Systems 117, 29-46, 2021 | 63 | 2021 |
| Novelty detection in continuously changing environments C Gruhl, B Sick, S Tomforde Future Generation Computer Systems 114, 138-154, 2021 | 48 | 2021 |
| 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 | 46 | 2015 |
| 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 | 41 | 2018 |
| " 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 | 37 | 2014 |
| 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 | 30 | 2019 |
| Novelty detection with CANDIES: a holistic technique based on probabilistic models C Gruhl, B Sick International Journal of Machine Learning and Cybernetics 9, 927-945, 2018 | 21 | 2018 |
| 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 | 20 | 2019 |
| Anomaly based resilient network intrusion detection using inferential autoencoders A Hannan, C Gruhl, B Sick 2021 IEEE International Conference on Cyber Security and Resilience (CSR), 1-7, 2021 | 12 | 2021 |
| 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 | 11 | 2018 |
| 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 | 11 | 2016 |
| Variational Bayesian inference for hidden Markov models with multivariate Gaussian output distributions C Gruhl, B Sick arXiv preprint arXiv:1605.08618, 2016 | 10 | 2016 |
| 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 | 9 | 2020 |
| 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 | 9 | 2016 |
| The problem with real-world novelty detection-issues in multivariate probabilistic models C Gruhl, A Hannan, Z Huang, C Nivarthi, S Vogt 2021 IEEE international conference on autonomic computing and self …, 2021 | 8 | 2021 |
| DADO–Low-cost query strategies for deep active design optimization J Decke, C Gruhl, L Rauch, B Sick 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | 7 | 2023 |
| Explicit consideration of resilience in organic computing design processes S Tomforde, P Gelhausen, C Gruhl, I Häring, B Sick ARCS Workshop 2019; 32nd International Conference on Architecture of …, 2019 | 7 | 2019 |
| 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 | 7 | 2017 |
| 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 | 7 | 2016 |
| NDNET: a unified framework for anomaly and novelty detection J Decke, J Schmeißing, D Botache, M Bieshaar, B Sick, C Gruhl International Conference on Architecture of Computing Systems, 197-210, 2022 | 6 | 2022 |
Bernhard SickProfessor of Intelligent Embedded Systems, University of Kasselایمیل تأیید شده در uni-kassel.de