Funder
Central South University
National Natural Science Foundation of China
Ministry of Education of the People's Republic of China
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference67 articles.
1. Extended four-step travel demand forecasting model for urban planning;Agrawal;Lecture Notes in Networks and Systems,2018
2. Bai, L., Yao, L., Kanhere, S. S., Wang, X., & Sheng, Q. Z. (2019a). StG2seq: Spatial-temporal graph to sequence model for multi-step passenger demand forecasting. IJCAI International Joint Conference on Artificial Intelligence, 2019-Augus, 1981–1987. https://doi.org/10.24963/ijcai.2019/274.
3. Bai, S., Zico Kolter, J., & Koltun, V. (2019b). Trellis networks for sequence modeling. 7th International Conference on Learning Representations, ICLR 2019, 103, 1–18.
4. Subway passenger flow prediction for special events using smart card data;Chen;IEEE Transactions on Intelligent Transportation Systems,2020
5. MXNet: A flexible and efficient machine learning library for heterogeneous distributed systems;Chen;ArXiv,2015
Cited by
32 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