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Found 4 papers, 1 papers with code
Outlier detection in non-elliptical data by kernel MRCD
The minimum regularized covariance determinant method (MRCD) is a robust estimator for multivariate location and scatter, which detects outliers by fitting a robust covariance matrix to the data.
Class maps for visualizing classification results
A classification method first processes a training set of objects with given classes (labels), with the goal of afterward assigning new objects to one of these classes.
Robust Monitoring of Time Series with Application to Fraud Detection
Time series often contain outliers and level shifts or structural changes.
Computation
Anomaly Detection by Robust Statistics
Real data often contain anomalous cases, also known as outliers.
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