Dr. Christian Gruhl
Teamleiter: Self-Aware Microsystems (SAM)
- Telefon
- +49 561 804-6186
- cgruhl[at]uni-kassel[dot]de
- Standort
- Wilhelmshöher Allee 73
34121 Kassel
- Raum
- WA-altes Gebäude (WA 73), ohne Raumangabe
Publikationen
2024[ to top ]
- Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction. . In International Conference on Pattern Recognition (ICPR), bll 1–21. Springer, 2024.
- Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction. . In International Joint Conference on Neural Networks (IJCNN), bll 1–9. IEEE, 2024.
- Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection. . In International Joint Conference on Neural Networks (IJCNN), bll 1–10. IEEE, 2024.
- LiST: An All-Linear-Layer Spatial-Temporal Feature Extractor with Uncertainty Estimation for RUL Prediction. . In IEEE Conference on Industrial Electronics and Applications (ICIEA), bll 1–7. IEEE, 2024.
- From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs. . In International Conference on Architecture of Computing Systems (ARCS), bll 82–96. Springer, 2024.
- An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. . In International Conference on Architecture of Computing Systems (ARCS), bll 51–66. Springer, 2024.
2023[ to top ]
- Self-Integration and Agent Compatibility. . In Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), bll 71–73. IEEE, 2023.
- Self-awareness in Cyber-Physical Systems: Recent Developments and Open Challenges. . In Design, Automation & Test in Europe Conference & Exhibition (DATE), bll 1–6. IEEE, 2023.
- DADO – Low-Cost Query Strategies for Deep Active Design Optimization. . In International Conference on Machine Learning and Applications (ICMLA), bll 1611–1618. IEEE, 2023.
2022[ to top ]
- The Vision of Self-Management in Cognitive Organic Power Distribution Systems. . In Energies, 15(3), bl 881. MDPI, 2022.
- Social Machines. . In Informatik Spektrum, 45(1), bll 38–42. Springer, 2022.
- Self-Aware Microsystems. . In Workshop on Self-Improving System Integration (SISSY), ACSOS, bll 126–127. IEEE, 2022.
- Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario. . In Information and Software Technology, 145, bl 106826. Elsevier, 2022.
- NDNET: A Unified Framework for Anomaly and Novelty Detection. . In International Conference on Architecture of Computing Systems (ARCS), bll 197–210. Springer, 2022.
2021[ to top ]
- The Problem with Real-World Novelty Detection -- Issues in Multivariate Probabilistic Models. . In Workshop on Self-Improving System Integration (SISSY), ACSOS, bll 204–209. IEEE, 2021.
- Self-improving system integration: Mastering continuous change. . In Future Generation Computer Systems, 117, bll 29–46. Elsevier, 2021.
- OHODIN -- Online Anomaly Detection for Data Streams. . In Workshop on Self-Improving System Integration (SISSY), ACSOS, bll 193–197. IEEE, 2021.
- Novelty detection in continuously changing environments. . In Future Generation Computer Systems, 114, bll 138–154. Elsevier, 2021.
- Novelty based Driver Identification on RR Intervals from ECG Data. . In Workshop on Integrated Artificial Intelligence in Data Science, ICPR, bll 407–421. IEEE, Milan, Italy, 2021.
- Digital Shadows in Self-Improving System Integration: A Concept Using Generative Modelling. . In Workshop on Self-Improving System Integration (SISSY), ACSOS, bll 166–171. IEEE, 2021.
- Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders. . In IEEE International Conference on Cyber Security and Resilience (CSR), bll 1–7. IEEE, 2021.
2020[ to top ]
- Normal-Wishart clustering for novelty detection. . In Workshop on Self-Improving System Integration (SISSY), ACSOS, bll 64–69. IEEE, 2020.
- Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning. . In International Joint Conference on Neural Networks (IJCNN). IEEE, 2020.
- Fairness, performance, and robustness: is there a cap theorem for self-adaptive and self-organising systems?. . In Workshop on Self-Improving System Integration (SISSY), ACSOS, bll 54–59. IEEE, 2020.
- A swarm-fleet infrastructure as a scenario for proactive, hybrid adaptation of system behaviour. . In Workshop on Self -Aware Computing (SeAC), ACSOS, bll 166–169. IEEE, 2020.
2019[ to top ]
- Self-Improving System Integration -- On a Definition and Characteristics of the Challenge. . In Workshop on Self-Improving System Integration (SISSY), FAS*W, bll 1–3. IEEE, 2019.
- Explicit Consideration of Resilience in Organic Computing Design Processes. . In International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS, bll 1–6. VDE, 2019.
- CHARIOT -- Towards a Continuous High-Level Adaptive Runtime Integration Testbed. . In Workshop on Self-Improving System Integration (SISSY), FAS*W, bll 52–55. IEEE, 2019.
2018[ to top ]
- Novelty detection with CANDIES: a holistic technique based on probabilistic models. . In International Journal of Machine Learning and Cybernetics, 9(6), bll 927–945. Springer, 2018.
- Aspects of Measuring and Evaluating the Integration Status of a (Sub-)System at Runtime. . In Workshop on Self-Improving System Integration (SISSY), FAS*W, bll 198–203. IEEE, 2018.
2017[ to top ]
- Highly Autonomous Learning in Collaborative, Technical Systems. . In Organic Computing -- Doctoral Dissertation Colloquium 2017, S. Tomforde, B. Sick (reds.). kassel university press, Kassel, Germany, 2017.
- A Concept for Intelligent Collaborative Network Intrusion Detection. . In International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. VDE, 2017.
2016[ to top ]
- Towards Autonomous Self-tests at Runtime. . In IEEE International Workshop on Quality Assurance for Self-Adaptive, Self-Organising Systems (QA4SASO), FAS*W, bll 98–99. IEEE, 2016.
- Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers. . In Information Sciences, 370--371, bll 476–496. Elsevier, 2016.
- Probabilistic Obsoleteness Detection for Gaussian Mixture Models. . In Organic Computing -- Doctoral Dissertation Colloquium 2016, S. Tomforde, B. Sick (reds.), bll 45–56. kassel university press, Kassel, Germany, 2016.
- Multi-k-Resilience in Distributed Adaptive Cyber-Physical Systems. . In International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS, bll 1–8. VDE, Nuremberg, Germany, 2016.
2015[ to top ]
- On the Application Possibilities of Organic Computing Principles in Socio-technical Systems. . In Organic Computing -- Doctoral Dissertation Colloquium 2015, S. Tomforde, B. Sick (reds.), bll 165–170. kassel university press, Kassel, Germany, 2015.
- Anomalies in Generative Trajectory Models -- Discovering Suspicious Traces with Novelty Detection Methods. . In Organic Computing -- Doctoral Dissertation Colloquium 2015, S. Tomforde, B. Sick (reds.), bll 95–107. kassel university press, Kassel, Germany, 2015.
- A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection. . In IEEE International Conference on Awareness Science and Technology (iCAST), bll 194–200. IEEE, Qinhuangdao, China, 2015.
2014[ to top ]
- Self-Adapting Generative Modeling Techniques -- A Basic Building Block for Many Organic Computing Techniques. . In Organic Computing -- Doctoral Dissertation Colloquium 2014, S. Tomforde, B. Sick (reds.), bll 99–109. kassel university press, Kassel, Germany, 2014.
- "Know thyself" -- Computational Self-Reflection in Intelligent Technical Systems. . In Workshop on Self-Improving System Integration (SISSY), SASO. IEEE, Braunschweig, Germany, 2014.