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Found 2 papers, 2 papers with code
Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection
Autoencoders, as a dimensionality reduction technique, have been recently applied to outlier detection.
Graph-based Selective Outlier Ensembles
A problem with this approach is that poor components are likely to negatively affect the quality of the consensus result.
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