Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Xiaobo, Noh, Hyunsoo, Hatch, Ryan, Tokishi, James, Wang, Zepu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data
by: Ma, Xiaobo, et al.
Published: (2025)
by: Ma, Xiaobo, et al.
Published: (2025)
Network-Level Vehicle Delay Estimation at Heterogeneous Signalized Intersections
by: Ma, Xiaobo, et al.
Published: (2025)
by: Ma, Xiaobo, et al.
Published: (2025)
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks
by: Wang, Zepu, et al.
Published: (2024)
by: Wang, Zepu, et al.
Published: (2024)
Decorrelating the Future: Joint Frequency Domain Learning for Spatio-temporal Forecasting
by: Wang, Zepu, et al.
Published: (2026)
by: Wang, Zepu, et al.
Published: (2026)
MC-INR: Efficient Encoding of Multivariate Scientific Simulation Data using Meta-Learning and Clustered Implicit Neural Representations
by: Son, Hyunsoo, et al.
Published: (2025)
by: Son, Hyunsoo, et al.
Published: (2025)
Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks
by: Zhang, Zijian, et al.
Published: (2024)
by: Zhang, Zijian, et al.
Published: (2024)
Unveiling Imitation Learning: Exploring the Impact of Data Falsity to Large Language Model
by: Cho, Hyunsoo
Published: (2024)
by: Cho, Hyunsoo
Published: (2024)
Large Multimodal Models-Empowered Task-Oriented Autonomous Communications: Design Methodology and Implementation Challenges
by: Yang, Hyun Jong, et al.
Published: (2025)
by: Yang, Hyun Jong, et al.
Published: (2025)
Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections
by: Mallick, Md Atiqur Rahman, et al.
Published: (2026)
by: Mallick, Md Atiqur Rahman, et al.
Published: (2026)
Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
by: Chen, Elynn, et al.
Published: (2024)
by: Chen, Elynn, et al.
Published: (2024)
Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning
by: Wang, Sijia, et al.
Published: (2025)
by: Wang, Sijia, et al.
Published: (2025)
Guiding Generative Models to Uncover Diverse and Novel Crystals via Reinforcement Learning
by: Park, Hyunsoo, et al.
Published: (2025)
by: Park, Hyunsoo, et al.
Published: (2025)
Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs
by: Li, Junbo, et al.
Published: (2025)
by: Li, Junbo, et al.
Published: (2025)
Federated Learning for Anomaly Detection in Maritime Movement Data
by: Graser, Anita, et al.
Published: (2025)
by: Graser, Anita, et al.
Published: (2025)
Event-CausNet: Unlocking Causal Knowledge from Text with Large Language Models for Reliable Spatio-Temporal Forecasting
by: Niu, Luyao, et al.
Published: (2025)
by: Niu, Luyao, et al.
Published: (2025)
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
by: Rafailov, Rafael, et al.
Published: (2024)
by: Rafailov, Rafael, et al.
Published: (2024)
Spatial Transfer Learning for Estimating PM2.5 in Data-poor Regions
by: Gupta, Shrey, et al.
Published: (2024)
by: Gupta, Shrey, et al.
Published: (2024)
Data-Driven Spectrum Demand Prediction: A Spatio-Temporal Framework with Transfer Learning
by: Farajzadeh, Amin, et al.
Published: (2025)
by: Farajzadeh, Amin, et al.
Published: (2025)
Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation
by: Zhao, Boxin, et al.
Published: (2024)
by: Zhao, Boxin, et al.
Published: (2024)
LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation
by: McGrath, Sean, et al.
Published: (2024)
by: McGrath, Sean, et al.
Published: (2024)
Representation Learning of Daily Movement Data Using Text Encoders
by: Capstick, Alexander, et al.
Published: (2024)
by: Capstick, Alexander, et al.
Published: (2024)
Holistic Robust Data-Driven Decisions
by: Bennouna, Amine, et al.
Published: (2022)
by: Bennouna, Amine, et al.
Published: (2022)
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation
by: Ma, Xinge, et al.
Published: (2025)
by: Ma, Xinge, et al.
