Time series forecasting with missing data using neural network and meta-transfer learning-Reference-Cited by-同舟云学术

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Time series forecasting with missing data using neural network and meta-transfer learning

Published:2021-12-05 Issue: Volume: Page:
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Container-title:2021 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Maya Mario,Yu Wen,Li Xiaoou

Funder

CONACYT

CINVESTAV

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9659537/9659538/09659864.pdf?arnumber=9659864

Reference21 articles.

1. Time series forecasting with deep learning: A survey;lim;Philosophical Transactions of the Royal Society A 2020,2020

2. Domain-adversarial training of neural networks;ganin;Journal of Machine Learning Research,2016

3. Multi-Step Forecasting of Earthquake Magnitude Using Meta-Learning Based Neural Networks

4. Cross-domain Meta-learning for Time-series Forecasting

5. Meta-learning for time series forecasting and forecast combination

Cited by 3 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. Time Series Forecasting with Missing Data Using Generative Adversarial Networks and Bayesian Inference;Information;2024-04-15

2. Neural Networks with Transfer Learning and Frequency Decomposition for Wind Speed Prediction with Missing Data;Mathematics;2024-04-10

3. Time Series Forecasting With Volatility Activation Function;IEEE Access;2022

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