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A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
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Merge branch 'matwey-fix_transform_to_region_features_sparse'
0a7b86cView on GitHubImprove performance in transform_to_region_features_sparse
5ce52a9View on GitHub