Christian Gruhl

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 36

Top Topics

Intrusion Detection

Technical Systems

Novelty Detection

Hybrid Learning

Top Venues

FAS*W@SASO/ICAC

ACSOS Companion

Publications

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)
Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. ARCS (2024)
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 (2024)
Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. CoRR (2024)
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 (2024)
Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
DADO - Low-Cost Selection Strategies for Deep Active Design Optimization. CoRR (2023)
Christian Gruhl, Bernhard Sick
Self- Integration and Agent Compatibility. ACSOS-C (2023)
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)
Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
DADO - Low-Cost Query Strategies for Deep Active Design Optimization. ICMLA (2023)
Claude Draude, Christian Gruhl, Gerrit Hornung, Jonathan Kropf, Jörn Lamla, Jan Marco Leimeister, Bernhard Sick, Gerd Stumme
Social Machines. Inform. Spektrum 45 (1) (2022)
Ghassan Al-Falouji, Christian Gruhl, Torben Neumann, Sven Tomforde
A Heuristic for an Online Applicability of Anomaly Detection Techniques. ACSOS-C (2022)
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 (2022)
Christian Gruhl, Sven Tomforde, Bernhard Sick
Self-Aware Microsystems. ACSOS-C (2022)
Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick, Christian Gruhl
NDNET: A Unified Framework for Anomaly and Novelty Detection. ARCS (2022)
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 (2021)
Ghassan Al-Falouji, Christian Gruhl, Sven Tomforde
Digital Shadows in Self-Improving System Integration: A Concept U sing Generative Modelling. ACSOS-C (2021)
Abdul Hannan, Christian Gruhl, Bernhard Sick
Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders. CSR (2021)
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)
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 (2021)
Christian Gruhl, Bernhard Sick, Sven Tomforde
Novelty detection in continuously changing environments. Future Gener. Comput. Syst. 114 (2021)
Christian Gruhl, Sven Tomforde
OHODIN - Online Anomaly Detection for Data Streams. ACSOS-C (2021)
Christian Gruhl, Jörn Schmeißing, Sven Tomforde, Bernhard Sick
Normal-Wishart Clustering for Novelty Detection. ACSOS Companion (2020)
Florian Heidecker, Christian Gruhl, Bernhard Sick
Novelty Based Driver Identification on RR Intervals from ECG Data. ICPR Workshops (4) (2020)
Tuan Pham Minh, Daniel Kottke, Anna Tsarenko, Christian Gruhl, Bernhard Sick
Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning. IJCNN (2020)
Sven Tomforde, Christian Gruhl, Bernhard Sick
A Swarm-fleet Infrastructure as a Scenario for Proactive, Hybrid Adaptation of System Behaviour. ACSOS Companion (2020)
Sven Tomforde, Christian Gruhl
Fairness, Performance, and Robustness: Is There a CAP Theorem for Self-adaptive and Self-organising Systems? ACSOS Companion (2020)
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)
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)
Christian Gruhl, Bernhard Sick
Novelty detection with CANDIES: a holistic technique based on probabilistic models. Int. J. Mach. Learn. Cybern. 9 (6) (2018)
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)
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)
Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
Towards automation of knowledge understanding: An approach for probabilistic generative classifiers. Inf. Sci. (2016)
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)
Christian Gruhl, Bernhard Sick
Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions. CoRR (2016)
Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers. CoRR (2016)
Christian Gruhl, Bernhard Sick
Detecting Novel Processes with CANDIES - An Holistic Novelty Detection Technique based on Probabilistic Models. CoRR (2016)
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)
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)