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This repository has been archived by the owner on Feb 26, 2022. It is now read-only.
Hello, I am writing a thesis about anomaly detection in multivariate time series and I think that this method can be very interesting.
I would ask you if you have some suggestions to adapt this method for anomaly detection.
In past weeks, I worked on the Deep Evidential Regression for univariate time series and it detects anomalies calculating the entropy for each point. In your method, what can be a possible way? Because if I have read well the paper there is no lambda parameter to control the uncertainty.
Thanks
The text was updated successfully, but these errors were encountered:
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Hello, I am writing a thesis about anomaly detection in multivariate time series and I think that this method can be very interesting.
I would ask you if you have some suggestions to adapt this method for anomaly detection.
In past weeks, I worked on the Deep Evidential Regression for univariate time series and it detects anomalies calculating the entropy for each point. In your method, what can be a possible way? Because if I have read well the paper there is no lambda parameter to control the uncertainty.
Thanks
The text was updated successfully, but these errors were encountered: