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ORCIDChristian Gruhl
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2020 – today
- 2024
[c29]Jens Decke, Florian Gerland, Thomas Schomberg, Olaf Wünsch, Bernhard Sick, Christian Gruhl:
Self-Aware Control for Autonomous Underwater Vehicles. ACSOS-C 2024: 13-14- [c28]Jens Decke
, Arne Jenß, Bernhard Sick, Christian Gruhl:
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. ARCS 2024: 51-66 - [c27]Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl:
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in Solving Mesh-Based PDEs. ARCS 2024: 82-96 - [c26]Jens Decke, Alexander Heinen, Bernhard Sick, Christian Gruhl:
Active Learning with Physics-Informed Graph Neural Networks on Unstructured Meshes. IAL@PKDD/ECML 2024: 68-76 - [c25]Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Bernhard Sick, Christian Gruhl:
Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction. ICPR (27) 2024: 1-21 - [c24]Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Christian Gruhl, Bernhard Sick:
Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction. IJCNN 2024: 1-9 - [c23]Chandana Priya Nivarthi, Zhixin Huang, Christian Gruhl, Bernhard Sick:
Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection. IJCNN 2024: 1-10 - [i8]Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl:
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. CoRR abs/2406.00080 (2024) - [i7]Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl:
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs. CoRR abs/2406.00081 (2024) - [i6]Martin Braun, Christian Gruhl, Christian A. Hans, Philipp Härtel, Christoph Scholz, Bernhard Sick, Malte Siefert, Florian Steinke, Olaf Stursberg, Sebastian Wende-von Berg:
Predictions and Decision Making for Resilient Intelligent Sustainable Energy Systems. CoRR abs/2407.03021 (2024) - 2023
- [c22]Christian Gruhl, Bernhard Sick:
Self- Integration and Agent Compatibility. ACSOS-C 2023: 71-73 - [c21]Lukas Esterle, Nikil D. Dutt, Christian Gruhl, Peter R. Lewis, Lucio Marcenaro, Carlo S. Regazzoni, Axel Jantsch:
Self-awareness in Cyber-Physical Systems: Recent Developments and Open Challenges. DATE 2023: 1-6 - [c20]Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick:
DADO - Low-Cost Query Strategies for Deep Active Design Optimization. ICMLA 2023: 1611-1618 - [i5]Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick:
DADO - Low-Cost Selection Strategies for Deep Active Design Optimization. CoRR abs/2307.04536 (2023) - 2022
- [b1]Christian Gruhl:
Novelty detection for multivariate data streams with probabilistic models. University of Kassel, Germany, 2022, ISBN 978-3-7376-1038-4, pp. 1-381 - [j6]Christian Krupitzer, Christian Gruhl, Bernhard Sick, Sven Tomforde:
Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario. Inf. Softw. Technol. 145: 106826 (2022) - [j5]Claude Draude, Christian Gruhl, Gerrit Hornung, Jonathan Kropf, Jörn Lamla, Jan Marco Leimeister, Bernhard Sick, Gerd Stumme:
Social Machines. Inform. Spektrum 45(1): 38-42 (2022) - [c19]Ghassan Al-Falouji, Christian Gruhl, Torben Neumann, Sven Tomforde:
A Heuristic for an Online Applicability of Anomaly Detection Techniques. ACSOS-C 2022: 107-112 - [c18]Christian Gruhl, Sven Tomforde, Bernhard Sick:
Self-Aware Microsystems. ACSOS-C 2022: 126-127 - [c17]Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick, Christian Gruhl:
NDNET: A Unified Framework for Anomaly and Novelty Detection. ARCS 2022: 197-210 - 2021
- [j4]Christian Gruhl, Bernhard Sick, Sven Tomforde:
Novelty detection in continuously changing environments. Future Gener. Comput. Syst. 114: 138-154 (2021) - [j3]Kirstie L. Bellman, Jean Botev, Ada Diaconescu, Lukas Esterle, Christian Gruhl, Christopher Landauer, Peter R. Lewis, Phyllis R. Nelson, Evangelos Pournaras, Anthony Stein, Sven Tomforde:
Self-improving system integration: Mastering continuous change. Future Gener. Comput. Syst. 117: 29-46 (2021) - [c16]Ghassan Al-Falouji, Christian Gruhl, Sven Tomforde:
