Lorenzo Perini
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Vincent Vercruyssen
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Learning from positive and unlabeled multi-instance bags in anomaly detection
Multi-domain active learning for semi-supervised anomaly detection
Transferring the contamination factor between anomaly detection domains by shape similarity
The effect of hyperparameter tuning on the comparative evaluation of unsupervised anomaly detection methods
A ranking stability measure for quantifying the robustness of anomaly detection methods
Class Prior Estimation in Active Positive and Unlabeled Learning.
Quantifying the confidence of anomaly detectors in their example-wise predictions
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