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2206.09349
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Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks
19 June 2022
Zhaobin Mo
Yongjie Fu
Xuan Di
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Papers citing
"Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks"
4 / 4 papers shown
Title
AI-Powered Urban Transportation Digital Twin: Methods and Applications
Xuan Di
Yongjie Fu
Mehmet K.Turkcan
Mahshid Ghasemi
Zhaobin Mo
Chengbo Zang
Abhishek Adhikari
Z. Kostić
Gil Zussman
AI4CE
31
0
0
30 Dec 2024
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records
Weimin Lyu
Zexin Bi
Fusheng Wang
Chao Chen
42
5
0
06 Jul 2024
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook
Xuan Di
Rongye Shi
Zhaobin Mo
Yongjie Fu
PINN
AI4TS
AI4CE
24
28
0
03 Mar 2023
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
Yun Yuan
X. Yang
Zhao Zhang
Shandian Zhe
AI4CE
16
94
0
06 Feb 2020
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