Deep learning for time series classification: a review

12 September 2018

Germain Forestier

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

50 / 560 papers shown

Title
Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision Naveen Kanigiri Manohar Suggula Debanjali Bhattacharya Neelam Sinha 13 1 0 27 Sep 2023
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels Gonzalo Uribarri Federico Barone A. Ansuini Erik Fransén AI4TS 19 5 0 25 Sep 2023
Early Churn Prediction from Large Scale User-Product Interaction Time Series S. Bhattacharjee Utkarsh Thukral Nilesh Patil AI4TS 9 1 0 25 Sep 2023
POCKET: Pruning Random Convolution Kernels for Time Series Classification from a Feature Selection Perspective Shaowu Chen Weize Sun Lei Huang Xiaopeng Li Qingyuan Wang Deepu John AI4TS 13 2 0 15 Sep 2023
An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone Ijazul Haq Byung Suk Lee Donna M. Rizzo J. Perdrial AI4TS 22 4 0 14 Sep 2023
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023 M. Jafari Delaram Sadeghi A. Shoeibi Hamid Alinejad-Rokny Amin Beheshti David López-García Zhaolin Chen U. Acharya Juan M Gorriz 8 6 0 14 Sep 2023
Judging a video by its bitstream cover Yuxing Han Yunan Ding Jiangtao Wen Chen Ye Gan 23 0 0 14 Sep 2023
Deep Attentive Time Warping Shinnosuke Matsuo Xiaomeng Wu Gantugs Atarsaikhan Akisato Kimura K. Kashino Brian Kenji Iwana Seiichi Uchida AI4TS 20 3 0 13 Sep 2023
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering F. Huang Yangdong Deng GAN AI4TS 17 1 0 09 Sep 2023
Physics-Informed Neural Networks for an optimal counterdiabatic quantum computation Antonio Ferrer-Sánchez Carlos Flores-Garrigós C. Hernani-Morales José J. Orquín-Marqués N. N. Hegade Alejandro Gomez Cadavid Iraitz Montalban Enrique Solano Yolanda Vives-Gilabert J. D. Martín-Guerrero 19 2 0 08 Sep 2023
TSGBench: Time Series Generation Benchmark Yihao Ang Qiang Huang Yifan Bao Anthony K. H. Tung Zhiyong Huang AI4TS 8 6 0 07 Sep 2023
Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios P. Goodarzi A. Schütze T. Schneider 14 0 0 28 Aug 2023
Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization Alireza Ghods T. Hoang Diane J. Cook AI4TS 14 0 0 26 Aug 2023
Deep Active Audio Feature Learning in Resource-Constrained Environments Md Mohaimenuzzaman Christoph Bergmeir B. Meyer 10 0 0 25 Aug 2023
Machine Learning-based Positioning using Multivariate Time Series Classification for Factory Environments Nisal Hemadasa Manikku Badu Marcus Venzke V. Turau Yanqiu Huang 14 0 0 22 Aug 2023
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection Zahra Zamanzadeh Darban Geoffrey I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 17 1 0 18 Aug 2023
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN M. A. Bashar R. Nayak AI4TS 26 1 0 13 Aug 2023
Knowledge Distilled Ensemble Model for sEMG-based Silent Speech Interface Wenqiang Lai Qihan Yang Ye Mao Endong Sun Jiangnan Ye RALM 14 0 0 07 Aug 2023
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series Chrysoula Kosma Giannis Nikolentzos Michalis Vazirgiannis AI4TS 6 5 0 06 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization Wang Lu Jindong Wang Xinwei Sun Yiqiang Chen Xiangyang Ji Qiang Yang Xingxu Xie OODD AI4TS 20 15 0 04 Aug 2023
Unsupervised Representation Learning for Time Series: A Review Qianwen Meng Hangwei Qian Yong Liu Yonghui Xu Zhiqi Shen Li-zhen Cui AI4TS 15 17 0 03 Aug 2023
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion Aurélien Renault A. Bondu V. Lemaire D. Gay AI4TS 17 1 0 02 Aug 2023
Shuffled Differentially Private Federated Learning for Time Series Data Analytics Chenxi Huang Chaoyang Jiang Zhenghua Chen FedML AI4TS 8 0 0 30 Jul 2023
RED CoMETS: An ensemble classifier for symbolically represented multivariate time series Luca A. Bennett Z. Abdallah AI4TS 11 1 0 25 Jul 2023
