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Multivariate time series (MTS) data are becoming increasingly ubiquitous in diverse domains, e.g., IoT systems, health informatics, and 5G networks.
Fast subsequence matching in time-series databases
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Efficient time series matching by wavelets
K. Chan and A. W. Fu · 1999
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LOF: Identifying density-based local outliers
Markus M Breunig, Hans-Peter Kriegel, Raymond T Ng, and Jörg Sander · 2000
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Locally adaptive dimensionality reduction for indexing large time series databases
E. Keogh, Chakrabarti, M. K., Pazzani, and S. Mehrotra · 2001
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Bernhard Schölkopf, John C Platt, John Shawe-Taylor, Alex J Smola, and Robert C Williamson · 2001
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Robust and fast similarity search for moving object trajectories
Lei Chen, M Tamer Özsu, and Vincent Oria · 2005
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Comparative evaluation of anomaly detection techniques for sequence data
Varun Chandola, Varun Mithal, and Vipin Kumar · 2008
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Isolation forest
Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou · 2008
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A global averaging method for dynamic time warping, with applications to clustering
François Petitjean, Alain Ketterlin, and Pierre Gançarski · 2011
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Random search for hyper-parameter optimization
James Bergstra and Yoshua Bengio · 2012
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The UCR time series classification archive, July 2015
Yanping Chen, Eamonn Keogh, Bing Hu, Nurjahan Begum, Anthony Bagnall, Abdullah Mueen, and Gustavo Batista · 2015
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K-shape: Efficient and accurate clustering of time series
John Paparrizos and Luis Gravano · 2015
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Taking the human out of the loop: A review of bayesian optimization
Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P Adams, and Nando De Freitas · 2015
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LSTM-based encoder-decoder for multi-sensor anomaly detection
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SVM parameter optimization using grid search and genetic algorithm to improve classification performance
Iwan Syarif, Adam Prugel-Bennett, and Gary Wills · 2016
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Unsupervised deep embedding for clustering analysis
Junyuan Xie, Ross Girshick, and Ali Farhadi · 2016
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Improved deep embedded clustering with local structure preservation
Xifeng Guo, Long Gao, Xinwang Liu, and Jianping Yin · 2017
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Autowarp: Learning a warping distance from unlabeled time series using sequence autoencoders
Abubakar Abid and James Zou · 2018
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The uea multivariate time series classification archive, 2018
Anthony Bagnall, Hoang Anh Dau, Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam, and Eamonn Keogh · 2018
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BRITS: Bidirectional recurrent imputation for time series
Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, and Yitan Li · 2018
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Recurrent neural networks for multivariate time series with missing values
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag, and Yan Liu · 2018
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E2GAN: End-to-end generative adversarial network for multivariate time series imputation
Yonghong Luo, Ying Zhang, Xiangrui Cai, and Xiaojie Yuan · 2019
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Learning representations for time series clustering
Qianli Ma, Jiawei Zheng, Sen Li, and Gary W Cottrell · 2019
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Warping resilient time series embeddings
Anish Mathew, Sahely Bhadra, et al · 2019
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Fast neural architecture search of compact semantic segmentation models via auxiliary cells
Vladimir Nekrasov, Hao Chen, Chunhua Shen, and Ian Reid · 2019
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Deep anomaly detection with deviation networks
Guansong Pang, Chunhua Shen, and Anton van den Hengel · 2019
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Latent ordinary differential equations for irregularly-sampled time series
Yulia Rubanova, Ricky TQ Chen, and David K Duvenaud · 2019
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SOM-VAE: Interpretable discrete representation learning on time series
Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, and Gunnar Rätsch · 2018
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Temporal belief memory: Imputing missing data during rnn training
Yeo-Jin Kim and Min Chi · 2018
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Multivariate time series imputation with generative adversarial networks
Yonghong Luo, Xiangrui Cai, Ying Zhang, Jun Xu, et al · 2018
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Deep temporal clustering: Fully unsupervised learning of time-domain features
Naveen Sai Madiraju, Seid M Sadat, Dimitry Fisher, and Homa Karimabadi · 2018
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Deep autoencoding gaussian mixture model for unsupervised anomaly detection
Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Daeki Cho, and Haifeng Chen · 2018
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Resource optimized neural architecture search for 3D medical image segmentation
Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, and Kyu-Hwan Jung · 2019
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Unsupervised scalable representation learning for multivariate time series
Jean-Yves Franceschi, Aymeric Dieuleveut, and Martin Jaggi · 2019
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Deep semi-supervised anomaly detection
Lukas Ruff, Robert A Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, and Marius Kloft · 2019
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Interpolation-prediction networks for irregularly sampled time series
Satya Narayan Shukla and Benjamin M Marlin · 2019
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NAS-UNET: Neural architecture search for medical image segmentation
Yu Weng, Tianbao Zhou, Yujie Li, and Xiaoyu Qiu · 2019
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Auto-FPN: Automatic network architecture adaptation for object detection beyond classification
Hang Xu, Lewei Yao, Wei Zhang, Xiaodan Liang, and Zhenguo Li · 2019
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Time-series generative adversarial networks
Jinsung Yoon, Daniel Jarrett, and Mihaela van der Schaar · 2019
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BeatGAN: Anomalous rhythm detection using adversarially generated time series
Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, and Jing Ye · 2019
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Searching better architectures for neural machine translation
Yang Fan, Fei Tian, Yingce Xia, Tao Qin, Xiang-Yang Li, and Tie-Yan Liu · 2020
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Time series analysis and forecasting with automated machine learning on a national ICD-10 database
Victor Olsavszky, Mihnea Dosius, Cristian Vladescu, and Johannes Benecke · 2020
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Mcfly: Automated deep learning on time series
D van Kuppevelt, C Meijer, F Huber, A van der Ploeg, S Georgievska, and VT van Hees · 2020
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