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Title:

Uncertainty-Aware Time Series Anomaly Detection

Document type:
Zeitschriftenaufsatz
Author(s):
Wiessner, Paul ; Bezirganyan, Grigor ; Sellami, Sana ; Chbeir, Richard ; Bungartz, Hans-Joachim
Keywords:
Article ; anomaly detection ; time series ; uncertainty quantification ; deep neural networks ; bayesian network
Journal title:
Future Internet
Year:
2024
Journal volume:
16
Journal issue:
11
Fulltext / DOI:
doi:10.3390/fi16110403
Publisher:
MDPI
E-ISSN:
1999-5903
Date of publication:
31.10.2024
CC license:
by, https://creativecommons.org/licenses/by/4.0
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