Meta-learning and Data Augmentation for Stress Testing Forecasting Models

24 June 2024

Papers citing "Meta-learning and Data Augmentation for Stress Testing Forecasting Models"

7 / 7 papers shown

Title
Ensembles of Localised Models for Time Series Forecasting Rakshitha Godahewa Kasun Bandara Geoffrey I. Webb Slawek Smyl Christoph Bergmeir AI4TS 51 45 0 30 Dec 2020
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation Kasun Bandara Hansika Hewamalage Yuan-Hao Liu Yanfei Kang Christoph Bergmeir AI4TS 79 118 0 06 Aug 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 56 641 0 27 Feb 2020
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 625 5,769 0 25 Jul 2019
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics Yanfei Kang Rob J. Hyndman Feng Li AI4TS 59 106 0 07 Mar 2019
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,815 0 22 May 2017
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 348 25,621 0 09 Jun 2011