A Spatio-Temporal Approach with Self-Corrective Causal Inference for Flight Delay Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Qihui, Chen, Shenwen, Guo, Tong, Lv, Yisheng, Du, Wenbo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
by: Koistinen, Kosti, et al.
Published: (2026)
by: Koistinen, Kosti, et al.
Published: (2026)
Efficient Traffic Prediction Through Spatio-Temporal Distillation
by: Zhang, Qianru, et al.
Published: (2025)
by: Zhang, Qianru, et al.
Published: (2025)
CIDER: Counterfactual-Invariant Diffusion-based GNN Explainer for Causal Subgraph Inference
by: Zhang, Qibin, et al.
Published: (2024)
by: Zhang, Qibin, et al.
Published: (2024)
CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting
by: Wan, Shu, et al.
Published: (2025)
by: Wan, Shu, et al.
Published: (2025)
An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
by: Karkaria, Vispi, et al.
Published: (2025)
by: Karkaria, Vispi, et al.
Published: (2025)
Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions
by: Park, Jaewan, et al.
Published: (2025)
by: Park, Jaewan, et al.
Published: (2025)
Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
by: Zhu, Zhuohang, et al.
Published: (2025)
by: Zhu, Zhuohang, et al.
Published: (2025)
Rigid-Deformation Decomposition AI Framework for 3D Spatio-Temporal Prediction of Vehicle Collision Dynamics
by: Kim, Sanghyuk, et al.
Published: (2025)
by: Kim, Sanghyuk, et al.
Published: (2025)
DRO-Based Computation Offloading and Trajectory Design for Low-Altitude Networks
by: Jiang, Guanwang, et al.
Published: (2025)
by: Jiang, Guanwang, et al.
Published: (2025)
Predicting the Temporal Dynamics of Prosthetic Vision
by: Hou, Yuchen, et al.
Published: (2024)
by: Hou, Yuchen, et al.
Published: (2024)
InferenceEvolve: Towards Automated Causal Effect Estimators through Self-Evolving AI
by: Wang, Can, et al.
Published: (2026)
by: Wang, Can, et al.
Published: (2026)
Integrating Optimal Transport and Structural Inference Models for GRN Inference from Single-cell Data
by: Tong, Tsz Pan, et al.
Published: (2024)
by: Tong, Tsz Pan, et al.
Published: (2024)
Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction
by: Du, Yimin
Published: (2025)
by: Du, Yimin
Published: (2025)
Kolmogorov-Arnold Network for Gene Regulatory Network Inference
by: Tong, Tsz Pan, et al.
Published: (2025)
by: Tong, Tsz Pan, et al.
Published: (2025)
Hybrid Fusion for Battery Degradation Diagnostics Using Minimal Real-World Data: Bridging Laboratory and Practical Applications
by: Liu, Yisheng, et al.
Published: (2024)
by: Liu, Yisheng, et al.
Published: (2024)
Temperature Prediction for Stored Grain: A Multi-model Fusion Approach Based on Machine Learning
by: Chen, Donghao, et al.
Published: (2024)
by: Chen, Donghao, et al.
Published: (2024)
Nonlinear Model Order Reduction for Coupled Aeroelastic-Flight Dynamic Systems
by: Tantaroudas, Nikolaos D., et al.
Published: (2026)
by: Tantaroudas, Nikolaos D., et al.
Published: (2026)
Nonlinear Flexibility Effects on Flight Dynamics of High-Aspect-Ratio Wings
by: Tantaroudas, Nikolaos D., et al.
Published: (2026)
by: Tantaroudas, Nikolaos D., et al.
Published: (2026)
A coupled Aeroelastic-Flight Dynamic Framework for Free-Flying Flexible Aircraft with Gust Interactions
by: Tantaroudas, Nikolaos D., et al.
Published: (2026)
by: Tantaroudas, Nikolaos D., et al.
Published: (2026)
Shared Spatial Memory Through Predictive Coding
by: Fang, Zhengru, et al.
Published: (2025)
by: Fang, Zhengru, et al.
Published: (2025)
Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing
by: Du, Ye, et al.
Published: (2025)
by: Du, Ye, et al.
