Search Results for author: Ferdinand Rewicki

Found 1 papers, 1 papers with code

Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series

1 code implementation21 Dec 2022 Ferdinand Rewicki, Joachim Denzler, Julia Niebling

Detecting anomalies in time series data is important in a variety of fields, including system monitoring, healthcare, and cybersecurity.

Time Series Time Series Analysis +1

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