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T-CGAN: Conditional Generative Adversarial Network for Data Augmentation
  in Noisy Time Series with Irregular Sampling

T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling

20 November 2018
Giorgia Ramponi
P. Protopapas
Marco Brambilla
Ryan Janssen
    AI4TS
    TTA
ArXivPDFHTML

Papers citing "T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling"

13 / 13 papers shown
Title
Synthesis of pulses from particle detectors with a Generative
  Adversarial Network (GAN)
Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN)
A. Regadío
Luis Esteban
S. Sánchez-Prieto
GAN
42
2
0
10 Jan 2024
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
32
4
0
24 Mar 2023
Quantifying Quality of Class-Conditional Generative Models in
  Time-Series Domain
Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain
Alireza Koochali
Maria Walch
Sankrutyayan Thota
P. Schichtel
Andreas Dengel
Sheraz Ahmed
EGVM
30
3
0
14 Oct 2022
Multi-Label Clinical Time-Series Generation via Conditional GAN
Multi-Label Clinical Time-Series Generation via Conditional GAN
C. Lu
Chandan K. Reddy
Ping Wang
Dong Nie
Yue Ning
SyDa
40
26
0
10 Apr 2022
Data augmentation through multivariate scenario forecasting in Data
  Centers using Generative Adversarial Networks
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
Deep Learning in Human Activity Recognition with Wearable Sensors: A
  Review on Advances
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Shibo Zhang
Yaxuan Li
Shen Zhang
Farzad Shahabi
S. Xia
Yuanbei Deng
N. Alshurafa
BDL
23
296
0
31 Oct 2021
ASAT: Adaptively Scaled Adversarial Training in Time Series
ASAT: Adaptively Scaled Adversarial Training in Time Series
Zhiyuan Zhang
Wei Li
Ruihan Bao
Keiko Harimoto
Yunfang Wu
Xu Sun
AI4TS
27
5
0
20 Aug 2021
A Spectral Enabled GAN for Time Series Data Generation
A Spectral Enabled GAN for Time Series Data Generation
Kaleb E. Smith
Anthony O. Smith
GAN
30
12
0
02 Mar 2021
Conditional GAN for timeseries generation
Conditional GAN for timeseries generation
Kaleb E. Smith
Anthony O. Smith
AI4TS
16
77
0
30 Jun 2020
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from
  Video for Human Activity Recognition
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition
Hyeokhyen Kwon
C. Tong
H. Haresamudram
Yan Gao
G. Abowd
Nicholas D. Lane
Thomas Ploetz
13
83
0
29 May 2020
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast
  With GAN
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN
Alireza Koochali
Andreas Dengel
Sheraz Ahmed
AI4TS
36
31
0
03 May 2020
Exploring Bias in GAN-based Data Augmentation for Small Samples
Exploring Bias in GAN-based Data Augmentation for Small Samples
Mengxiao Hu
Jinlong Li
11
20
0
21 May 2019
C-RNN-GAN: Continuous recurrent neural networks with adversarial
  training
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
GAN
77
514
0
29 Nov 2016
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