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Data Augmentation techniques in time series domain: A survey and
  taxonomy

Data Augmentation techniques in time series domain: A survey and taxonomy

25 June 2022
Guillermo Iglesias
Edgar Talavera
Ángel González-Prieto
Alberto Mozo
S. Gómez-Canaval
    AI4TS
ArXivPDFHTML

Papers citing "Data Augmentation techniques in time series domain: A survey and taxonomy"

13 / 13 papers shown
Title
Relaxed Equivariance via Multitask Learning
Relaxed Equivariance via Multitask Learning
Ahmed A. A. Elhag
T. Konstantin Rusch
Francesco Di Giovanni
Michael Bronstein
50
2
0
23 Oct 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for
  Image Classification
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
Suorong Yang
Furao Shen
Jian Zhao
AAML
34
1
0
10 Sep 2024
Macroeconomic Forecasting with Large Language Models
Macroeconomic Forecasting with Large Language Models
Andrea Carriero
Davide Pettenuzzo
Shubhranshu Shekhar
54
4
0
01 Jul 2024
A Survey of Transformer Enabled Time Series Synthesis
A Survey of Transformer Enabled Time Series Synthesis
Alexander Sommers
Logan Cummins
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph Jaboure
Thomas Arnold
AI4TS
43
2
0
04 Jun 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
109
22
0
15 May 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
23
0
0
06 Mar 2024
Collinear datasets augmentation using Procrustes validation sets
Collinear datasets augmentation using Procrustes validation sets
Sergey Kucheryavskiy
Sergei Zhilin
22
0
0
08 Dec 2023
MC-GEN:Multi-level Clustering for Private Synthetic Data Generation
MC-GEN:Multi-level Clustering for Private Synthetic Data Generation
Mingchen Li
Di Zhuang
Jerome Chang
SyDa
19
6
0
28 May 2022
How to avoid machine learning pitfalls: a guide for academic researchers
How to avoid machine learning pitfalls: a guide for academic researchers
M. Lones
VLM
FaML
OnRL
62
77
0
05 Aug 2021
Anomaly Detection of Time Series with Smoothness-Inducing Sequential
  Variational Auto-Encoder
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder
Longyuan Li
Junchi Yan
Haiyang Wang
Yaohui Jin
BDL
AI4TS
37
135
0
02 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
294
10,354
0
12 Dec 2018
C-RNN-GAN: Continuous recurrent neural networks with adversarial
  training
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
GAN
77
512
0
29 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,450
0
21 Nov 2016
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