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Time Series Data Augmentation for Deep Learning: A Survey

Time Series Data Augmentation for Deep Learning: A Survey

27 February 2020
Qingsong Wen
Liang Sun
Fan Yang
Xiaomin Song
Jing Gao
Xue Wang
Huan Xu
    AI4TS
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Papers citing "Time Series Data Augmentation for Deep Learning: A Survey"

24 / 24 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
35
0
0
03 Jan 2025
Topological Persistence Guided Knowledge Distillation for Wearable
  Sensor Data
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
Eun Som Jeon
Hongjun Choi
A. Shukla
Yuan Wang
Hyunglae Lee
M. Buman
P. Turaga
20
3
0
07 Jul 2024
A Comprehensive Survey on Data Augmentation
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
85
18
0
15 May 2024
SoMeR: Multi-View User Representation Learning for Social Media
SoMeR: Multi-View User Representation Learning for Social Media
Siyi Guo
Keith Burghardt
Valeria Pante
Kristina Lerman
AI4TS
13
0
0
02 May 2024
Data Augmentation Policy Search for Long-Term Forecasting
Data Augmentation Policy Search for Long-Term Forecasting
Liran Nochumsohn
Omri Azencot
AI4TS
TPM
29
2
0
01 May 2024
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive
  Policies For Time Series
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series
Tien-Yu Chang
Hao Dai
Vincent S. Tseng
AI4TS
19
0
0
01 Apr 2024
Probing the Robustness of Time-series Forecasting Models with
  CounterfacTS
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
11
0
0
06 Mar 2024
Gait Data Augmentation using Physics-Based Biomechanical Simulation
Gait Data Augmentation using Physics-Based Biomechanical Simulation
Mritula Chandrasekaran
J. Francik
Dimitrios Makris
8
3
0
16 Jul 2023
Towards Diverse and Coherent Augmentation for Time-Series Forecasting
Towards Diverse and Coherent Augmentation for Time-Series Forecasting
Xiyuan Zhang
Ranak Roy Chowdhury
Jingbo Shang
Rajesh K. Gupta
Dezhi Hong
AI4TS
14
4
0
24 Mar 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
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
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning
Thorsten Wittkopp
Dominik Scheinert
Philipp Wiesner
Alexander Acker
O. Kao
AI4TS
10
6
0
25 Jan 2023
Counterfactual Data Augmentation via Perspective Transition for
  Open-Domain Dialogues
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues
Jiao Ou
Jinchao Zhang
Yang Feng
Jie Zhou
16
13
0
30 Oct 2022
Mitigating Health Data Poverty: Generative Approaches versus Resampling
  for Time-series Clinical Data
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data
Raffaele Marchesi
Nicolo Micheletti
Giuseppe Jurman
V. Osmani
AI4TS
10
5
0
25 Oct 2022
StyleTime: Style Transfer for Synthetic Time Series Generation
StyleTime: Style Transfer for Synthetic Time Series Generation
Yousef El-Laham
Svitlana Vyetrenko
AI4TS
6
5
0
22 Sep 2022
Sleep Posture One-Shot Learning Framework Using Kinematic Data
  Augmentation: In-Silico and In-Vivo Case Studies
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
18
1
0
22 May 2022
Model-Agnostic Augmentation for Accurate Graph Classification
Model-Agnostic Augmentation for Accurate Graph Classification
Jaemin Yoo
Sooyeon Shim
U. Kang
GNN
6
29
0
21 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's
  Progressive Matrices
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices
Mikolaj Malkiñski
Jacek Mañdziuk
107
41
0
28 Jan 2022
A Multi-View Framework for BGP Anomaly Detection via Graph Attention
  Network
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
9
19
0
23 Dec 2021
Big Machinery Data Preprocessing Methodology for Data-Driven Models in
  Prognostics and Health Management
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
Sergio Cofre-Martel
E. Droguett
M. Modarres
AI4CE
4
37
0
08 Oct 2021
Generatively Augmented Neural Network Watchdog for Image Classification
  Networks
Generatively Augmented Neural Network Watchdog for Image Classification Networks
Justin Bui
Glauco A. Amigo
R. Marks
13
0
0
07 Sep 2021
Time Series Forecasting via Learning Convolutionally Low-Rank Models
Time Series Forecasting via Learning Convolutionally Low-Rank Models
Guangcan Liu
AI4TS
9
12
0
23 Apr 2021
Multimodal EEG and Keystroke Dynamics Based Biometric System Using
  Machine Learning Algorithms
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
8
47
0
10 Mar 2021
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and
  Convolutional Neural Networks
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
8
128
0
21 Feb 2020
Time Series Anomaly Detection Using Convolutional Neural Networks and
  Transfer Learning
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Tailai Wen
Roy Keyes
AI4TS
25
109
0
31 May 2019
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