Saved in:
| Main Authors: | Yu, Lanlan, Liu, Quan-Hui, Zheng, Haoyue, Yang, Xinfu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.17549 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
by: Karsai, Márton, et al.
Published: (2024)
by: Karsai, Márton, et al.
Published: (2024)
Real-Time Go-Around Prediction: A case study of JFK airport
by: Liu, Ke, et al.
Published: (2024)
by: Liu, Ke, et al.
Published: (2024)
Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models
by: Kolic, Blas, et al.
Published: (2025)
by: Kolic, Blas, et al.
Published: (2025)
FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
by: Lai, Yuheng, et al.
Published: (2024)
by: Lai, Yuheng, et al.
Published: (2024)
Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection
by: She, Zhaowei, et al.
Published: (2023)
by: She, Zhaowei, et al.
Published: (2023)
Test-Time Learning and Inference-Time Deliberation for Efficiency-First Offline Reinforcement Learning in Care Coordination and Population Health Management
by: Basu, Sanjay, et al.
Published: (2025)
by: Basu, Sanjay, et al.
Published: (2025)
Finding emergence in data by maximizing effective information
by: Yang, Mingzhe, et al.
Published: (2023)
by: Yang, Mingzhe, et al.
Published: (2023)
Mitigating biases in big mobility data: a case study of monitoring large-scale transit systems
by: Wang, Feilong, et al.
Published: (2024)
by: Wang, Feilong, et al.
Published: (2024)
Metric Similarity and Manifold Learning of Circular Dichroism Spectra of Proteins
by: Marchetti, Gionni
Published: (2025)
by: Marchetti, Gionni
Published: (2025)
Improving Demand Forecasting in Open Systems with Cartogram-Enhanced Deep Learning
by: Park, Sangjoon, et al.
Published: (2024)
by: Park, Sangjoon, et al.
Published: (2024)
Gated Multimodal Learning for Interpretable Property Energy Performance Prediction and Retrofit Scenario Analysis
by: Bai, Yunfei, et al.
Published: (2026)
by: Bai, Yunfei, et al.
Published: (2026)
Towards Public Administration Research Based on Interpretable Machine Learning
by: Liu, Zhanyu, et al.
Published: (2026)
by: Liu, Zhanyu, et al.
Published: (2026)
Epidemic Modeling using Hybrid of Time-varying SIRD, Particle Swarm Optimization, and Deep Learning
by: Kumar, Naresh, et al.
Published: (2024)
by: Kumar, Naresh, et al.
Published: (2024)
Deep Learning Opacity in Scientific Discovery
by: Duede, Eamon
Published: (2022)
by: Duede, Eamon
Published: (2022)
A Driving Regime-Embedded Deep Learning Framework for Modeling Intra-Driver Heterogeneity in Multi-Scale Car-Following Dynamics
by: Zhou, Shirui, et al.
Published: (2025)
by: Zhou, Shirui, et al.
Published: (2025)
Modeling, Inference, and Prediction in Mobility-Based Compartmental Models for Epidemiology
by: Jiang, Ning, et al.
Published: (2024)
by: Jiang, Ning, et al.
Published: (2024)
Fairness in Federated Learning: Trends, Challenges, and Opportunities
by: Mukhtiar, Noorain, et al.
Published: (2025)
by: Mukhtiar, Noorain, et al.
Published: (2025)
A Strategy Transfer and Decision Support Approach for Epidemic Control in Experience Shortage Scenarios
by: Xiao, X., et al.
Published: (2024)
by: Xiao, X., et al.
Published: (2024)
Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management
by: Li, Tao, et al.
Published: (2024)
by: Li, Tao, et al.
Published: (2024)
Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning
by: Li, Tao, et al.
Published: (2024)
by: Li, Tao, et al.
Published: (2024)
Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection
by: Shi, Haoming, et al.
Published: (2025)
by: Shi, Haoming, et al.
Published: (2025)
Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning
by: Zhou, Kai, et al.
