Unraveling the "Anomaly" in Time Series Anomaly Detection: A
Self-supervised Tri-domain Solution

Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution

19 November 2023

Papers citing "Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution"

9 / 9 papers shown

Title
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels Yaxuan Wang Hao Cheng Jing Xiong Qingsong Wen Han Jia Ruixuan Song L. Zhang Zhaowei Zhu Yang Liu AI4TS 47 1 0 21 Jan 2025
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection Chaoyue Ding Shiliang Sun Jing Zhao AI4TS 21 139 0 17 Oct 2023
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection Yiyuan Yang Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 91 114 0 17 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 109 97 0 16 Jun 2023
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks S. Saravanan Tie Luo Mao V. Ngo AI4TS 11 8 0 22 Mar 2023
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT Yuting Sun Tong Chen Quoc Viet Hung Nguyen Hongzhi Yin 10 12 0 07 Mar 2023
Towards a Rigorous Evaluation of Time-series Anomaly Detection Siwon Kim K. Choi Hyun-Soo Choi Byunghan Lee Sungroh Yoon AI4TS 75 144 0 11 Sep 2021
Neural Contextual Anomaly Detection for Time Series Chris U. Carmona Franccois-Xavier Aubet Valentin Flunkert Jan Gasthaus BDL AI4TS 51 54 0 16 Jul 2021
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection Guanhua Ye Hongzhi Yin Tong Chen Hongxu Chen Li-zhen Cui Xiangliang Zhang 23 25 0 08 Jan 2021