Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting-Reference-Cited by-同舟云学术

Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting

Published:2022 Issue: Volume:10 Page:11871-11885
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Munkhdalai Lkhagvadorj^ORCID,Munkhdalai Tsendsuren,Pham Van-Huy^ORCID,Li Meijing^ORCID,Ryu Keun Ho^ORCID,Theera-Umpon Nipon^ORCID

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning, South Korea

National Natural Science Foundation of China, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09690850.pdf?arnumber=9690850

Reference46 articles.

1. A new bootstrapped hybrid artificial neural network approach for time series forecasting;fildes;Comput Econ,2020

2. GEV-NN: A deep neural network architecture for class imbalance problem in binary classification

3. Hypernetworks;ha;Proc ICLR,2017

4. Metalearned neural memory;munkhdalai;Proc NIPS,2019

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An interpretable multi-scaled agent hierarchy for time series prediction;Expert Systems with Applications;2024-10

2. Enhancing Interpretability of Electrical Load Forecasting with Architecture Optimization;Proceedings of the 2024 ACM Southeast Conference on ZZZ;2024-04-18

3. Enhancing Time Series Data Predictions: A Survey of Augmentation Techniques and Model Performances;Proceedings of the 2024 Australasian Computer Science Week;2024-01-29

4. Rice Yield Production Forecasting using Deep Learning Models;2023 International Conference on Networking, Electrical Engineering, Computer Science, and Technology (IConNECT);2023-08-25

5. Predicting Saudi Stock Market Index by Using Multivariate Time Series Based on Deep Learning;Applied Sciences;2023-07-19