Published: (2025)
Physics-Driven Learning Framework for Tomographic Tactile Sensing
by: Yang, Xuanxuan, et al.
Published: (2025)
by: Yang, Xuanxuan, et al.
Published: (2025)
RF-Photonic Deep Learning Processor with Shannon-Limited Data Movement
by: Davis III, Ronald, et al.
Published: (2022)
by: Davis III, Ronald, et al.
Published: (2022)
SyncSDE: A Probabilistic Framework for Diffusion Synchronization
by: Lee, Hyunjun, et al.
Published: (2025)
by: Lee, Hyunjun, et al.
Published: (2025)
A Score Filter Enhanced Data Assimilation Framework for Data-Driven Dynamical Systems
by: Tang, Jingqiao, et al.
Published: (2026)
by: Tang, Jingqiao, et al.
Published: (2026)
Knowledge-Driven Multi-Turn Jailbreaking on Large Language Models
by: Li, Songze, et al.
Published: (2026)
by: Li, Songze, et al.
Published: (2026)
MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapse
by: Kim, Donghwan, et al.
Published: (2026)
by: Kim, Donghwan, et al.
Published: (2026)
Mitigating the Likelihood Paradox in Flow-based OOD Detection via Entropy Manipulation
by: Kim, Donghwan, et al.
Published: (2026)
by: Kim, Donghwan, et al.
Published: (2026)
End-to-End Data Quality-Driven Framework for Machine Learning in Production Environment
by: Bayram, Firas, et al.
Published: (2025)
by: Bayram, Firas, et al.
Published: (2025)
Transfer Learning of RSSI to Improve Indoor Localisation Performance
by: Suwannaphong, Thanaphon, et al.
Published: (2024)
by: Suwannaphong, Thanaphon, et al.
Published: (2024)
Fusing Cellular Network Data and Tollbooth Counts for Urban Traffic Flow Estimation
by: Yusuf, Oluwaleke, et al.
Published: (2026)
by: Yusuf, Oluwaleke, et al.
Published: (2026)
BUILDA: A Thermal Building Data Generation Framework for Transfer Learning
by: Krug, Thomas, et al.
Published: (2025)
by: Krug, Thomas, et al.
Published: (2025)
Data-Driven Energy Estimation for Virtual Servers Using Combined System Metrics and Machine Learning
by: Sangha, Amandip
Published: (2025)
by: Sangha, Amandip
Published: (2025)
Scaling Laws for Data-Efficient Visual Transfer Learning
by: Yang, Wenxuan, et al.
Published: (2025)
by: Yang, Wenxuan, et al.
Published: (2025)
A Three-Stage Bayesian Transfer Learning Framework to Improve Predictions in Data-Scarce Domains
by: Furlong, Aidan, et al.
Published: (2025)
by: Furlong, Aidan, et al.
Published: (2025)
Lorica: A Synergistic Fine-Tuning Framework for Advancing Personalized Adversarial Robustness
by: Qi, Tianyu, et al.
Published: (2025)
by: Qi, Tianyu, et al.
Published: (2025)
Digital Twin-Centered Hybrid Data-Driven Multi-Stage Deep Learning Framework for Enhanced Nuclear Reactor Power Prediction
by: Daniell, James, et al.
Published: (2022)
by: Daniell, James, et al.
Published: (2022)
Assessing Low Back Movement with Motion Tape Sensor Data Through Deep Learning
by: Levy, Jared, et al.
Published: (2026)
by: Levy, Jared, et al.
Published: (2026)
Similar Items
-
Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data
by: Ma, Xiaobo, et al.
Published: (2025) -
Network-Level Vehicle Delay Estimation at Heterogeneous Signalized Intersections
by: Ma, Xiaobo, et al.
Published: (2025) -
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks
by: Wang, Zepu, et al.
Published: (2024) -
Decorrelating the Future: Joint Frequency Domain Learning for Spatio-temporal Forecasting
by: Wang, Zepu, et al.
Published: (2026) -
MC-INR: Efficient Encoding of Multivariate Scientific Simulation Data using Meta-Learning and Clustered Implicit Neural Representations
by: Son, Hyunsoo, et al.
Published: (2025)