Deep learning for time series classification: a review

12 September 2018

Germain Forestier

Papers citing "Deep learning for time series classification: a review"

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Title
Appliance Detection Using Very Low-Frequency Smart Meter Time Series Adrien Petralia Philippe Charpentier Paul Boniol Themis Palpanas AI4TS 11 9 0 10 May 2023
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning Wei-Hung Weng Sebastien Baur Mayank Daswani Christina W. Chen Lauren Harrell ... S. Shetty Shruthi Prabhakara Yun-hui Liu G. Danaei Diego Ardila 22 7 0 09 May 2023
Lightweight Convolution Transformer for Cross-patient Seizure Detection in Multi-channel EEG Signals S. Rukhsar A. Tiwari 16 9 0 07 May 2023
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression David Guijo Rubio Matthew Middlehurst Guilherme G. Arcencio Diego Furtado Silva A. Bagnall AI4TS 19 9 0 02 May 2023
Bake off redux: a review and experimental evaluation of recent time series classification algorithms Matthew Middlehurst Patrick Schäfer A. Bagnall AI4TS 9 104 0 25 Apr 2023
Identifying Stochasticity in Time-Series with Autoencoder-Based Content-aware 2D Representation: Application to Black Hole Data Chakka Sai Pradeep Neelam Sinha AI4TS 6 1 0 23 Apr 2023
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks Baixiang Huang Bryan Hooi Kai Shu 11 2 0 17 Apr 2023
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series Ming-Chang Lee Jia-Chun Lin Volker Stolz AI4TS 9 1 0 12 Apr 2023
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series Matthieu Herrmann Chang Wei Tan Mahsa Salehi Geoffrey I. Webb AI4TS 10 8 0 12 Apr 2023
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models Daniel G. Krakowczyk Paul Prasse D. R. Reich Sebastian Lapuschkin Tobias Scheffer Lena A. Jäger 16 2 0 12 Apr 2023
Never a Dull Moment: Distributional Properties as a Baseline for Time-Series Classification Trent Henderson Annie G. Bryant Ben D. Fulcher OOD 14 5 0 31 Mar 2023
MusicFace: Music-driven Expressive Singing Face Synthesis Peng Liu W. Deng Hengda Li Jintai Wang Yinglin Zheng Yiwei Ding Xiaohu Guo Ming Zeng CVBM 22 10 0 24 Mar 2023
Wasserstein Adversarial Examples on Univariant Time Series Data Wenjie Wang Li Xiong Jian Lou AAML 11 0 0 22 Mar 2023
Building artificial neural circuits for domain-general cognition: a primer on brain-inspired systems-level architecture Jascha Achterberg Danyal Akarca Moataz Assem Moritz P. Heimbach D. Astle John Duncan AI4CE 20 4 0 21 Mar 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 6 17 0 17 Mar 2023
Explainable AI for Time Series via Virtual Inspection Layers Johanna Vielhaben Sebastian Lapuschkin G. Montavon Wojciech Samek XAI AI4TS 8 17 0 11 Mar 2023
Control of synaptic plasticity in neural networks M. Modiri 8 1 0 10 Mar 2023
EavesDroid: Eavesdropping User Behaviors via OS Side-Channels on Smartphones Quancheng Wang Ming Tang Jianming Fu AAML 8 1 0 07 Mar 2023
Learning Position From Vehicle Vibration Using an Inertial Measurement Unit B. Or Nimrod Segol Areej Eweida M. Freydin 8 5 0 06 Mar 2023
Deep Attention Recognition for Attack Identification in 5G UAV scenarios: Novel Architecture and End-to-End Evaluation Joseanne Viana Hamed Farkhari P. Sebastião L. M. Campos Katerina Koutlia Biljana Bojović S. Lagén R. Dinis AAML 30 10 0 03 Mar 2023
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders Mingyue Cheng Qi Liu Zhiding Liu Haotong Zhang Rujiao Zhang Enhong Chen AI4TS 21 42 0 01 Mar 2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version David Campos Miao Zhang B. Yang Tung Kieu Chenjuan Guo Christian S. Jensen AI4TS 27 46 0 24 Feb 2023
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective Zhengbao He Tao Li Sizhe Chen X. Huang AAML 31 4 0 23 Feb 2023
One Fits All:Power General Time Series Analysis by Pretrained LM Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 6 370 0 23 Feb 2023
