A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

20 November 2018

Papers citing "A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data"

50 / 159 papers shown

Title
Conditional Temporal Neural Processes with Covariance Loss Boseon Yoo Jiwoo Lee Janghoon Ju Seijun Chung Soyeon Kim Jaesik Choi 70 15 0 01 Apr 2025
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains Vincent Jacob Y. Diao AI4TS 46 0 0 29 Mar 2025
RAAD-LLM: Adaptive Anomaly Detection Using LLMs and RAG Integration Alicia Russell-Gilbert Sudip Mittal Shahram Rahimi Maria Seale Joseph E. Jabour Thomas Arnold Joshua Church 43 0 0 04 Mar 2025
Harnessing Vision Models for Time Series Analysis: A Survey Jingchao Ni Ziming Zhao ChengAo Shen Hanghang Tong Dongjin Song Wei Cheng Dongsheng Luo Haifeng Chen AI4TS 79 1 0 13 Feb 2025
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection Qingxiang Liu Chenghao Liu Sheng Sun Di Yao Keli Zhang AI4TS 62 0 0 30 Jan 2025
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges Aitor Sánchez-Ferrera Borja Calvo Jose A. Lozano AI4TS 40 0 0 28 Jan 2025
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network Weiqi Chen Zhiqiang Zhou Qingsong Wen Lin Sun AI4TS 74 0 0 26 Nov 2024
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models Alicia Russell-Gilbert Alexander Sommers Andrew Thompson Logan Cummins Sudip Mittal Shahram Rahimi Maria Seale Joseph Jaboure Thomas Arnold Joshua Church 42 3 0 01 Nov 2024
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics L. Zheng Zhengyang Li Chang Dong W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen AI4TS 33 1 0 16 Oct 2024
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling Sinong Zhao Wenrui Wang Hongzuo Xu Zhaoyang Yu Qingsong Wen Gang Wang Xiaoguang Liu Guansong Pang AI4TS 28 0 0 16 Oct 2024
Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User Anomalies Revital Marbel Yanir Cohen Ran Dubin Amit Dvir Chen Hajaj 21 0 0 19 Sep 2024
Cluster-Wide Task Slowdown Detection in Cloud System Feiyi Chen Yingying Zhang Lunting Fan Yuxuan Liang Guansong Pang Qingsong Wen Shuiguang Deng 39 1 0 08 Aug 2024
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions Lucas Correia Jan-Christoph Goos Philipp Klein Thomas Bäck Anna V. Kononova AI4TS 54 3 0 07 Aug 2024
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data Lucas Correia Jan-Christoph Goos Philipp Klein Thomas Bäck Anna V. Kononova 21 0 0 09 Jul 2024
Seamless Monitoring of Stress Levels Leveraging a Universal Model for Time Sequences Davide Gabrielli Bardh Prenkaj Paola Velardi 34 0 0 04 Jul 2024
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection Yutong Chen Hongzuo Xu Guansong Pang Hezhe Qiao Yuan Zhou Mingsheng Shang AI4TS 48 1 0 28 Jun 2024
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection Jun Liu Chaoyun Zhang Jiaxu Qian Ming-Jie Ma Si Qin Chetan Bansal Qingwei Lin Saravan Rajmohan Dongmei Zhang AI4TS 33 10 0 24 May 2024
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection? M. Sarfraz Mei-Yen Chen Lukas Layer Kunyu Peng Marios Koulakis 37 3 0 04 May 2024
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods Wenzhen Yue Xianghua Ying Ruohao Guo DongDong Chen Ji Shi Bowei Xing Yuqing Zhu Taiyan Chen AI4TS 34 3 0 27 Apr 2024
Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series Daniele Meli AI4TS 33 1 0 15 Apr 2024
Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning Aofan Jiang Chaoqin Huang Qing Cao Yuchen Xu Zi Zeng Kang Chen Ya Zhang Yanfeng Wang 58 1 0 07 Apr 2024
AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo 30 0 0 25 Mar 2024
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations Xinli Hao Yile Chen Chen Yang Zhihui Du Chaohong Ma Chao Wu Xiaofeng Meng 38 3 0 15 Mar 2024
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting Muyao Wang Wenchao Chen Bo Chen 32 2 0 08 Mar 2024
