Uncertainty Quantification via Spatial-Temporal Tweedie Model for
Zero-inflated and Long-tail Travel Demand Prediction

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction

16 June 2023

Hao Chen

Papers citing "Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction"

10 / 10 papers shown

Title
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution Songran Bai Yuheng Ji Yue Liu Xingwei Zhang Xiaolong Zheng D. Zeng 41 0 0 01 Apr 2025
Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning Runchuan Zhu Zhipeng Ma Jiang Wu Junyuan Gao Jiaqi Wang Dahua Lin Conghui He 15 2 0 09 Oct 2024
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks Dingyi Zhuang Yuheng Bu Guang Wang Shenhao Wang Jinhua Zhao BDL 24 1 0 13 Sep 2024
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks Zepu Wang Xiaobo Ma Huajie Yang Weimin Lvu Peng Sun Sharath Chandra Guntuku 21 2 0 08 Aug 2024
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network Dingyi Zhuang Qingyi Wang Yunhan Zheng Xiaotong Guo Shenhao Wang Haris N. Koutsopoulos Jinhua Zhao 19 0 0 23 May 2024
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks Yifan Duan Guibin Zhang Shilong Wang Xiaojiang Peng Ziqi Wang Junyuan Mao Hao Wu Xinke Jiang Kun Wang 41 6 0 22 Feb 2024
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation Ruizhe Zhang Xinke Jiang Yuchen Fang Jiayuan Luo Yongxin Xu Yichen Zhu Xu Chu Junfeng Zhao Yasha Wang 21 1 0 18 Jan 2024
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 33 24 0 26 Nov 2023
Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction Xiaowei Gao Xinke Jiang Dingyi Zhuang Huanfa Chen Shenhao Wang Stephen Law James Haworth 13 7 0 10 Sep 2023
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks Zepu Wang Dingyi Zhuang Yankai Li Jinhua Zhao Peng Sun Shenhao Wang Yulin Hu GNN AI4TS 14 15 0 10 May 2023