Published: (2025)
by: Zhou, Kai, et al.
Published: (2025)
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics
by: Wang, Yuhao, et al.
Published: (2025)
by: Wang, Yuhao, et al.
Published: (2025)
Cycling into the workshop: predictive maintenance for Barcelona's bike-sharing system
by: Grau-Escolano, Jordi, et al.
Published: (2024)
by: Grau-Escolano, Jordi, et al.
Published: (2024)
Understanding the Transit Gap: A Comparative Study of On-Demand Bus Services and Urban Climate Resilience in South End, Charlotte, NC and Avondale, Chattanooga, TN
by: Hosseini, Sanaz Sadat, et al.
Published: (2024)
by: Hosseini, Sanaz Sadat, et al.
Published: (2024)
Identifying Dealbreakers and Robust Policies for the Energy Transition Amid Unexpected Events
by: Coppitters, Diederik, et al.
Published: (2025)
by: Coppitters, Diederik, et al.
Published: (2025)
Decoding street network morphologies and their correlation to travel mode choice
by: Riascos-Goyes, Juan Fernando, et al.
Published: (2025)
by: Riascos-Goyes, Juan Fernando, et al.
Published: (2025)
Mobility-GCN: a human mobility-based graph convolutional network for tracking and analyzing the spatial dynamics of the synthetic opioid crisis in the USA, 2013-2020
by: Xia, Zhiyue, et al.
Published: (2024)
by: Xia, Zhiyue, et al.
Published: (2024)
Do Streetscapes Still Matter for Customer Ratings of Eating and Drinking Establishments in Car-Dependent Cities?
by: Han, Chaeyeon, et al.
Published: (2025)
by: Han, Chaeyeon, et al.
Published: (2025)
Four Things People Should Know About Migraines
by: Parsa, Mohammad S., et al.
Published: (2025)
by: Parsa, Mohammad S., et al.
Published: (2025)
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
by: He, Erhu, et al.
Published: (2024)
by: He, Erhu, et al.
Published: (2024)
Machine Learning-based Regional Cooling Demand Prediction with Optimised Dataset Partitioning
by: Zhang, Meng, et al.
Published: (2025)
by: Zhang, Meng, et al.
Published: (2025)
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application
by: Ding, Jingtao, et al.
Published: (2024)
by: Ding, Jingtao, et al.
Published: (2024)
HawkesRank: Event-Driven Centrality for Real-Time Importance Ranking
by: Sornette, Didier, et al.
Published: (2026)
by: Sornette, Didier, et al.
Published: (2026)
Explainable AI: Learning from the Learners
by: Vinuesa, Ricardo, et al.
Published: (2026)
by: Vinuesa, Ricardo, et al.
Published: (2026)
Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning
by: Romano, Salvatore, et al.
Published: (2025)
by: Romano, Salvatore, et al.
Published: (2025)
Inference-time Stochastic Ranking with Risk Control
by: Guo, Ruocheng, et al.
Published: (2023)
by: Guo, Ruocheng, et al.
Published: (2023)
Inference in Spreading Processes with Neural-Network Priors
by: Ghio, Davide, et al.
Published: (2025)
by: Ghio, Davide, et al.
Published: (2025)
Emergent Slow Thinking in LLMs as Inverse Tree Freezing
by: Hu, Sihan, et al.
Published: (2025)
by: Hu, Sihan, et al.
Published: (2025)
Learning Beyond Optimization: Stress-Gated Dynamical Regime Regulation in Autonomous Systems
by: Ran, Sheng
Published: (2026)
by: Ran, Sheng
Published: (2026)
Similar Items
-
A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
by: Karsai, Márton, et al.
Published: (2024) -
Real-Time Go-Around Prediction: A case study of JFK airport
by: Liu, Ke, et al.
Published: (2024) -
Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models
by: Kolic, Blas, et al.
Published: (2025) -
FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
by: Lai, Yuheng, et al.
Published: (2024) -
Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection
by: She, Zhaowei, et al.
Published: (2023)