Anomaly detection with inexact labels

DOI10.1007/S10994-020-05880-WOpenAlexW3030345572MaRDI QIDQ2203336

Shotaro Tora, Tomoharu Iwata, Machiko Toyoda, Naonori Ueda

Publication date: 6 October 2020

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.04807

zbMATH Keywords

AUC maximizationanomaly detectioninexact labels

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• Scikit
• LOF
• PyTorch
• Adam
• IsolationForest
• GANomaly

Cites Work

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• Novelty detection: a review. I. Statistical approaches
• Solving the multiple instance problem with axis-parallel rectangles.
• Semi-supervised AUC optimization based on positive-unlabeled learning
• A survey of outlier detection methodologies
• Estimating the Support of a High-Dimensional Distribution
• Partial AUC Estimation and Regression
• Multiple Instance Learning
• Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve
• Random forests

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