A refined filter for UHAD to improve anomaly detection by Hajamydeen, Asif Iqbal, Udzir, Nur Izura

“…Therefore, this paper proposes a refined filterer for unsupervised heterogeneous anomaly detection that retains most anomalous events irrespective of its volume in the logs and also discusses the impact of the refined filterer in supporting the detection. …”
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Unsupervised Anomaly Detection with Unlabeled Data Using Clustering by Chimphlee, Witcha, Abdullah, Abdul Hanan, Md. Sap, Mohd. Noor

“…We present a clustering-based intrusion detection algorithm, unsupervised anomaly detection, which trains on unlabeled data in order to detect new intrusions. …”
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Anomaly detection for controlling data accruracy in service industry by Samsuddin, Nurul Asyikin

“…The purpose of this project is to investigate the application of anomaly detection, particularly control charts for individual sample, to control data quality of a risk management system in a financial industry. …”

Anomaly detection for controlling data accuracy in service industry by Samsuddin, Nurul Asyikin

“…The purpose of this project is to investigate the application of anomaly detection, particularly control charts for individual sample, to control data quality of a risk management system in a financial industry. …”
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Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights by Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz

Subjects: “…Lifelong anomaly detection…”
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A hybrid anomaly detection method for high dimensional data by Xin Zhang, Pingping Wei, Qingling Wang

Subjects: “…Anomaly detection…”
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An Anomaly Detection Method for AIS Trajectory Based on Kinematic Interpolation by Shaoqing Guo, Junmin Mou, Linying Chen, Pengfei Chen

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Anomaly Detection Module for Network Traffic Monitoring in Public Institutions by Łukasz Wawrowski, Andrzej Białas, Adrian Kajzer, Artur Kozłowski, Rafał Kurianowicz, Marek Sikora, Agnieszka Szymańska-Kwiecień, Mariusz Uchroński, Miłosz Białczak, Maciej Olejnik, Marcin Michalak

Subjects: “…anomaly detection…”
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Attention-Aware Spectral Difference Representation for Hyperspectral Anomaly Detection by Wuxia Zhang, Huibo Guo, Shuo Liu, Siyuan Wu

Subjects: “…anomaly detection…”
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Influence of Features on Accuracy of Anomaly Detection for an Energy Trading System by Hoon Ko, Kwangcheol Rim, Isabel Praça

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An Intuitionistic Fuzzy-Rough Set-Based Classification for Anomaly Detection by Fokrul Alom Mazarbhuiya, Mohamed Shenify

“…In any intrusion detection system, anomaly detection mainly focuses on modeling the normal behavior of the users and detecting the deviations from normal behavior, which are assumed to be potential intrusions or threats. …”
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TiCTok: Time-Series Anomaly Detection With Contrastive Tokenization by Minseo Kang, Byunghan Lee

“…Here, we propose a time-series anomaly detection model with contrastive tokenization (TiCTok). …”
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Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants by Vesna Dimitrievska, Federico Pittino, Wolfgang Muehleisen, Nicole Diewald, Markus Hilweg, Andràs Montvay, Christina Hirschl

“…In this paper, we introduce different approaches for both gradual degradation assessment and anomaly detection. Depending on the data available in the PV plant monitoring system, the appropriate method for each degradation class can be selected. …”
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Semantic Decomposition and Anomaly Detection of Tympanic Membrane Endoscopic Images by Dahye Song, In Sik Song, Jaeyoung Kim, June Choi, Yeonjoon Lee

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Online payment fraud: from anomaly detection to risk management by Paolo Vanini, Sebastiano Rossi, Ermin Zvizdic, Thomas Domenig

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Cascade of One Class Classifiers for Water Level Anomaly Detection by Fabian Hann Shen Tan, Jun Ryeol Park, Kyuil Jung, Jun Seoung Lee, Dae-Ki Kang

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Long-Lived Particles Anomaly Detection with Parametrized Quantum Circuits by Simone Bordoni, Denis Stanev, Tommaso Santantonio, Stefano Giagu

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Measuring internal inequality in capsule networks for supervised anomaly detection by Bogdan Kirillov, Maxim Panov

“…We demonstrate how the interplay between primary and class capsules gives rise to differences in behavior regarding anomalous and normal input which can be exploited to detect anomalies. Our setup for anomaly detection requires supervision in a form of known outliers. …”
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Anomaly detection in feature space for detecting changes in phytoplankton populations by Massimiliano Ciranni, Francesca Odone, Vito Paolo Pastore

Subjects: “…anomaly detection…”
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Archetypal Analysis and Structured Sparse Representation for Hyperspectral Anomaly Detection by Genping Zhao, Fei Li, Xiuwei Zhang, Kati Laakso, Jonathan Cheung-Wai Chan

Subjects: “…anomaly detection…”
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