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[ENH] Add DL anomaly detection algorithms: USAD #1634

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SebastianSchmidl opened this issue Jun 10, 2024 · 1 comment
Open

[ENH] Add DL anomaly detection algorithms: USAD #1634

SebastianSchmidl opened this issue Jun 10, 2024 · 1 comment
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anomaly detection Anomaly detection package API design API design & software architecture deep learning Deep learning related enhancement New feature, improvement request or other non-bug code enhancement implementing algorithms Implementing new algorithms/estimators

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@SebastianSchmidl
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Describe the feature or idea you want to propose

Audibert et al. proposed a DL-based anomaly detection algorithm for multivariate time series in https://doi.org/10.1145/3394486.3403392. We should include this algorithm in aeon.

There is currently no corresponding implementation in TimeEval. A community implementation can be found here: https://github.com/manigalati/usad

Describe your proposed solution

  1. Come up with an API design for deep-learning based anomaly detection algorithms
  2. Implement USAD algorithm in aeon

Describe alternatives you've considered, if relevant

No response

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@SebastianSchmidl SebastianSchmidl added enhancement New feature, improvement request or other non-bug code enhancement API design API design & software architecture implementing algorithms Implementing new algorithms/estimators deep learning Deep learning related anomaly detection Anomaly detection package labels Jun 10, 2024
@aryanpola
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@aeon-actions-bot assign @aryanpola

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Labels
anomaly detection Anomaly detection package API design API design & software architecture deep learning Deep learning related enhancement New feature, improvement request or other non-bug code enhancement implementing algorithms Implementing new algorithms/estimators
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