Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective-Reference-Cited by-同舟云学术

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Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective

Published:2023 Issue: Volume: Page:1-13
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

He Hui¹^ORCID,Zhang Qi²^ORCID,Wang Shoujin³^ORCID,Yi Kun²,Niu Zhendong²^ORCID,Cao Longbing⁴^ORCID

Affiliation:

1. School of Medical and Technology, Beijing Institute of Technology, Beijing, China

2. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

3. Data Science Institute, University of Technology Sydney, Ultimo, NSW, Australia

4. DataX Research Centre, School of Computing, Macquarie University, Sydney, NSW, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/10285474.pdf?arnumber=10285474

Cited by 1 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. STFormer: A dual-stage transformer model utilizing spatio-temporal graph embedding for multivariate time series forecasting;Journal of Intelligent & Fuzzy Systems;2024-03-05

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