Online Video Anomaly Detection by Yuxing Zhang, Jinchen Song, Yuehan Jiang, Hongjun Li

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Multi-Perspective Anomaly Detection by Peter Jakob, Manav Madan, Tobias Schmid-Schirling, Abhinav Valada

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Deep learning for anomaly detection by Tan, Kenneth Jun Wei

“…Anomaly detection methods are devoted to target detection schemes in which no priori information about the spectra of the targets of interest is available. …”
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Anomaly detection in industrial settings by Yeo, Nathaniel Chong Ho

“…Anomaly detection (AD) and anomaly segmentation (AS) is a large part of various industrial setting such as the manufacturing industry. …”
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Geometric anomaly detection in data by Stolz, BJ, Tanner, J, Harrington, HA, Nanda, V

Anomaly detection on streamed data by Cochrane, T, Foster, P, Lyons, T, Arribas, IP

Null hypothesis test for anomaly detection by Jernej F. Kamenik, Manuel Szewc

“…We extend the use of Classification Without Labels for anomaly detection with a hypothesis test designed to exclude the background-only hypothesis. …”
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Road-Side Unit Anomaly Detection by Mohamed-Lamine Benzagouta, Hasnaâ Aniss, Hacène Fouchal, Nour-Eddin El Faouzi

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Anomaly Detection in Microservice-Based Systems by João Nobre, E. J. Solteiro Pires, Arsénio Reis

Subjects: “…anomaly detection…”
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BGP Anomaly Detection with Balanced Datasets by Marijana Ćosović, Slobodan Obradović

Subjects: “…anomaly detection…”
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Factorized Industrial Anomaly Detection and Localization by Yuhao Zhu, Linlin Dai, Xingzhi Dong, Ping Li

Subjects: “…Industrial anomaly detection and localization…”
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Quantum anomaly detection for collider physics by Sulaiman Alvi, Christian W. Bauer, Benjamin Nachman

“…Abstract We explore the use of Quantum Machine Learning (QML) for anomaly detection at the Large Hadron Collider (LHC). In particular, we explore a semi-supervised approach in the four-lepton final state where simulations are reliable enough for a direct background prediction. …”
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Combining Entropy Measures for Anomaly Detection by Alberto Muñoz, Nicolás Hernández, Javier M. Moguerza, Gabriel Martos

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Anomaly detection in the presence of irrelevant features by Marat Freytsis, Maxim Perelstein, Yik Chuen San

“…This paper presents Boosted Decision Tree (BDT)-based techniques to improve anomaly detection in the presence of many irrelevant features. …”
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Special Issue on Unsupervised Anomaly Detection by Markus Goldstein

“…Anomaly detection (also known as outlier detection) is the task of finding instances in a dataset which deviate markedly from the norm [...]…”
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From Anomaly Detection to Defect Classification by Jaromír Klarák, Robert Andok, Peter Malík, Ivan Kuric, Mário Ritomský, Ivana Klačková, Hung-Yin Tsai

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Anomaly detection in images with shared autoencoders by Haoyang Jia, Haoyang Jia, Wenfen Liu, Wenfen Liu

Subjects: “…anomaly detection…”
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Latent-Insensitive Autoencoders for Anomaly Detection by Muhammad S. Battikh, Artem A. Lenskiy

Subjects: “…anomaly detection…”
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Road Anomalies Detection System Evaluation by Nuno Silva, Vaibhav Shah, João Soares, Helena Rodrigues

“…Overall, in this paper, we describe the main insights on road anomalies detection challenges to support the design and deployment of a new iteration of our system towards the deployment of a road anomaly detection service to provide information about roads condition to drivers and government entities.…”
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Anomaly detection and community detection in networks by Hadiseh Safdari, Caterina De Bacco

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