Christian Gruhl

45 papers A 1B 3C 1Misc 1Journal 14Unranked 24
YearRankTypeTitle / Venue / Authors
2024 — conf
Active Learning with Physics-Informed Graph Neural Networks on Unstructured Meshes.
IAL@PKDD/ECML
Jens Decke, Alexander Heinen, Bernhard Sick, Christian Gruhl
2024 — conf
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing.
ARCS
Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl
2024 J jnl
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing.
CoRR
Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl
2024 — conf
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in Solving Mesh-Based PDEs.
ARCS
Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl
2024 J jnl
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs.
CoRR
Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl
2024 B conf
Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection.
IJCNN
Chandana Priya Nivarthi, Zhixin Huang, Christian Gruhl, Bernhard Sick
2024 — conf
Predictions and Decision Making for Resilient Intelligent Sustainable Energy Systems.
ISGT EUROPE
Martin Braun, Christian Gruhl, Christian A. Hans, Philipp Härtel, Christoph Scholz, Bernhard Sick, Malte Siefert, Florian Steinke, Olaf Stursberg, Sebastian Wende-von Berg
2024 J jnl
Predictions and Decision Making for Resilient Intelligent Sustainable Energy Systems.
CoRR
Martin Braun, Christian Gruhl, Christian A. Hans, Philipp Härtel, Christoph Scholz, Bernhard Sick, Malte Siefert, Florian Steinke, Olaf Stursberg, Sebastian Wende-von Berg
2024 — conf
Self-Aware Control for Autonomous Underwater Vehicles.
ACSOS-C
Jens Decke, Florian Gerland, Thomas Schomberg, Olaf Wünsch, Bernhard Sick, Christian Gruhl
2024 B conf
Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction.
IJCNN
Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Christian Gruhl, Bernhard Sick
2024 — conf
Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction.
ICPR (27)
Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Bernhard Sick, Christian Gruhl
2023 C conf
DADO - Low-Cost Query Strategies for Deep Active Design Optimization.
ICMLA
Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
2023 J jnl
DADO - Low-Cost Selection Strategies for Deep Active Design Optimization.
CoRR
Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
2023 — conf
Self- Integration and Agent Compatibility.
ACSOS-C
Christian Gruhl, Bernhard Sick
2023 A conf
Self-awareness in Cyber-Physical Systems: Recent Developments and Open Challenges.
DATE
Lukas Esterle, Nikil D. Dutt, Christian Gruhl, Peter R. Lewis, Lucio Marcenaro, Carlo S. Regazzoni, Axel Jantsch
2022 — conf
A Heuristic for an Online Applicability of Anomaly Detection Techniques.
ACSOS-C
Ghassan Al-Falouji, Christian Gruhl, Torben Neumann, Sven Tomforde
2022 — conf
NDNET: A Unified Framework for Anomaly and Novelty Detection.
ARCS
Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick, Christian Gruhl
2022 — —
Novelty detection for multivariate data streams with probabilistic models.
Christian Gruhl
2022 J jnl
Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario.
Inf. Softw. Technol.
Christian Krupitzer, Christian Gruhl, Bernhard Sick, Sven Tomforde
2022 — conf
Self-Aware Microsystems.
ACSOS-C
Christian Gruhl, Sven Tomforde, Bernhard Sick
2022 J jnl
Social Machines.
Inform. Spektrum
Claude Draude, Christian Gruhl, Gerrit Hornung, Jonathan Kropf, Jörn Lamla, Jan Marco Leimeister, Bernhard Sick, Gerd Stumme
2021 Misc conf
Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders.
CSR
Abdul Hannan, Christian Gruhl, Bernhard Sick
2021 — conf
Digital Shadows in Self-Improving System Integration: A Concept U sing Generative Modelling.
ACSOS-C
Ghassan Al-Falouji, Christian Gruhl, Sven Tomforde
2021 J jnl
Novelty detection in continuously changing environments.
Future Gener. Comput. Syst.
