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Publication search results
found 43 matches
- 2024
- 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 - 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 - 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) - 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) - 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
- Christian Gruhl, Bernhard Sick:
Self- Integration and Agent Compatibility. ACSOS-C 2023: 71-73 - 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 - Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick:
DADO - Low-Cost Query Strategies for Deep Active Design Optimization. ICMLA 2023: 1611-1618 - Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick:
DADO - Low-Cost Selection Strategies for Deep Active Design Optimization. CoRR abs/2307.04536 (2023) - 2022
- 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 - 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) - 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) - Ghassan Al-Falouji
, Christian Gruhl, Torben Neumann, Sven Tomforde:
A Heuristic for an Online Applicability of Anomaly Detection Techniques. ACSOS-C 2022: 107-112 - Christian Gruhl, Sven Tomforde, Bernhard Sick:
Self-Aware Microsystems. ACSOS-C 2022: 126-127 - 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
- 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) - Christian Gruhl, Bernhard Sick
, Sven Tomforde:
Novelty detection in continuously changing environments. Future Gener. Comput. Syst. 114: 138-154 (2021) - 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 - 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 - Christian Gruhl, Sven Tomforde:
OHODIN - Online Anomaly Detection for Data Streams. ACSOS-C 2021: 193-197 - Abdul Hannan, Christian Gruhl, Bernhard Sick:
Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders. CSR 2021: 1-7 - Michele Zoch
, Christian Gierschner, Yuan Peng
, Mirko Gruhl, Liz A. Leutner, Martin Sedlmayr
, Franziska Bathelt
:
Adaption of the OMOP CDM for Rare Diseases. MIE 2021: 138-142 - 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
- Rachel Drysdale, Charles E. Cook
, Robert Petryszak, Vivienne Baillie Gerritsen, Mary Barlow, Elisabeth Gasteiger, Franziska Gruhl
, Jürgen Haas, Jerry Lanfear, Rodrigo Lopez
, Nicole Redaschi
, Heinz Stockinger
, Daniel Teixeira, Aravind Venkatesan
, Alex Bateman
, Alan J. Bridge, Guy Cochrane
, Robert D. Finn
, Frank Oliver Glöckner, Marc Hanauer, Thomas M. Keane, Andrew Leach, Luana Licata
, Per Oksvold, Sandra E. Orchard
, Christine A. Orengo, Helen E. Parkinson
, Bengt Persson, Pablo Porras
, Jordi Rambla, Ana Rath, Charlotte Rodwell, Ugis Sarkans
, Dietmar Schomburg, Ian Sillitoe, J. Dylan Spalding
, Mathias Uhlén
, Sameer Velankar
, Juan Antonio Vizcaíno
, Kalle von Feilitzen, Christian von Mering, Andrew D. Yates
, Niklas Blomberg
, Christine Durinx
, Johanna R. McEntyre
:
The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences. Bioinform. 36(8): 2636-2642 (2020) - Christian Gruhl, Jörn Schmeißing, Sven Tomforde, Bernhard Sick
:
Normal-Wishart Clustering for Novelty Detection. ACSOS Companion 2020: 64-69 - 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 - 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 - Florian Heidecker, Christian Gruhl, Bernhard Sick:
Novelty Based Driver Identification on RR Intervals from ECG Data. ICPR Workshops (4) 2020: 407-421 - 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 - Christoffer Löffler
, Christian Nickel, Christopher Sobel, Daniel Dzibela, Jonathan Braat, Benjamin Gruhler, Philipp Woller, Nicolas Witt, Christopher Mutschler:
Automated Quality Assurance for Hand-Held Tools via Embedded Classification and AutoML. ECML/PKDD (5) 2020: 532-535
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