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Vincent Vercruyssen

2 accepted papers

2022

Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity

AAAI 2022technical

Anomaly detection attempts to find examples in a dataset that do not conform to the expected behavior. Algorithms for this task assign an anomaly score to each example representing its degree of anomalousness. Setting a threshold on the anomaly scores enables converting these scores into a discrete…

2020

Class Prior Estimation in Active Positive and Unlabeled Learning

IJCAI 2020poster

Estimating the proportion of positive examples (i.e., the class prior) from positive and unlabeled (PU) data is an important task that facilitates learning a classifier from such data. In this paper, we explore how to tackle this problem when the observed labels were acquired via active learning. T…