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How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection.

, , and . CoRR, (2023)

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How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection., , and . CoRR, (2023)Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection., , and . KDD, page 1897-1906. ACM, (2023)Detecting Evasion Attacks in Deployed Tree Ensembles., , , and . ECML/PKDD (5), volume 14173 of Lecture Notes in Computer Science, page 120-136. Springer, (2023)A Ranking Stability Measure for Quantifying the Robustness of Anomaly Detection Methods., , and . PKDD/ECML Workshops, volume 1323 of Communications in Computer and Information Science, page 397-408. Springer, (2020)Class Prior Estimation in Active Positive and Unlabeled Learning., , and . IJCAI, page 2915-2921. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Semi-supervised Learning from Active Noisy Soft Labels for Anomaly Detection., , and . ECML/PKDD (1), volume 14169 of Lecture Notes in Computer Science, page 219-236. Springer, (2023)Multi-domain Active Learning for Semi-supervised Anomaly Detection., , , and . ECML/PKDD (4), volume 13716 of Lecture Notes in Computer Science, page 485-501. Springer, (2022)Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 27668-27679. PMLR, (2023)Unsupervised Anomaly Detection with Rejection., and . CoRR, (2023)Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity., , and . AAAI, page 4128-4136. AAAI Press, (2022)