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Fractal interpolation in the context of prediction accuracy optimization

Fractal interpolation in the context of prediction accuracy optimization

Alexandra Baicoianu
Cristina Gabriela Gavrila
C. Păcurar
V. Păcurar
ArXiv (abs)PDFHTML

Papers citing "Fractal interpolation in the context of prediction accuracy optimization"

5 / 5 papers shown
Title
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
122
120
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
59
504
0
31 Jul 2020
Time Series Data Augmentation for Deep Learning: A Survey
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen
Liang Sun
Fan Yang
Xiaomin Song
Jing Gao
Xue Wang
Huan Xu
AI4TS
99
645
0
27 Feb 2020
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
Yanfei Kang
Rob J. Hyndman
Feng Li
AI4TS
67
106
0
07 Mar 2019
Data augmentation using synthetic data for time series classification with deep residual networks
Data augmentation using synthetic data for time series classification with deep residual networks
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
75
145
0
07 Aug 2018

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