Stefan Schramm
Orcid: 0009-0007-0470-6333
According to our database1,
Stefan Schramm
authored at least 6 papers
between 2013 and 2024.
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Bibliography
2024
Hierarchical cavitation intensity recognition using Sub-Master Transition Network-based acoustic signals in pipeline systems.
Expert Syst. Appl., 2024
Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2022
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals.
Eng. Appl. Artif. Intell., 2022
An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering.
CoRR, 2022
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2013
Proceedings of 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation, 2013