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GRATIS: GeneRAting TIme Series with diverse and controllable
  characteristics

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

7 March 2019
Yanfei Kang
Rob J. Hyndman
Feng Li
    AI4TS
ArXivPDFHTML

Papers citing "GRATIS: GeneRAting TIme Series with diverse and controllable characteristics"

13 / 13 papers shown
Title
A systematic data characteristic understanding framework towards physical-sensor big data challenges
A systematic data characteristic understanding framework towards physical-sensor big data challenges
Zhipeng Ma
Bo Nørregaard Jørgensen
Z. Ma
AI4CE
41
6
0
22 Jan 2025
Optimal starting point for time series forecasting
Optimal starting point for time series forecasting
Yiming Zhong
Yinuo Ren
Guangyao Cao
Feng Li
Haobo Qi
AI4TS
26
1
0
25 Sep 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
85
18
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
11
0
0
06 Mar 2024
Gait Data Augmentation using Physics-Based Biomechanical Simulation
Gait Data Augmentation using Physics-Based Biomechanical Simulation
Mritula Chandrasekaran
J. Francik
Dimitrios Makris
8
3
0
16 Jul 2023
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
14
4
0
24 Mar 2023
Controllable Data Generation by Deep Learning: A Review
Controllable Data Generation by Deep Learning: A Review
Shiyu Wang
Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Liang Zhao
26
28
0
19 Jul 2022
A review of machine learning concepts and methods for addressing
  challenges in probabilistic hydrological post-processing and forecasting
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting
Georgia Papacharalampous
Hristos Tyralis
AI4CE
14
28
0
17 Jun 2022
Forecast combinations: an over 50-year review
Forecast combinations: an over 50-year review
Xiaoqian Wang
Rob J. Hyndman
Feng Li
Yanfei Kang
AI4TS
17
138
0
09 May 2022
Feature-based intermittent demand forecast combinations: bias, accuracy
  and inventory implications
Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications
Li Li
Yanfei Kang
F. Petropoulos
Feng Li
16
11
0
18 Apr 2022
Features of the Earth's seasonal hydroclimate: Characterizations and
  comparisons across the Koppen-Geiger climates and across continents
Features of the Earth's seasonal hydroclimate: Characterizations and comparisons across the Koppen-Geiger climates and across continents
Georgia Papacharalampous
Hristos Tyralis
Y. Markonis
P. Máca
M. Hanel
BDL
8
0
0
13 Apr 2022
Forecasting: theory and practice
Forecasting: theory and practice
F. Petropoulos
D. Apiletti
Vassilios Assimakopoulos
M. Z. Babai
Devon K. Barrow
...
J. Arenas
Xiaoqian Wang
R. L. Winkler
Alisa Yusupova
F. Ziel
AI4TS
18
360
0
04 Dec 2020
Forecast with Forecasts: Diversity Matters
Forecast with Forecasts: Diversity Matters
Yanfei Kang
Wei Cao
F. Petropoulos
Feng Li
AI4TS
6
31
0
03 Dec 2020
1