robust explainable anomaly detection

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This notebook shows how autencoders can be used to identify anomalous observations using the per-observation reconstruction error. In addition, one can identify anomalous variables using the robustly standardized per-variable reconstruction error.

The notebook is a supplement to the paper "Evaluating Robustly Standardized Explainable Anomaly Detection of Implausible Variables in Cancer Data".

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October 31, 2024

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