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Time Series Data Augmentation for Neural Networks by Time Warping with a
  Discriminative Teacher

Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher

International Conference on Pattern Recognition (ICPR), 2020
19 April 2020
Brian Kenji Iwana
S. Uchida
    AI4TS
ArXiv (abs)PDFHTMLGithub (345★)

Papers citing "Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher"

17 / 17 papers shown
Learning Time-Scale Invariant Population-Level Neural Representations
Learning Time-Scale Invariant Population-Level Neural Representations
Eshani Patel
Yisong Yue
Geeling Chau
AI4TS
131
0
0
17 Nov 2025
DS-Diffusion: Data Style-Guided Diffusion Model for Time-Series Generation
DS-Diffusion: Data Style-Guided Diffusion Model for Time-Series Generation
Mingchun Sun
Rongqiang Zhao
Hengrui Hu
Songyu Ding
Jie Liu
DiffM
267
0
0
23 Sep 2025
Invariant Features for Global Crop Type Classification
Invariant Features for Global Crop Type Classification
Xin-Yi Tong
Sherrie Wang
188
0
0
03 Sep 2025
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data EnvironmentsExpert systems with applications (ESWA), 2025
Anushiya Arunan
Yan Qin
Xiaoli Li
Yuen Chau
AI4TS
476
4
0
03 May 2025
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training
  Data
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training DataAAAI Conference on Artificial Intelligence (AAAI), 2024
Zhenyu Lei
Yushun Dong
Jundong Li
Chen Chen
AI4TS
389
5
0
14 Dec 2024
Data Augmentation for Multivariate Time Series Classification: An
  Experimental Study
Data Augmentation for Multivariate Time Series Classification: An Experimental Study
Romain Ilbert
Thai V. Hoang
Zonghua Zhang
240
5
0
10 Jun 2024
Data Augmentation for Time-Series Classification: An Extensive Empirical
  Study and Comprehensive Survey
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey
Zijun Gao
Lingbo Li
AI4TS
565
31
0
16 Oct 2023
Hybrid data driven/thermal simulation model for comfort assessment
Hybrid data driven/thermal simulation model for comfort assessmentLinköping Electronic Conference Proceedings (ECP), 2023
Romain Barbedienne
Sara Yasmine Ouerk
Mouadh Yagoubi
Hassan Bouia
Aurelie Kaemmerlen
Benoît Charrier
AI4CE
162
1
0
04 Sep 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A
  Current Survey
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Navid Mohammadi Foumani
Lynn Miller
Chang Wei Tan
G. I. Webb
Germain Forestier
Mahsa Salehi
BDLAI4TS
431
244
0
06 Feb 2023
On Mini-Batch Training with Varying Length Time Series
On Mini-Batch Training with Varying Length Time SeriesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Brian Kenji Iwana
AI4TS
185
4
0
13 Dec 2022
Assessing unconstrained surgical cuttings in VR using CNNs
Assessing unconstrained surgical cuttings in VR using CNNs
Ilias Chrysovergis
Manos N. Kamarianakis
Mike Kentros
Dimitris Angelís
Antonis I Protopsaltis
George Papagiannakis
136
1
0
02 May 2022
Data Augmentation for Electrocardiograms
Data Augmentation for ElectrocardiogramsACM Conference on Health, Inference, and Learning (ACM CHIL), 2022
Aniruddh Raghu
Divya Shanmugam
E. Pomerantsev
John Guttag
Collin M. Stultz
254
32
0
09 Apr 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear
  Temporal-Spectral Fusion
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral FusionInternational Conference on Machine Learning (ICML), 2022
Ling Yang
linda Qiao
AI4TS
445
171
0
08 Feb 2022
Fighting Money Laundering with Statistics and Machine Learning
Fighting Money Laundering with Statistics and Machine LearningIEEE Access (IEEE Access), 2022
R. Jensen
Alexandros Iosifidis
425
32
0
11 Jan 2022
DTW-Merge: A Novel Data Augmentation Technique for Time Series
  Classification
DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification
Mohammad Akyash
Hoda Mohammadzade
H. Behroozi
AI4TS
326
10
0
01 Mar 2021
Self-Supervised Time Series Representation Learning by Inter-Intra
  Relational Reasoning
Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning
Haoyi Fan
Fengbin Zhang
Yue Gao
AI4TS
238
20
0
27 Nov 2020
An Empirical Survey of Data Augmentation for Time Series Classification
  with Neural Networks
An Empirical Survey of Data Augmentation for Time Series Classification with Neural NetworksPLoS ONE (PLOS ONE), 2020
Brian Kenji Iwana
S. Uchida
AI4TS
575
628
0
31 Jul 2020
1
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