Digital Shadows in Self-Improving System Integration: A Concept U sing Generative Modelling. ACSOS-C 2021: 166-171 - [c15]Christian Gruhl, Sven Tomforde:
OHODIN - Online Anomaly Detection for Data Streams. ACSOS-C 2021: 193-197 - [c14]Christian Gruhl, Abdul Hannan, Zhixin Huang, Chandana Nivarthi, Stephan Vogt:
The Problem with Real-World Novelty Detection - Issues in Multivariate Probabilistic Models. ACSOS-C 2021: 204-209 - [c13]Abdul Hannan, Christian Gruhl, Bernhard Sick:
Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders. CSR 2021: 1-7 - [i4]Inga Löser, Martin Braun, Christian Gruhl, Jan-Hendrik Menke, Bernhard Sick, Sven Tomforde:
Towards Organic Distribution Systems - The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management. CoRR abs/2112.07507 (2021) - 2020
- [c12]Sven Tomforde, Christian Gruhl:
Fairness, Performance, and Robustness: Is There a CAP Theorem for Self-adaptive and Self-organising Systems? ACSOS Companion 2020: 54-59 - [c11]Christian Gruhl, Jörn Schmeißing, Sven Tomforde, Bernhard Sick:
Normal-Wishart Clustering for Novelty Detection. ACSOS Companion 2020: 64-69 - [c10]Sven Tomforde, Christian Gruhl, Bernhard Sick:
A Swarm-fleet Infrastructure as a Scenario for Proactive, Hybrid Adaptation of System Behaviour. ACSOS Companion 2020: 166-169 - [c9]Florian Heidecker, Christian Gruhl, Bernhard Sick:
Novelty Based Driver Identification on RR Intervals from ECG Data. ICPR Workshops (4) 2020: 407-421 - [c8]Tuan Pham Minh, Daniel Kottke, Anna Tsarenko, Christian Gruhl, Bernhard Sick:
Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c7]Kirstie L. Bellman, Christian Gruhl, Christopher Landauer, Sven Tomforde:
Self-Improving System Integration - On a Definition and Characteristics of the Challenge. FAS*W@SASO/ICAC 2019: 1-3 - [c6]Chloe M. Barnes, Kirstie L. Bellman, Jean Botev, Ada Diaconescu, Lukas Esterle, Christian Gruhl, Christopher Landauer, Peter R. Lewis, Phyllis R. Nelson, Anthony Stein, Christopher Stewart, Sven Tomforde:
CHARIOT - Towards a Continuous High-Level Adaptive Runtime Integration Testbed. FAS*W@SASO/ICAC 2019: 52-55 - 2018
- [j2]Christian Gruhl, Bernhard Sick:
Novelty detection with CANDIES: a holistic technique based on probabilistic models. Int. J. Mach. Learn. Cybern. 9(6): 927-945 (2018) - [c5]Kirstie L. Bellman, Jean Botev, Ada Diaconescu, Lukas Esterle, Christian Gruhl, Christopher Landauer, Peter R. Lewis, Anthony Stein, Sven Tomforde, Rolf P. Würtz:
Self-Improving System Integration - Status and Challenges after Five Years of SISSY. FAS*W@SASO/ICAC 2018: 160-167 - [c4]Christian Gruhl, Sven Tomforde, Bernhard Sick:
Aspects of Measuring and Evaluating the Integration Status of a (Sub-)System at Runtime. FAS*W@SASO/ICAC 2018: 198-203 - 2016
- [j1]Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska:
Towards automation of knowledge understanding: An approach for probabilistic generative classifiers. Inf. Sci. 370-371: 476-496 (2016) - [c3]Henner Heck, Stefan Rudolph, Christian Gruhl, Arno Wacker, Jörg Hähner, Bernhard Sick, Sven Tomforde:
Towards Autonomous Self-Tests at Runtime. FAS*W@SASO/ICCAC 2016: 98-99 - [i3]Christian Gruhl, Bernhard Sick:
Detecting Novel Processes with CANDIES - An Holistic Novelty Detection Technique based on Probabilistic Models. CoRR abs/1605.05628 (2016) - [i2]Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska:
Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers. CoRR abs/1605.06377 (2016) - [i1]Christian Gruhl, Bernhard Sick:
Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions. CoRR abs/1605.08618 (2016) - 2015
- [c2]Christian Gruhl, Bernhard Sick, Arno Wacker, Sven Tomforde, Jörg Hähner:
A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection. iCAST 2015: 194-200 - 2014
- [c1]Sven Tomforde, Jörg Hähner, Sebastian von Mammen, Christian Gruhl, Bernhard Sick, Kurt Geihs:
"Know Thyself" - Computational Self-Reflection in Intelligent Technical Systems. SASO Workshops 2014: 150-159
Coauthor Index
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