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Uncertainty-aware Traffic Prediction under Missing Data

Uncertainty-aware Traffic Prediction under Missing Data

13 September 2023
Hao Mei
Junxian Li
Zhiming Liang
Guanjie Zheng
Bin Shi
Hua Wei
    EDL
ArXivPDFHTML

Papers citing "Uncertainty-aware Traffic Prediction under Missing Data"

6 / 6 papers shown
Title
Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance
Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance
Soo-joon Choi
Ji-jun Park
41
0
0
20 Apr 2025
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks
Qishen Zhou
Yifan Zhang
Michail A. Makridis
Anastasios Kouvelas
Yibing Wang
Simon Hu
AI4TS
75
1
0
21 Jan 2025
Shaded Route Planning Using Active Segmentation and Identification of
  Satellite Images
Shaded Route Planning Using Active Segmentation and Identification of Satellite Images
Longchao Da
Rohan Chhibba
Rushabh Jaiswal
Ariane Middel
Hua Wei
24
1
0
18 Jul 2024
Uncertainty Regularized Evidential Regression
Uncertainty Regularized Evidential Regression
Kai Ye
Tiejin Chen
Hua Wei
Liang Zhan
UQCV
EDL
22
7
0
03 Jan 2024
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1