LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

1 July 2016

Papers citing "LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection"

50 / 205 papers shown

Title
Restricted Generative Projection for One-Class Classification and Anomaly Detection Feng Xiao Ruoyu Sun Jicong Fan UQCV 31 2 0 09 Jul 2023
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems Meng J. Zhao Olga Fink 32 6 0 07 Jul 2023
Prototypes as Explanation for Time Series Anomaly Detection Bin Li Carsten Jentsch Emmanuel Müller AI4TS 22 2 0 04 Jul 2023
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection Yuhang Chen C. Zhang Minghua Ma Yudong Liu Ruomeng Ding Bo-wen Li Shilin He Saravan Rajmohan Qingwei Lin Dongmei Zhang DiffM 31 47 0 03 Jul 2023
Coupled Attention Networks for Multivariate Time Series Anomaly Detection Feng Xia Xin Chen Shuo Yu Mingliang Hou Mujie Liu Linlin You AI4TS 27 15 0 12 Jun 2023
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines Dezhan Tu Yeye He Weiwei Cui Song Ge Haidong Zhang Shi Han Dong-Yan Zhang S. Chaudhuri 29 5 0 04 Jun 2023
Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning Arvind Pillai Subigya Nepal Andrew Campbell AI4TS 17 2 0 31 May 2023
Diagnostic Spatio-temporal Transformer with Faithful Encoding Jokin Labaien T. Idé Pin-Yu Chen E. Zugasti Xabier De Carlos 59 2 0 26 May 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo 30 3 0 25 May 2023
Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy Sources Taehee Kim Yuxing Tang 21 0 0 01 May 2023
Interactive System-wise Anomaly Detection Guanchu Wang Ninghao Liu Daochen Zha Xia Hu AAML 22 1 0 21 Apr 2023
Context-aware Domain Adaptation for Time Series Anomaly Detection Kwei-Herng Lai Lan Wang Huiyuan Chen Kaixiong Zhou Fei Wang Hao Yang Xia Hu TTA AI4TS 40 8 0 15 Apr 2023
Deep Anomaly Detection on Tennessee Eastman Process Data Fabian Hartung Billy Joe Franks Tobias Michels Dennis Wagner Philipp Liznerski ... Stephan Mandt Michael Bortz Jakob Burger Hans Hasse Marius Kloft 24 6 0 10 Mar 2023
Time series anomaly detection with reconstruction-based state-space models Fan Wang Keli Wang Boyu Yao AI4TS 19 0 0 06 Mar 2023
Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach S. Zamani H. Talebi Gunnar Stevens 13 4 0 28 Feb 2023
Set Features for Fine-grained Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen AI4TS 26 15 0 23 Feb 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series Max Schemmer Joshua Holstein Niklas Bauer Niklas Kühl G. Satzger 36 2 0 07 Feb 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang Xiao Wang AI4TS 39 33 0 07 Feb 2023
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting Katrina Chen M. Feng T. Wirjanto AI4TS 11 6 0 04 Feb 2023
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation Batuhan Altundas Zheyuan Wang Joshua Bishop Matthew C. Gombolay 39 4 0 30 Jan 2023
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series Usman Anjum Samuel Lin J. Zhan AI4TS 13 0 0 30 Jan 2023
A principled distributional approach to trajectory similarity measurement Yufan Wang Kai Ming Ting Yuanyi Shang 19 0 0 01 Jan 2023
Convolution-enhanced Evolving Attention Networks Yujing Wang Yaming Yang Zhuowan Li Jiangang Bai Mingliang Zhang Xiangtai Li Jiahao Yu Ce Zhang Gao Huang Yu Tong ViT 27 6 0 16 Dec 2022
Are we certain it's anomalous? Alessandro Flaborea Bardh Prenkaj Bharti Munjal Marco Aurelio Sterpa Dario Aragona L. Podo Fabio Galasso 24 8 0 16 Nov 2022
Deep Learning for Time Series Anomaly Detection: A Survey Zahra Zamanzadeh Darban G. I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 39 129 0 09 Nov 2022
Atlas flow : compatible local structures on the manifold Taejin Paik Jaemin Park J. Park 23 0 0 24 Oct 2022
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series Wadie Skaf Tomávs Horváth AI4TS 36 1 0 30 Aug 2022
CANdito: Improving Payload-based Detection of Attacks on Controller Area Networks Stefano Longari Alessandro Nichelini Carlo Alberto Pozzoli Michele Carminati S. Zanero 16 9 0 13 Aug 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label Qihang Zhou Jiming Chen Haoyu Liu Shibo He Wenchao Meng AI4TS 32 22 0 03 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 34 6 0 03 Aug 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection Hongzuo Xu Yijie Wang Songlei Jian Qing Liao Yongjun Wang Guansong Pang AI4TS 21 40 0 25 Jul 2022
RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers M. N. A. Islam Yihong Ma Pedro Antonio Alarcon Granadeno Nitesh V. Chawla J. Cleland-Huang AI4TS 11 13 0 18 Jul 2022
Task-aware Similarity Learning for Event-triggered Time Series Shaoyu Dou Kai Yang Yang Jiao Chengbo Qiu Kui Ren AI4TS 34 0 0 17 Jul 2022
Memory-free Online Change-point Detection: A Novel Neural Network Approach Zahra Atashgahi Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy AI4TS 24 8 0 08 Jul 2022
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue G. Tong Daniele E. Schiavazzi 35 3 0 05 Jul 2022
Crime scene classification from skeletal trajectory analysis in surveillance settings Alina Matei Estefanía Talavera Maya Aghaei 25 5 0 04 Jul 2022
Multivariate Time Series Anomaly Detection with Few Positive Samples Feng Xue Weizhong Yan AI4TS 21 3 0 02 Jul 2022
Generative Anomaly Detection for Time Series Datasets Zhuangwei Kang Ayan Mukhopadhyay A. Gokhale Shijie Wen Abhishek Dubey AI4TS 11 0 0 28 Jun 2022
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising Zikang Xiong Joe Eappen He Zhu Suresh Jagannathan AAML 29 10 0 14 Jun 2022
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream Susik Yoon Youngjun Lee Jae-Gil Lee Byung Suk Lee 16 22 0 09 Jun 2022
Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention Wenjing Dai Xiufeng Liu A. Heller P. S. Nielsen 17 4 0 08 Jun 2022
Perturbation Learning Based Anomaly Detection Jinyu Cai Jicong Fan AAML 29 26 0 06 Jun 2022
Psychotic Relapse Prediction in Schizophrenia Patients using A Mobile Sensing-based Supervised Deep Learning Model Bishal Lamichhane Joanne Zhou Akane Sano 15 2 0 24 May 2022
GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection Xu Chen Qiu Qiu Changshan Li Kunqing Xie AI4TS 21 12 0 23 May 2022
Artificial intelligence for topic modelling in Hindu philosophy: mapping themes between the Upanishads and the Bhagavad Gita Rohitash Chandra Mukul Ranjan AI4CE 19 12 0 23 May 2022
Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder S. Naito Yasunori Taguchi Kouta Nakata Yuichi Kato AI4TS 17 5 0 20 May 2022
Crypto Pump and Dump Detection via Deep Learning Techniques Viswanath Chadalapaka Kyle Chang Gireesh Mahajan Anuj Vasil 6 3 0 10 May 2022
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding Zhi Qi Hong Xie Ye Li Jian Tan Feifei Li John C. S. Lui AI4TS 13 1 0 05 May 2022
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series Yiwei Fu Feng Xue AI4TS 29 15 0 04 May 2022
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 28 15 0 26 Apr 2022