Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation

6 August 2020

Papers citing "Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation"

28 / 28 papers shown

Title
Do global forecasting models require frequent retraining? Marco Zanotti 39 0 0 01 May 2025
Enhancing Strawberry Yield Forecasting with Backcasted IoT Sensor Data and Machine Learning Tewodros Alemu Ayall Andy Li Matthew Beddows Milan Markovic Georgios Leontidis 31 0 0 25 Apr 2025
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data Zhenyu Lei Yushun Dong Jundong Li Chen Chen AI4TS 80 0 0 14 Dec 2024
Evaluating the Role of Data Enrichment Approaches Towards Rare Event Analysis in Manufacturing Chathurangi Shyalika Ruwan Wickramarachchi Fadi El Kalach R. Harik Amit Sheth 26 3 0 01 Jul 2024
Meta-learning and Data Augmentation for Stress Testing Forecasting Models Ricardo Inácio Vítor Cerqueira Marília Barandas Carlos Soares 29 0 0 24 Jun 2024
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction Kai Zhao Zuojie He A. Hung Dan Zeng AI4TS 52 1 0 26 May 2024
Time Series Data Augmentation as an Imbalanced Learning Problem Vítor Cerqueira Nuno Moniz Ricardo Inácio Carlos Soares AI4TS 37 1 0 29 Apr 2024
Fractal interpolation in the context of prediction accuracy optimization Alexandra Baicoianu Cristina Gabriela Gavrila C. Păcurar V. Păcurar 19 1 0 01 Mar 2024
Adaptive Dependency Learning Graph Neural Networks Abishek Sriramulu Nicolas Fourrier Christoph Bergmeir AI4TS AI4CE 32 21 0 06 Dec 2023
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning Bryan C. Brandt P. Dasgupta 26 1 0 14 Apr 2023
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
Parameterizing the cost function of Dynamic Time Warping with application to time series classification Matthieu Herrmann Chang Wei Tan Geoffrey I. Webb AI4TS 19 11 0 24 Jan 2023
Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand Ankitha Nandipura Prasanna Priscila Grecov Angela Dieyu Weng Christoph Bergmeir 22 0 0 19 Sep 2022
Data Augmentation techniques in time series domain: A survey and taxonomy Guillermo Iglesias Edgar Talavera Ángel González-Prieto Alberto Mozo S. Gómez-Canaval AI4TS 19 156 0 25 Jun 2022
Financial Time Series Data Augmentation with Generative Adversarial Networks and Extended Intertemporal Return Plots Justin Hellermann Qinzhuan Qian Ankit Shah AI4TS 29 1 0 18 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 43 109 0 06 May 2022
Data Augmentation for Electrocardiograms Aniruddh Raghu Divya Shanmugam E. Pomerantsev John Guttag Collin M. Stultz 21 18 0 09 Apr 2022
Robust Augmentation for Multivariate Time Series Classification Hong Yang Travis J. Desell AI4TS 24 7 0 27 Jan 2022
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
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping Matthieu Herrmann Geoffrey I. Webb 14 2 0 26 Nov 2021
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts Dilini Sewwandi Rajapaksha Christoph Bergmeir Rob J. Hyndman FAtt AI4TS 11 13 0 13 Nov 2021
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management Sergio Cofre-Martel E. Droguett M. Modarres AI4CE 32 37 0 08 Oct 2021
MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns Kasun Bandara Rob J. Hyndman Christoph Bergmeir AI4TS 24 69 0 28 Jul 2021
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators Vítor Cerqueira Luís Torgo Carlos Soares AI4TS 15 6 0 01 Apr 2021
A novel weighted approach for time series forecasting based on visibility graph Tianxiang Zhan Fuyuan Xiao AI4TS 31 4 0 14 Mar 2021
Ensembles of Localised Models for Time Series Forecasting Rakshitha Godahewa Kasun Bandara Geoffrey I. Webb Slawek Smyl Christoph Bergmeir AI4TS 35 43 0 30 Dec 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 36 17 0 27 May 2020
Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen Liang Sun Fan Yang Xiaomin Song Jing Gao Xue Wang Huan Xu AI4TS 32 635 0 27 Feb 2020