Image de couverture de livre

Incorporating Long-term Data in Training Short-term Traffic Prediction Model

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, Xiannan, Qiu, Shuhan, Cheng, Yan, Yuan, Quan, Yang, Chao
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
par: Yang, Chao, et autres
Publié: (2025)

Predicting Subway Passenger Flows under Incident Situation with Causality
par: Huang, Xiannan, et autres
Publié: (2024)

Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Model
par: Huang, Xiannan, et autres
Publié: (2025)

Learning from Yesterday's Error: An Efficient Online Learning Method for Traffic Demand Prediction
par: Huang, Xiannan, et autres
Publié: (2026)

Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stations
par: Huang, Xiannan, et autres
Publié: (2024)

Online time series prediction using feature adjustment
par: Huang, Xiannan, et autres
Publié: (2025)

Individual Bus Trip Chain Prediction and Pattern Identification Considering Similarities
par: Huang, Xiannan, et autres
Publié: (2024)

TEFL: Prediction-Residual-Guided Rolling Forecasting for Multi-Horizon Time Series
par: Huang, Xiannan, et autres
Publié: (2026)

Scale-Disentangled spatiotemporal Modeling for Long-term Traffic Emission Forecasting
par: Wu, Yan, et autres
Publié: (2025)

Virtual Nodes Improve Long-term Traffic Prediction
par: Cao, Xiaoyang, et autres
Publié: (2025)

Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence
par: Yi, Bingji, et autres
Publié: (2025)

Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction
par: Wu, Yi, et autres
Publié: (2024)

Enhancing Traffic Prediction with Textual Data Using Large Language Models
par: Huang, Xiannan
Publié: (2024)

Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction
par: Zhu, Wang, et autres
Publié: (2024)

Short-term Inland Vessel Trajectory Prediction with Encoder-Decoder Models
par: Donandt, Kathrin, et autres
Publié: (2024)

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
par: Wang, Yingrong, et autres
Publié: (2024)

Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting
par: Hsu, Yu-Chao, et autres
Publié: (2024)

TCDformer-based Momentum Transfer Model for Long-term Sports Prediction
par: Liu, Hui, et autres
Publié: (2024)

Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
par: Liu, Zibo, et autres
Publié: (2024)

ST-RetNet: A Long-term Spatial-Temporal Traffic Flow Prediction Method
par: Long, Baichao, et autres
Publié: (2024)

QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory
par: Hsu, Yu-Chao, et autres
Publié: (2025)

Strategic Coordination of Drones via Short-term Distributed Optimization and Long-term Reinforcement Learning
par: Qin, Chuhao, et autres
Publié: (2023)

Improving Long-term Autoregressive Spatiotemporal Predictions: A Proof of Concept with Fluid Dynamics
par: Zhou, Hao, et autres
Publié: (2025)

Exploring the Feasibility of Deep Learning Models for Long-term Disease Prediction: A Case Study for Wheat Yellow Rust in England
par: Yuan, Zhipeng, et autres
Publié: (2025)

Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices
par: Zhang, Ruixuan, et autres
Publié: (2024)

Energy-Guided Data Sampling for Traffic Prediction with Mini Training Datasets
par: Yang, Zhaohui, et autres
Publié: (2024)

Time Matters: A Novel Real-Time Long- and Short-term User Interest Model for Click-Through Rate Prediction
par: Gui, Xian-Jin
Publié: (2025)

FUSE-Traffic: Fusion of Unstructured and Structured Data for Event-aware Traffic Forecasting
par: Yu, Chenyang, et autres
Publié: (2025)

Long-term Causal Inference via Modeling Sequential Latent Confounding
par: Chen, Weilin, et autres
Publié: (2025)

"It Looks All the Same to Me": Cross-index Training for Long-term Financial Series Prediction
par: Selitskiy, Stanislav
Publié: (2025)

LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
par: Guo, Ke, et autres
Publié: (2024)

Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination
par: Chen, Weilin, et autres
Publié: (2025)

Long-term Fairness with Selective Labels
par: Valdrighi, Giovani, et autres
Publié: (2026)

Stacking for Probabilistic Short-term Load Forecasting
par: Dudek, Grzegorz
Publié: (2024)

Globalization for Scalable Short-term Load Forecasting
par: Ahmadi, Amirhossein, et autres
Publié: (2025)

SWAG: Long-term Surgical Workflow Prediction with Generative-based Anticipation
par: Boels, Maxence, et autres
Publié: (2024)

Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models
par: Wu, Jiahui, et autres
Publié: (2024)

FlowDistill: Scalable Traffic Flow Prediction via Distillation from LLMs
par: Yu, Chenyang, et autres
Publié: (2025)

Quantum Long Short-term Memory with Differentiable Architecture Search
par: Chen, Samuel Yen-Chi, et autres
Publié: (2025)

Short-term electricity load forecasting with multi-frequency reconstruction diffusion
par: Dong, Qi, et autres
Publié: (2026)