Time Series Data Augmentation for Deep Learning: A Survey

27 February 2020

Liang Sun

Papers citing "Time Series Data Augmentation for Deep Learning: A Survey"

45 / 45 papers shown

Title
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models Jingjing Xu Caesar Wu Yuan-Fang Li Grégoire Danoy Pascal Bouvry TPM AI4TS 42 0 0 03 Jan 2025
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data Eun Som Jeon Hongjun Choi A. Shukla Yuan Wang Hyunglae Lee M. Buman P. Turaga 27 3 0 07 Jul 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 97 21 0 15 May 2024
SoMeR: Multi-View User Representation Learning for Social Media Siyi Guo Keith Burghardt Valeria Pante Kristina Lerman AI4TS 21 0 0 02 May 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 44 3 0 01 May 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series Zahra Zamanzadeh Darban Yiyuan Yang Geoffrey I. Webb Charu C. Aggarwal Qingsong Wen Shirui Pan Mahsa Salehi 57 0 0 17 Apr 2024
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series Tien-Yu Chang Hao Dai Vincent S. Tseng AI4TS 27 0 0 01 Apr 2024
Probing the Robustness of Time-series Forecasting Models with CounterfacTS Haakon Hanisch Kjaernli Lluis Mas-Ribas Aida Ashrafi Gleb Sizov Helge Langseth Odd Erik Gundersen AI4TS 21 0 0 06 Mar 2024
Gait Data Augmentation using Physics-Based Biomechanical Simulation Mritula Chandrasekaran J. Francik Dimitrios Makris 30 3 0 16 Jul 2023
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series Alexander Nikitin Letizia Iannucci Samuel Kaski TTA SyDa AI4TS 29 10 0 19 May 2023
Towards Diverse and Coherent Augmentation for Time-Series Forecasting Xiyuan Zhang Ranak Roy Chowdhury Jingbo Shang Rajesh K. Gupta Dezhi Hong AI4TS 27 4 0 24 Mar 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting Ying Wu Yongchao Ye Adnan Zeb James J. Q. Yu Z. Wang AI4TS 24 7 0 16 Mar 2023
Label-efficient Time Series Representation Learning: A Review Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li AI4TS 27 13 0 13 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 55 21 0 04 Feb 2023
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning Thorsten Wittkopp Dominik Scheinert Philipp Wiesner Alexander Acker O. Kao AI4TS 18 6 0 25 Jan 2023
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement Che Liu Sibo Cheng Weiping Ding Rossella Arcucci 34 9 0 10 Jan 2023
Accelerating Dataset Distillation via Model Augmentation Lei Zhang Jie M. Zhang Bowen Lei Subhabrata Mukherjee Xiang Pan Bo-Lu Zhao Caiwen Ding Y. Li Dongkuan Xu DD 34 62 0 12 Dec 2022
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues Jiao Ou Jinchao Zhang Yang Feng Jie Zhou 33 13 0 30 Oct 2022
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data Raffaele Marchesi Nicolo Micheletti Giuseppe Jurman V. Osmani AI4TS 31 5 0 25 Oct 2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 32 66 0 18 Oct 2022
An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions Leonardos Pantiskas K. Verstoep Mark Hoogendoorn Henri E. Bal AI4TS 22 1 0 14 Oct 2022
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning Huiyuan Yang Han Yu Akane Sano AI4TS 19 5 0 13 Oct 2022
StyleTime: Style Transfer for Synthetic Time Series Generation Yousef El-Laham Svitlana Vyetrenko AI4TS 21 5 0 22 Sep 2022
Using Neural Networks by Modelling Semi-Active Shock Absorber Moritz Zink M. Schiele V. Ivanov 18 0 0 19 Jul 2022
Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies Omar Elnaggar Frans Coenen A. Hopkinson L. Mason Paolo Paoletti 36 1 0 22 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 40 109 0 06 May 2022
A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction Yuchen Dang Ziqi Chen Heng Li Hai Shu ELM BDL 14 26 0 11 Mar 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 24 29 0 21 Feb 2022
Video2IMU: Realistic IMU features and signals from videos Arttu Lämsä Jaakko Tervonen Jussi Liikka Constantino Álvarez Casado Miguel Bordallo López 19 5 0 14 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mañdziuk 120 41 0 28 Jan 2022
Fighting Money Laundering with Statistics and Machine Learning R. Jensen Alexandros Iosifidis 28 13 0 11 Jan 2022
A Multi-View Framework for BGP Anomaly Detection via Graph Attention Network Songtao Peng Jiaqi Nie Xincheng Shu Zhongyuan Ruan Lei Wang Yunxuan Sheng Qi Xuan AI4TS 17 20 0 23 Dec 2021
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation M. Temraz Markt. Keane 18 42 0 05 Nov 2021
Dual Attention-Based Federated Learning for Wireless Traffic Prediction Chuanting Zhang Shuping Dang B. Shihada Mohamed-Slim Alouini 23 84 0 11 Oct 2021
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management Sergio Cofre-Martel E. Droguett M. Modarres AI4CE 22 37 0 08 Oct 2021
Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning? Gregory B. Rehm Chao Wang I. Cortés-Puch Chen-Nee Chuah Jason Y. Adams 25 1 0 25 Sep 2021
Generatively Augmented Neural Network Watchdog for Image Classification Networks Justin Bui Glauco A. Amigo R. Marks 26 0 0 07 Sep 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 32 1,109 0 07 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 28 334 0 07 Jul 2021
Time Series Forecasting via Learning Convolutionally Low-Rank Models Guangcan Liu AI4TS 22 12 0 23 Apr 2021
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms Arafat Rahman M. Chowdhury Amith Khandakar S. Kiranyaz Kh Shahriya Zaman M. Reaz M. Islam M. A. Kadir 18 48 0 10 Mar 2021
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation Elizabeth Fons Paula Dawson Xiao-Jun Zeng J. Keane Alexandros Iosifidis AI4TS 15 23 0 16 Feb 2021
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher Brian Kenji Iwana S. Uchida AI4TS 19 86 0 19 Apr 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
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning Tailai Wen Roy Keyes AI4TS 39 125 0 31 May 2019