Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?

4 April 2022

Papers citing "Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?"

9 / 9 papers shown

Title
Can LLMs Understand Time Series Anomalies? Zihao Zhou Rose Yu AI4TS 161 15 0 13 Mar 2025
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series Zahra Zamanzadeh Darban Yiyuan Yang Geoffrey I. Webb Charu C. Aggarwal Qingsong Wen Xiaojun Jia Mahsa Salehi 127 0 0 17 Apr 2024
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 112 7 0 31 Jan 2023
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series Astha Garg Wenyu Zhang Jules Samaran R. Savitha Chuan-Sheng Foo AI4TS 108 228 0 23 Sep 2021
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress R. Wu Eamonn J. Keogh AI4TS 68 203 0 29 Sep 2020
Does deep learning always outperform simple linear regression in optical imaging? Shuming Jiao Yang Gao Jun Feng T. Lei Xiaocong Yuan 68 51 0 31 Oct 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 69 607 0 14 Feb 2019
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications Haowen Xu Wenxiao Chen Nengwen Zhao Zeyan Li Jiahao Bu ... Dan Pei Yang Feng Jie Chen Zhaogang Wang Honglin Qiao MLAU 91 822 0 12 Feb 2018
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder Daehyung Park Yuuna Hoshi Charles C. Kemp DRL 79 751 0 02 Nov 2017