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series Jingchao Ni Gauthier Guinet Peihong Jiang Laurent Callot Andrey Kan 29 1 0 18 Jan 2024
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values Yu Zheng Huan Yee Koh Ming Jin Lianhua Chi Haishuai Wang Khoa T. Phan Yi-Ping Phoebe Chen Shirui Pan Wei Xiang AI4TS 42 14 0 11 Jan 2024
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection Jinyang Liu Wen-Cheng Gu Zhuangbin Chen Yichen Li Yuxin Su Michael R. Lyu AI4TS 20 2 0 10 Jan 2024
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection Zhangkai Wu LongBing Cao Qi Zhang Junxian Zhou Hui Chen 41 3 0 07 Jan 2024
Label-Free Multivariate Time Series Anomaly Detection Qihang Zhou Shibo He Haoyu Liu Jiming Chen Wenchao Meng AI4TS 27 10 0 17 Dec 2023
TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network Nhat-Tan Bui Dinh-Hieu Hoang Thinh Phan Minh-Triet Tran Brijesh Patel Don Adjeroh Ngan Le 34 1 0 15 Dec 2023
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection Ijazul Haq Byung Suk Lee Donna M. Rizzo AI4TS 18 6 0 29 Nov 2023
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection Feiyi Chen Yingying Zhang Zhen Qin Lunting Fan Renhe Jiang Keli Zhang Qingsong Wen Shuiguang Deng AI4TS 33 4 0 26 Nov 2023
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 17 10 0 19 Nov 2023
PEMS: Pre-trained Epidemic Time-series Models Harshavardhan Kamarthi B. A. Prakash AI4TS 29 2 0 14 Nov 2023
DeepQC: A Deep Learning System for Automatic Quality Control of In-situ Soil Moisture Sensor Time Series Data Lahari Bandaru Bharat C Irigireddy Brian Davis 24 0 0 12 Nov 2023
Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter M. Asres C. Omlin Long Wang David Yu P. Parygin ... Emanuele Usai Muhammad Ahmad J. Menendez K. Maeshima the CMS-HCAL Collaboration 17 6 0 07 Nov 2023
Time Series Anomaly Detection using Diffusion-based Models Ioana Pintilie Andrei Manolache Florin Brad DiffM 23 14 0 02 Nov 2023
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction José Daniel Viqueira Daniel Faílde M. M. Juane Andrés Gómez David Mera 28 5 0 31 Oct 2023
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction Chih-Yu Lai Fan-Keng Sun Zhengqi Gao Jeffrey H. Lang Duane S. Boning AI4TS 31 15 0 24 Oct 2023
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection Chaoyue Ding Shiliang Sun Jing Zhao AI4TS 36 140 0 17 Oct 2023
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection Feiyi Chen Zhen Qin Yingying Zhang Shuiguang Deng Lunting Fan Guansong Pang Qingsong Wen AI4TS 24 6 0 09 Oct 2023
Effective Abnormal Activity Detection on Multivariate Time Series Healthcare Data Mengjia Niu Yuchen Zhao Hamed Haddadi AI4TS 20 1 0 11 Sep 2023
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models Haksoo Lim Sewon Park Minjung Kim Jaehoon Lee S. Lim Noseong Park 40 3 0 29 Aug 2023
Multivariate time series classification with dual attention network Mojtaba A. Farahani Tara Eslaminokandeh AI4TS 16 0 0 26 Aug 2023
A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data Markus Ulmer Jannik Zgraggen L. G. Huber 39 1 0 25 Aug 2023
Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation Methodology M. A. Sehili Zonghua Zhang AI4TS 21 2 0 24 Aug 2023
Adaptive Thresholding Heuristic for KPI Anomaly Detection Ebenezer R. H. P. Isaac Akshat Sharma 25 2 0 21 Aug 2023
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services Jinyang Liu Tianyi Yang Zhuangbin Chen Yuxin Su Cong Feng Zengyin Yang Michael R. Lyu 13 7 0 19 Aug 2023
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection Zahra Zamanzadeh Darban Geoffrey I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 38 18 0 18 Aug 2023
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection Aofan Jiang Chaoqin Huang Qing Cao Shuangxue Wu Zi Zeng Kang Chen Ya Zhang Yanfeng Wang 41 6 0 03 Aug 2023