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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

12 January 2022
J. Pérez
Patricia Arroba
Jose M. Moya
ArXivPDFHTML

Papers citing "Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks"

11 / 11 papers shown
Title
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed
  Gradients
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Juntang Zhuang
Tommy M. Tang
Yifan Ding
S. Tatikonda
Nicha Dvornek
X. Papademetris
James S. Duncan
ODL
89
507
0
15 Oct 2020
Improving the Accuracy of Global Forecasting Models using Time Series
  Data Augmentation
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation
Kasun Bandara
Hansika Hewamalage
Yuan-Hao Liu
Yanfei Kang
Christoph Bergmeir
AI4TS
75
116
0
06 Aug 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 Networks
Brian Kenji Iwana
S. Uchida
AI4TS
46
499
0
31 Jul 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
124
1,873
0
11 Jun 2020
Biosignal Generation and Latent Variable Analysis with Recurrent
  Generative Adversarial Networks
Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks
S. Harada
Hideaki Hayashi
S. Uchida
GAN
46
21
0
17 May 2019
Improved Mixed-Example Data Augmentation
Improved Mixed-Example Data Augmentation
Cecilia Summers
M. Dinneen
49
160
0
29 May 2018
Data Augmentation of Wearable Sensor Data for Parkinson's Disease
  Monitoring using Convolutional Neural Networks
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks
T. T. Um
Franz MJ Pfister
Daniel C. Pichler
Satoshi Endo
Muriel Lang
Sandra Hirche
U. Fietzek
Dana Kulić
73
673
0
02 Jun 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
147
9,509
0
31 Mar 2017
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for
  Activity Recognition
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition
Chih-Yao Ma
Min-Hung Chen
Z. Kira
G. Al-Regib
AI4TS
58
241
0
30 Mar 2017
English Conversational Telephone Speech Recognition by Humans and
  Machines
English Conversational Telephone Speech Recognition by Humans and Machines
G. Saon
Gakuto Kurata
Tom Sercu
Kartik Audhkhasi
Samuel Thomas
...
Bhuvana Ramabhadran
M. Picheny
L. Lim
Bergul Roomi
Phil Hall
53
365
0
06 Mar 2017
SenseGen: A Deep Learning Architecture for Synthetic Sensor Data
  Generation
SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation
M. Alzantot
Supriyo Chakraborty
Mani B. Srivastava
45
126
0
31 Jan 2017
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