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2002.04236
Cited By
A review on outlier/anomaly detection in time series data
11 February 2020
Ane Blázquez-García
Angel Conde
U. Mori
Jose A. Lozano
AI4TS
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Papers citing
"A review on outlier/anomaly detection in time series data"
50 / 137 papers shown
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Correlated Attention in Transformers for Multivariate Time Series
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Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution
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Time Series Anomaly Detection using Diffusion-based Models
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Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
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Daniel Faílde
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Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction
Chih-Yu Lai
Fan-Keng Sun
Zhengqi Gao
Jeffrey H. Lang
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Open-Set Multivariate Time-Series Anomaly Detection
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Thi Kieu Khanh Ho
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18 Oct 2023
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection
Chaocheng Yang
Tingyin Wang
Xuanhui Yan
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Successive Data Injection in Conditional Quantum GAN Applied to Time Series Anomaly Detection
Benjamin Kalfon
S. Cherkaoui
J. Laprade
Ola Ahmad
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Multivariate Singular Spectrum Analysis by Robust Diagonalwise Low-Rank Approximation
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Mia Hubert
B. Palumbo
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Expert enhanced dynamic time warping based anomaly detection
Matej Kloska
Gabriela Grmanová
Viera Rozinajová
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Algorithmic Recourse for Anomaly Detection in Multivariate Time Series
Jongyoon Lim
Lu Zhang
Yongkai Wu
Shuhan Yuan
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Efficient Concept Drift Handling for Batch Android Malware Detection Models
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Effective Abnormal Activity Detection on Multivariate Time Series Healthcare Data
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Yuchen Zhao
Hamed Haddadi
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A multiple k-means cluster ensemble framework for clustering citation trajectories
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D. Pradhan
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A Survey of Time Series Anomaly Detection Methods in the AIOps Domain
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Qiliang Fan
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Yuzhi Zhang
Dan Pei
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26
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01 Aug 2023
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Yu Zheng
Huan Yee Koh
Ming Jin
Lianhua Chi
Khoa T. Phan
Shirui Pan
Yi-Ping Phoebe Chen
Wei Xiang
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A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
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Irwin King
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ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
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C. Zhang
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Computationally Assisted Quality Control for Public Health Data Streams
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Kathryn Mazaitis
Roni Rosenfeld
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Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset
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DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
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Chaoli Zhang
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Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
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Qingsong Wen
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...
James Y. Zhang
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Dongjin Song
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Coupled Attention Networks for Multivariate Time Series Anomaly Detection
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Mingliang Hou
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Diagnostic Spatio-temporal Transformer with Faithful Encoding
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RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series
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Jia-Chun Lin
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AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection
Marcin Pietroñ
Dominik Zurek
Kamil Faber
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A Survey on Time-Series Pre-Trained Models
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Ziqiang Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
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James T. Kwok
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Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection
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New bootstrap tests for categorical time series. A comparative study
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José Antonio Vilar Fernández
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Ordinal time series analysis with the R package otsfeatures
Ángel López-Oriona
José Antonio Vilar Fernández
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Graph Neural Network-Based Anomaly Detection for River Network Systems
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E. Santos‐Fernandez
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AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges
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Gerald Woo
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High-performance Time Series Anomaly Discovery on Graphics Processors
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SoftED: Metrics for Soft Evaluation of Time Series Event Detection
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Set Features for Fine-grained Anomaly Detection
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Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models
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Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series
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Graph Anomaly Detection in Time Series: A Survey
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Challenges in anomaly and change point detection
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Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
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Deep Learning for Time Series Anomaly Detection: A Survey
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HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection
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AD-DMKDE: Anomaly Detection through Density Matrices and Fourier Features
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TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis
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tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving Graphs
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Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations
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