Patrick Klein
Zitiert von
Zitiert von
Generation of Complex Data for AI-based Predictive Maintenance Research with a Physical Factory Model.
P Klein, R Bergmann
16th International Conference on Informatics in Control Automation and …, 2019
Using semantic web services for ai-based research in industry 4.0
L Malburg, P Klein, R Bergmann
arXiv preprint arXiv:2007.03580, 2020
FTOnto: A Domain Ontology for a Fischertechnik Simulation Production Factory by Reusing Existing Ontologies.
P Klein, L Malburg, R Bergmann
LWDA, 253-264, 2019
Data Generation with a Physical Model to Support Machine Learning Research for Predictive Maintenance.
P Klein, R Bergmann
LWDA 2191, 179-190, 2018
Improving neural knowledge base completion with cross-lingual projections
P Klein, SP Ponzetto, G Glavaš
Association for Computational Linguistics, 2017
Learning workflow embeddings to improve the performance of similarity-based retrieval for process-oriented case-based reasoning
P Klein, L Malburg, R Bergmann
International Conference on Case-Based Reasoning, 188-203, 2019
Using siamese graph neural networks for similarity-based retrieval in process-oriented case-based reasoning
M Hoffmann, L Malburg, P Klein, R Bergmann
International Conference on Case-Based Reasoning, 229-244, 2020
Fault Detection and Condition Monitoring in District Heating Using Smart Meter Data
F Theusch, P Klein, R Bergmann, W Wilke, W Bock, A Weber
PHM Society European Conference 6 (1), 11-11, 2021
Enhancing siamese neural networks through expert knowledge for predictive maintenance
P Klein, N Weingarz, R Bergmann
IoT streams for data-driven predictive maintenance and IoT, Edge, and mobile …, 2020
Using Expert Knowledge for Masking Irrelevant Data Streams in Siamese Networks for the Detection and Prediction of Faults
P Klein, N Weingarz, R Bergmann
2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021
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