"How Dense Autoencoders can still Achieve the State-of-the-art in ..."

Louis Jensen et al. (2021)

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DOI: 10.1109/ICMLA52953.2021.00207

access: closed

type: Conference or Workshop Paper

metadata version: 2022-09-29

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Louis Jensen, Jayme Fosa, Ben Teitelbaum, Peter Chin:
How Dense Autoencoders can still Achieve the State-of-the-art in Time-Series Anomaly Detection. ICMLA 2021: 1272-1277

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