Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning

31 May 2019

Papers citing "Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning"

37 / 37 papers shown

Title
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis Alexandros Gkillas Aris Lalos 20 1 0 06 Nov 2024
Time Series Viewmakers for Robust Disruption Prediction Dhruva Chayapathy Tavis Siebert Lucas Spangher Akshata Kishore Moharir Om Manoj Patil Cristina Rea 23 0 0 14 Oct 2024
Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting Dona Arabi Jafar Bakhshaliyev Ayse Coskuner Kiran Madhusudhanan Kami Serdar Uckardes AI4TS 32 2 0 20 Aug 2024
Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models Mingzhi Chen Yiyu Gui Yuqi Su Yuesheng Zhu Guibo Luo Yuchao Yang DiffM MedIm 21 0 0 20 Jul 2024
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction Kai Zhao Zuojie He A. Hung Dan Zeng AI4TS 46 1 0 26 May 2024
Review of Data-centric Time Series Analysis from Sample, Feature, and Period Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 35 0 0 24 Apr 2024
Transfer learning applications for anomaly detection in wind turbines C. Roelofs Christian Gück S. Faulstich 41 2 0 03 Apr 2024
TimEHR: Image-based Time Series Generation for Electronic Health Records Hojjat Karami Mary-Anne Hartley David Atienza Anisoara Ionescu 24 3 0 09 Feb 2024
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach Tianshi Wang Jinyang Li Ruijie Wang Denizhan Kara Shengzhong Liu Davis Wertheimer Antoni Viros i Martin R. Ganti M. Srivatsa Tarek F. Abdelzaher 22 6 0 03 Feb 2024
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision Chen Liu Shibo He Haoyu Liu Shizhong Li AI4TS 32 4 0 20 Jan 2024
EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series Jie Liu Qilin Li Senjian An Bradley Ezard Ling Li AI4TS 12 1 0 04 Dec 2023
Tight Rates in Supervised Outlier Transfer Learning Mohammadreza M. Kalan Samory Kpotufe 11 0 0 07 Oct 2023
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data Peikun Guo Huiyuan Yang Akane Sano AI4TS 6 5 0 18 Sep 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 36 57 0 11 Jul 2023
Cloud-Native Computing: A Survey from the Perspective of Services Shuiguang Deng Hailiang Zhao Binbin Huang Cheng Zhang Feiyi Chen Yinuo Deng Jianwei Yin Schahram Dustdar Albert Y. Zomaya AI4TS 26 17 0 26 Jun 2023
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review Hamza Kheddar Yassine Himeur A. Awad AI4CE 24 61 0 19 Apr 2023
Spacecraft Anomaly Detection with Attention Temporal Convolution Network Liang Liu L. Tian Zhao Kang Tianqi Wan AI4TS 25 27 0 13 Mar 2023
FrAug: Frequency Domain Augmentation for Time Series Forecasting Mu-Hwa Chen Zhijian Xu Ailing Zeng Qiang Xu AI4TS 13 8 0 18 Feb 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang X. Wang AI4TS 33 33 0 07 Feb 2023
Deep Learning for Time Series Anomaly Detection: A Survey Zahra Zamanzadeh Darban G. I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 37 129 0 09 Nov 2022
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices Preetam Anbukarasu Shailesh Nanisetty Ganesh Tata Nilanjan Ray 20 5 0 16 Aug 2022
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data Wenkai Li Cheng Feng Tingling Chen Jun Zhu AAML AI4TS 21 6 0 03 Aug 2022
Anomaly Detection for Fraud in Cryptocurrency Time Series Eran Kaufman A. Iaremenko AI4TS 20 1 0 23 Jul 2022
Don't overfit the history -- Recursive time series data augmentation A. Aboussalah M. Kwon Raj G. Patel Cheng Chi Chi-Guhn Lee AI4TS 6 4 0 06 Jul 2022
Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition Xin-Shun Xu Zhuangzhi Chen Dongwei Xu Huaji Zhou Shanqing Yu Shilian Zheng Qi Xuan Xiaoniu Yang 28 13 0 05 Apr 2022
Performance of Deep Learning models with transfer learning for multiple-step-ahead forecasts in monthly time series M. Solís L. Calvo-Valverde AI4TS 17 7 0 18 Mar 2022
TiSAT: Time Series Anomaly Transformer Keval Doshi Shatha Abudalou Yasin Yılmaz AI4TS 27 16 0 10 Mar 2022
Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features? Erik Otović Marko Njirjak Dario Jozinović G. Mauša A. Michelini Ivan Štajduhar AI4TS 24 40 0 12 Jan 2022
Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks Tran Viet Khoa D. Hoang N. Trung Cong T. Nguyen T. T. T. Quynh Diep N. Nguyen Nguyen Viet Ha E. Dutkiewicz FedML 6 19 0 02 Dec 2021
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection Yeonghyeon Park JongHee Jung 19 4 0 22 Nov 2021
Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution Aakash Kaku Kangning Liu A. Parnandi H. Rajamohan Kannan Venkataramanan Anita Venkatesan Audre Wirtanen Natasha Pandit Heidi M. Schambra C. Fernandez‐Granda 19 5 0 03 Nov 2021
Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping Dongha Lee Sehun Yu Hyunjun Ju Hwanjo Yu 8 13 0 15 Aug 2021
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospect O. Serradilla E. Zugasti Urko Zurutuza AI4CE 12 18 0 07 Oct 2020
Anomaly Detection and Sampling Cost Control via Hierarchical GANs Chen Zhong M. C. Gursoy Senem Velipasalar AI4TS 11 4 0 28 Sep 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 26 632 0 27 Feb 2020
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks Jing Gao Xiaomin Song Qingsong Wen Pichao Wang Liang Sun Huan Xu AI4TS 18 133 0 21 Feb 2020
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges Mennatullah Siam Sara Elkerdawy Martin Jägersand S. Yogamani 119 166 0 08 Jul 2017