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers Md Fahim Sikder R. Ramachandranpillai Fredrik Heintz DiffM 6 9 0 24 Jul 2023
Identification of Stochasticity by Matrix-decomposition: Applied on Black Hole Data S. Chakka Sunil Kumar Vengalil Neelam Sinha 9 1 0 15 Jul 2023
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI U. Schlegel Daniel A. Keim AAML AI4TS 17 7 0 11 Jul 2023
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification Ashish Singh Antonio Bevilacqua Timilehin B. Aderinola Thach le Nguyen D. Whelan Martin O'Reilly Brian Caulfield Georgiana Ifrim 6 4 0 10 Jul 2023
inTformer: A Time-Embedded Attention-Based Transformer for Crash Likelihood Prediction at Intersections Using Connected Vehicle Data B. M. Tazbiul Zubayer Islam Mohamed Abdel-Aty 14 2 0 07 Jul 2023
Robot Motion Prediction by Channel State Information Rojin Zandi Hojjat Salehinejad Kian Behzad Elaheh Motamedi Milad Siami 11 6 0 07 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon C. Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 23 140 0 07 Jul 2023
Steel Surface Roughness Parameter Calculations Using Lasers and Machine Learning Models A. Milne Xianghua Xie AI4CE 11 0 0 06 Jul 2023
Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data Wenbo Ge Pooia Lalbakhsh Leigh Isai Artem Lenskiy Hanna Suominen OOD 7 3 0 20 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 106 97 0 16 Jun 2023
AQuA: A Benchmarking Tool for Label Quality Assessment Mononito Goswami Vedant Sanil Arjun Choudhry Arvind Srinivasan Chalisa Udompanyawit Artur Dubrawski 13 2 0 15 Jun 2023
Adaptive Modeling of Satellite-Derived Nighttime Lights Time-Series for Tracking Urban Change Processes Using Machine Learning S. Chakraborty Eleanor C. Stokes 14 3 0 14 Jun 2023
Feature Programming for Multivariate Time Series Prediction Alex Reneau Jerry Yao-Chieh Hu Chenwei Xu Weijian Li Ammar Gilani Han Liu AI4TS 18 6 0 09 Jun 2023
Robust Explainer Recommendation for Time Series Classification Thu Trang Nguyen Thach le Nguyen Georgiana Ifrim AI4TS 21 5 0 08 Jun 2023
MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs Raneen Younis Abdul Hakmeh Zahra Ahmadi AI4TS 13 6 0 06 Jun 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression V. Dheur Souhaib Ben Taieb BDL 17 13 0 05 Jun 2023
How neural networks learn to classify chaotic time series Alessandro Corbetta T. D. Jong AI4TS 16 0 0 04 Jun 2023
RITA: Group Attention is All You Need for Timeseries Analytics Jiaming Liang Lei Cao Samuel Madden Z. Ives Guoliang Li AI4TS 6 0 0 02 Jun 2023
Improving Position Encoding of Transformers for Multivariate Time Series Classification Navid Mohammadi Foumani Chang Wei Tan Geoffrey I. Webb Mahsa Salehi AI4TS 14 70 0 26 May 2023
Sequence-to-Sequence Forecasting-aided State Estimation for Power Systems Kamal Basulaiman M. Barati BDL AI4TS 8 4 0 22 May 2023
RWKV: Reinventing RNNs for the Transformer Era Bo Peng Eric Alcaide Quentin G. Anthony Alon Albalak Samuel Arcadinho ... Qihang Zhao P. Zhou Qinghua Zhou Jian Zhu Rui-Jie Zhu 14 550 0 22 May 2023
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set Ali Ismail-Fawaz Angus Dempster Chang Wei Tan Matthieu Herrmann Lynn Miller ... Stefano Berretti J. Weber Maxime Devanne Germain Forestier Geoffrey I. Webb 13 11 0 19 May 2023
A Survey on Time-Series Pre-Trained Models Qianli Ma Z. Liu Zhenjing Zheng Ziyang Huang Siying Zhu Zhongzhong Yu James T. Kwok AI4TS 11 50 0 18 May 2023
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data V. M. Vargas Riccardo Rosati César Hervás-Martinez A. Mancini L. Romeo Pedro Antonio Gutiérrez 11 6 0 17 May 2023
Time Series Clustering With Random Convolutional Kernels J. Marco-Blanco R. C. Rumín AI4TS 13 11 0 17 May 2023
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study V. Nguyen Truong Son-Hy Long Tran-Thanh N. Nghiem 11 5 0 12 May 2023