Published: (2025)
UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction
by: Xin, Weilin, et al.
Published: (2025)
by: Xin, Weilin, et al.
Published: (2025)
Non-parametric Inference for Diffusion Processes: A Computational Approach via Bayesian Inversion for PDEs
by: Kruse, Maximilian, et al.
Published: (2024)
by: Kruse, Maximilian, et al.
Published: (2024)
Hybrid Physics-Data Enrichments to Represent Uncertainty in Reduced Gas-Surface Chemistry Models for Hypersonic Flight
by: Bandy, Rileigh, et al.
Published: (2025)
by: Bandy, Rileigh, et al.
Published: (2025)
Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
by: Peik, Arash, et al.
Published: (2025)
by: Peik, Arash, et al.
Published: (2025)
Corrected Riemann smoothed particle hydrodynamics method for multi-resolution fluid-structure interaction
by: Zhang, Bo, et al.
Published: (2025)
by: Zhang, Bo, et al.
Published: (2025)
VW-PINNs: A volume weighting method for PDE residuals in physics-informed neural networks
by: Song, Jiahao, et al.
Published: (2024)
by: Song, Jiahao, et al.
Published: (2024)
An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction
by: Tong, Kejian, et al.
Published: (2024)
by: Tong, Kejian, et al.
Published: (2024)
Enhancing Portfolio Optimization with Transformer-GAN Integration: A Novel Approach in the Black-Litterman Framework
by: Zhu, Enmin, et al.
Published: (2024)
by: Zhu, Enmin, et al.
Published: (2024)
MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting
by: Wang, Mingjie, et al.
Published: (2022)
by: Wang, Mingjie, et al.
Published: (2022)
Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses
by: Shen, Bolin, et al.
Published: (2025)
by: Shen, Bolin, et al.
Published: (2025)
Can News Predict the Direction of Oil Price Volatility? A Language Model Approach with SHAP Explanations
by: Hashami, Romina, et al.
Published: (2025)
by: Hashami, Romina, et al.
Published: (2025)
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
by: Zhu, Enmin, et al.
Published: (2024)
by: Zhu, Enmin, et al.
Published: (2024)
Modeling Insider Filing Delays in Financial Markets with an Interpretable XGBoost Framework
by: Huang, Cheng, et al.
Published: (2025)
by: Huang, Cheng, et al.
Published: (2025)
Toward Black Scholes for Prediction Markets: A Unified Kernel and Market Maker's Handbook
by: Dalen, Shaw
Published: (2025)
by: Dalen, Shaw
Published: (2025)
A Role-Aware Multi-Agent Framework for Financial Education Question Answering with LLMs
by: Zhu, Andy, et al.
Published: (2025)
by: Zhu, Andy, et al.
Published: (2025)
Application of an ANN and LSTM-based Ensemble Model for Stock Market Prediction
by: Liu, Fang, et al.
Published: (2024)
by: Liu, Fang, et al.
Published: (2024)
A Lagrangian Conditional Gaussian Koopman Network for Data Assimilation and Prediction
by: Wang, Zhongrui, et al.
Published: (2026)
by: Wang, Zhongrui, et al.
Published: (2026)
Automated Test Data Generation for Enterprise Protobuf Systems: A Metaclass-Enhanced Statistical Approach
by: Du, Y.
Published: (2025)
by: Du, Y.
Published: (2025)
Graph Neural Network Approach to Predict the Effects of Road Capacity Reduction Policies: A Case Study for Paris, France
by: Natterer, Elena, et al.
Published: (2024)
by: Natterer, Elena, et al.
Published: (2024)
Similar Items
-
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
by: Koistinen, Kosti, et al.
Published: (2026) -
Efficient Traffic Prediction Through Spatio-Temporal Distillation
by: Zhang, Qianru, et al.
Published: (2025) -
CIDER: Counterfactual-Invariant Diffusion-based GNN Explainer for Causal Subgraph Inference
by: Zhang, Qibin, et al.
Published: (2024) -
CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting
by: Wan, Shu, et al.
Published: (2025) -
An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
by: Karkaria, Vispi, et al.
Published: (2025)