Lorenzo-Perini

Active_PU_Learning

Class Prior Estimation in Active Positive and Unlabeled Learning

Confidence_AD

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).

RejEx

TransferContamination

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

GammaGMM

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

PU-MIL-AD

StabilityRankings_AD

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

Ballad

Implementation of the method BALLAD, published at the workshop UDM23 @ AAAI.

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

ALBA-paper

Code repository for the ECML-PKDD 2022 paper "Multi-domain Active Learning for Semi-supervised Anomaly Detection"

pythresh

Outlier Detection Thresholding

website

This is my website