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2007.15951
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An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
31 July 2020
Brian Kenji Iwana
S. Uchida
AI4TS
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Papers citing
"An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks"
26 / 26 papers shown
Title
Lightweight Defense Against Adversarial Attacks in Time Series Classification
Yi Han
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0
0
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Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
Salar Abbaspourazad
Anshuman Mishra
Joseph D. Futoma
Andrew C. Miller
Ian Shapiro
88
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0
15 Dec 2024
Towards Generalisable Time Series Understanding Across Domains
Özgün Turgut
Philip Muller
M. Menten
Daniel Rueckert
AI4TS
48
1
0
09 Oct 2024
A Survey of Transformer Enabled Time Series Synthesis
Alexander Sommers
Logan Cummins
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph Jaboure
Thomas Arnold
AI4TS
40
2
0
04 Jun 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
103
21
0
15 May 2024
Data Augmentation Policy Search for Long-Term Forecasting
Liran Nochumsohn
Omri Azencot
AI4TS
TPM
44
3
0
01 May 2024
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
Hyun Ryu
Sunjae Yoon
Hee Suk Yoon
Eunseop Yoon
Changdong Yoo
AI4TS
22
2
0
10 Dec 2023
Towards Diverse and Coherent Augmentation for Time-Series Forecasting
Xiyuan Zhang
Ranak Roy Chowdhury
Jingbo Shang
Rajesh K. Gupta
Dezhi Hong
AI4TS
29
4
0
24 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
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
Random Text Perturbations Work, but not Always
Zhengxiang Wang
DeLMO
8
1
0
02 Sep 2022
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Manuel Nonnenmacher
Lukas Oldenburg
Ingo Steinwart
David Reeb
AI4TS
21
21
0
23 Jun 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
38
1
0
22 May 2022
End-to-End Signal Classification in Signed Cumulative Distribution Transform Space
A. Rubaiyat
Shiying Li
Xuwang Yin
M. Shifat-E.-Rabbi
Zhuang Yan
Gustavo K. Rohde
17
13
0
30 Apr 2022
Enabling hand gesture customization on wrist-worn devices
Xuhai Xu
Jun Gong
Carolina Brum
Lilian Liang
Bongsoo Suh
...
Heri Nieto
Scott E. Hudson
Charlie Maalouf
S. Mousavi
Gierad Laput
25
65
0
29 Mar 2022
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks
Rebecca Adaimi
Edison Thomaz
CLL
21
13
0
11 Mar 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang
linda Qiao
AI4TS
25
119
0
08 Feb 2022
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
J. Pérez
Patricia Arroba
Jose M. Moya
27
14
0
12 Jan 2022
Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage Detection
Furkan Luleci
F. Catbas
Onur Avcı
13
44
0
07 Dec 2021
Analysis of the first Genetic Engineering Attribution Challenge
O. Crook
K. L. Warmbrod
G. Lipstein
Christine Chung
Christopher W. Bakerlee
...
Shelly R. Holland
Jacob Swett
K. Esvelt
E. C. Alley
W. Bradshaw
16
9
0
14 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
27
1
0
25 Sep 2021
How to avoid machine learning pitfalls: a guide for academic researchers
M. Lones
VLM
FaML
OnRL
62
77
0
05 Aug 2021
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
37
799
0
07 May 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
1