Christian Gruhl, Bernhard Sick, Sven Tomforde
2021 — conf
OHODIN - Online Anomaly Detection for Data Streams.
ACSOS-C
Christian Gruhl, Sven Tomforde
2021 J jnl
Self-improving system integration: Mastering continuous change.
Future Gener. Comput. Syst.
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
2021 — conf
The Problem with Real-World Novelty Detection - Issues in Multivariate Probabilistic Models.
ACSOS-C
Christian Gruhl, Abdul Hannan, Zhixin Huang, Chandana Nivarthi, Stephan Vogt
2021 J jnl
Towards Organic Distribution Systems - The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management.
CoRR
Inga Löser, Martin Braun, Christian Gruhl, Jan-Hendrik Menke, Bernhard Sick, Sven Tomforde
2020 — conf
A Swarm-fleet Infrastructure as a Scenario for Proactive, Hybrid Adaptation of System Behaviour.
ACSOS Companion
Sven Tomforde, Christian Gruhl, Bernhard Sick
2020 — conf
Fairness, Performance, and Robustness: Is There a CAP Theorem for Self-adaptive and Self-organising Systems?
ACSOS Companion
Sven Tomforde, Christian Gruhl
2020 B conf
Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning.
IJCNN
Tuan Pham Minh, Daniel Kottke, Anna Tsarenko, Christian Gruhl, Bernhard Sick
2020 — conf
Normal-Wishart Clustering for Novelty Detection.
ACSOS Companion
Christian Gruhl, Jörn Schmeißing, Sven Tomforde, Bernhard Sick
2020 — conf
Novelty Based Driver Identification on RR Intervals from ECG Data.
ICPR Workshops (4)
Florian Heidecker, Christian Gruhl, Bernhard Sick
2019 — conf
CHARIOT - Towards a Continuous High-Level Adaptive Runtime Integration Testbed.
FAS*W@SASO/ICAC
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
2019 — conf
Self-Improving System Integration - On a Definition and Characteristics of the Challenge.
FAS*W@SASO/ICAC
Kirstie L. Bellman, Christian Gruhl, Christopher Landauer, Sven Tomforde
2018 — conf
Aspects of Measuring and Evaluating the Integration Status of a (Sub-)System at Runtime.
FAS*W@SASO/ICAC
Christian Gruhl, Sven Tomforde, Bernhard Sick
2018 J jnl
Novelty detection with CANDIES: a holistic technique based on probabilistic models.
Int. J. Mach. Learn. Cybern.
Christian Gruhl, Bernhard Sick
2018 — conf
Self-Improving System Integration - Status and Challenges after Five Years of SISSY.
FAS*W@SASO/ICAC
Kirstie L. Bellman, Jean Botev, Ada Diaconescu, Lukas Esterle, Christian Gruhl, Christopher Landauer, Peter R. Lewis, Anthony Stein, Sven Tomforde, Rolf P. Würtz
2016 J jnl
Detecting Novel Processes with CANDIES - An Holistic Novelty Detection Technique based on Probabilistic Models.
CoRR
Christian Gruhl, Bernhard Sick
2016 J jnl
Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers.
CoRR
Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
2016 — conf
Towards Autonomous Self-Tests at Runtime.
FAS*W@SASO/ICCAC
Henner Heck, Stefan Rudolph, Christian Gruhl, Arno Wacker, Jörg Hähner, Bernhard Sick, Sven Tomforde
2016 J jnl
Towards automation of knowledge understanding: An approach for probabilistic generative classifiers.
Inf. Sci.
Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
2016 J jnl
Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions.
CoRR
Christian Gruhl, Bernhard Sick
2015 — conf
A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection.
iCAST
Christian Gruhl, Bernhard Sick, Arno Wacker, Sven Tomforde, Jörg Hähner
2014 — conf
"Know Thyself" - Computational Self-Reflection in Intelligent Technical Systems.
SASO Workshops
Sven Tomforde, Jörg Hähner, Sebastian von Mammen, Christian Gruhl, Bernhard Sick, Kurt Geihs