FedST: Secure Federated Shapelet Transformation for Time Series Classification Zhiyu Liang Hongzhi Wang AI4TS 11 0 0 21 Feb 2023
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification Mingyue Cheng Qi Liu Zhiding Liu Zhi Li Yucong Luo Enhong Chen AI4TS 9 31 0 20 Feb 2023
Towards Zero-trust Security for the Metaverse Ruizhi Cheng Songqing Chen Bo Han 4 28 0 17 Feb 2023
Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion Mehryar Abbasi Parvaneh Saeedi AI4TS 6 6 0 13 Feb 2023
Label-efficient Time Series Representation Learning: A Review Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li AI4TS 17 13 0 13 Feb 2023
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification W. He Mingyue Cheng Qi Liu Zhi Li AI4TS 8 9 0 10 Feb 2023
Incorporating Total Variation Regularization in the design of an intelligent Query by Humming system Shivangi Ranjan Vishal Srivastava 12 0 0 09 Feb 2023
DeepVATS: Deep Visual Analytics for Time Series V. Rodríguez-Fernández David Montalvo F. Piccialli Grzegorz J. Nalepa David Camacho AI4TS 8 7 0 08 Feb 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang X. Wang AI4TS 26 32 0 07 Feb 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey Navid Mohammadi Foumani Lynn Miller Chang Wei Tan G. I. Webb Germain Forestier Mahsa Salehi BDL AI4TS 17 35 0 06 Feb 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 53 21 0 04 Feb 2023
Benchmarking optimality of time series classification methods in distinguishing diffusions Zehong Zhang Fei Lu Esther Xu Fei Terry Lyons Y. Kevrekidis Tom Woolf AI4TS 16 0 0 30 Jan 2023
Time-Series Pattern Recognition in Smart Manufacturing Systems: A Literature Review and Ontology Mojtaba A. Farahani M. R. McCormick Robert Gianinny Frank Hudacheck R. Harik Zhichao Liu Thorsten Wuest AI4TS 16 16 0 29 Jan 2023
Learning Reservoir Dynamics with Temporal Self-Modulation Yusuke Sakemi S. Nobukawa Toshitaka Matsuki Takashi Morie Kazuyuki Aihara 6 6 0 23 Jan 2023
Computational Solar Energy -- Ensemble Learning Methods for Prediction of Solar Power Generation based on Meteorological Parameters in Eastern India Debojyoti Chakraborty Jayeeta Mondal H. Barua A. Bhattacharjee 11 41 0 21 Jan 2023
Regular Time-series Generation using SGM Haksoo Lim Minjung Kim Sewon Park Noseong Park DiffM TTA AI4TS 12 23 0 20 Jan 2023
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification Florian Heinrichs Mavin Heim Corinna Weber OOD 14 3 0 14 Jan 2023
Learnable Path in Neural Controlled Differential Equations Sheo Yon Jhin Minju Jo Seung-Uk Kook Noseong Park Sungpil Woo Sunhwan Lim 11 5 0 11 Jan 2023
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement Che Liu Sibo Cheng Weiping Ding Rossella Arcucci 26 5 0 10 Jan 2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement Y. Li Xin-xin Lu Yaqing Wang De-Yu Dou DiffM AI4TS 14 99 0 08 Jan 2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting Syed Kazmi Berk Görgülü Mucahit Cevik M. Baydogan 17 4 0 02 Jan 2023
Crop mapping in the small sample/no sample case: an approach using a two-level cascade classifier and integrating domain knowledge Yunze Zang Yifei Liu Xuehong Chen Anqi Li Yichen Zhai ... Luling Liu Chuanhai Zhu Rui-Fen Chen Shupeng Li Na Jie 19 0 0 26 Dec 2022
ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data Zhirui Luo Ruobin Qi Qingqing Li Jun Zheng Sihua Shao 14 3 0 21 Dec 2022
Dynamic Sparse Network for Time Series Classification: Learning What to "see'' Qiao Xiao Boqian Wu Yu Zhang Shiwei Liu Mykola Pechenizkiy Elena Mocanu D. Mocanu AI4TS 17 28 0 19 Dec 2022
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification Andrea Falanti Eugenio Lomurno Danilo Ardagna Matteo Matteucci AI4TS 23 11 0 13 Dec 2022
Graph Convolutional Networks for Traffic Forecasting with Missing Values Jingwei Zuo K. Zeitouni Y. Taher Sandra García-Rodríguez GNN AI4TS 14 39 0 13 Dec 2022