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Ferdinand Rewicki

3 papers hereh-index 366 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG3

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedIs it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series

54 citations · 55 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data

Ferdinand Rewicki, Joachim Denzler, Julia Niebling

Detecting and classifying abnormal system states is critical for condition monitoring, but supervised methods often fall short due to the rarity of anomalies and the lack of labele…

cs.LG2024★ 1 cited

Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry

Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling +1

The detection of abnormal or critical system states is essential in condition monitoring. While much attention is given to promptly identifying anomalies, a retrospective analysis…

cs.LG2022★ 54 cited

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

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. While the abundance of available methods ma…

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