RobustTAD: Robust Time Series Anomaly Detection via Decomposition and
Convolutional Neural Networks

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

21 February 2020

Liang Sun

Papers citing "RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks"

15 / 15 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 58 1 0 21 Jan 2025
FTS: A Framework to Find a Faithful TimeSieve Songning Lai Ninghui Feng Haochen Sui Ze Ma Hao Wang Zichen Song Hang Zhao Yutao Yue AI4TS 37 15 0 30 May 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 106 21 0 15 May 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 46 3 0 01 May 2024
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges Qian Cheng Doyen Sahoo Amrita Saha Wenjing Yang Chenghao Liu Gerald Woo Manpreet Singh Silvio Saverese S. Hoi 37 17 0 10 Apr 2023
Towards Diverse and Coherent Augmentation for Time-Series Forecasting Xiyuan Zhang Ranak Roy Chowdhury Jingbo Shang Rajesh K. Gupta Dezhi Hong AI4TS 29 4 0 24 Mar 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation Kun Yi Qi Zhang LongBing Cao Shoujin Wang Guodong Long Liang Hu Hui He ZhenDong Niu Wei Fan Hui Xiong AI4TS 55 21 0 04 Feb 2023
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 32 66 0 18 Oct 2022
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data R. Kaur Kaustubh Sridhar Sangdon Park Susmit Jha Anirban Roy O. Sokolsky Insup Lee OODD AI4TS 144 0 0 24 Jul 2022
Denoised Labels for Financial Time-Series Data via Self-Supervised Learning Yanqing Ma Carmine Ventre M. Polukarov NoLa 21 7 0 19 Dec 2021
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection Liang Xu Liying Zheng Weijun Li Zhenbo Chen Weishun Song Yue Deng Yongzhe Chang Jing Xiao Bo Yuan AI4TS 29 9 0 08 Jan 2021
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress R. Wu Eamonn J. Keogh AI4TS 30 197 0 29 Sep 2020
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models Fadhel Ayed Lorenzo Stella Tim Januschowski Jan Gasthaus AI4TS 32 10 0 30 Jul 2020
Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen Liang Sun Fan Yang Xiaomin Song Jing Gao Xue Wang Huan Xu AI4TS 32 632 0 27 Feb 2020
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning Tailai Wen Roy Keyes AI4TS 39 125 0 31 May 2019