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  1. Active_PU_Learning Active_PU_Learning Public

    Class Prior Estimation in Active Positive and Unlabeled Learning

    Jupyter Notebook 15 2

  2. Confidence_AD Confidence_AD Public

    Estimation of the confidence measure for anomaly detectors, as explained in the paper "Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions" (ECML-PKDD 2020).

    Jupyter Notebook 12

  3. TransferContamination TransferContamination Public

    Code and supplementary material of the paper "Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity", AAAI22.

    Jupyter Notebook 4

  4. RejEx RejEx Public

    Jupyter Notebook 4

  5. StabilityRankings_AD StabilityRankings_AD Public

    A Ranking Stability Measure for Quantifying the Robustness of Anomaly Detection Methods

    Jupyter Notebook 3

  6. GammaGMM GammaGMM Public

    Implementation of the methodology proposed by the paper "Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection".

    Jupyter Notebook 3 1