Cover Image

Evaluating Pavement Deterioration Rates Due to Flooding Events Using Explainable AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peng, Lidan, Gao, Lu, Hong, Feng, Sun, Jingran
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Considering Spatial Structure of the Road Network in Pavement Deterioration Modeling
by: Gao, Lu, et al.
Published: (2025)

STGAN: Spatial-temporal Graph Autoregression Network for Pavement Distress Deterioration Prediction
by: Tong, Shilin, et al.
Published: (2025)

Deep Learning for Pavement Condition Evaluation Using Satellite Imagery
by: Lebaku, Prathyush Kumar Reddy, et al.
Published: (2025)

Pavement Missing Condition Data Imputation through Collective Learning-Based Graph Neural Networks
by: Yu, Ke, et al.
Published: (2026)

Journey into Automation: Image-Derived Pavement Texture Extraction and Evaluation
by: Lu, Bingjie, et al.
Published: (2025)

Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration
by: Zisser, Moshe, et al.
Published: (2023)

What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
by: Kapar, Jan, et al.
Published: (2025)

From Black Box to Insight: Explainable AI for Extreme Event Preparedness
by: Vu, Kiana, et al.
Published: (2025)

Predicting Space Tourism Demand Using Explainable AI
by: Pham, Tan-Hanh, et al.
Published: (2025)

BEExAI: Benchmark to Evaluate Explainable AI
by: Sithakoul, Samuel, et al.
Published: (2024)

Explainable Learning Rate Regimes for Stochastic Optimization
by: Yang, Zhuang
Published: (2025)

Early Warning Index for Patient Deteriorations in Hospitals
by: Bertsimas, Dimitris, et al.
Published: (2025)

A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems
by: Gambetti, Alessandro, et al.
Published: (2025)

Explainable Earth Surface Forecasting under Extreme Events
by: Pellicer-Valero, Oscar J., et al.
Published: (2024)

A Framework for Evaluating Faithfulness in Explainable AI for Machine Anomalous Sound Detection Using Frequency-Band Perturbation
by: Buck, Alexander, et al.
Published: (2026)

The Merit of River Network Topology for Neural Flood Forecasting
by: Kirschstein, Nikolas, et al.
Published: (2024)

Compressing Deep Neural Networks Using Explainable AI
by: Soroush, Kimia, et al.
Published: (2025)

Root Causing Prediction Anomalies Using Explainable AI
by: Vishnampet, Ramanathan, et al.
Published: (2024)

APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting
by: Feng, Jun, et al.
Published: (2024)

Re-Visiting Explainable AI Evaluation Metrics to Identify The Most Informative Features
by: Salih, Ahmed M.
Published: (2025)

Generating Feasible and Diverse Synthetic Populations Using Diffusion Models
by: Tang, Min, et al.
Published: (2025)

Time Series Transformer-Based Modeling of Pavement Skid and Texture Deterioration
by: Gao, Lu, et al.
Published: (2025)

ArXivBench: When You Should Avoid Using ChatGPT for Academic Writing
by: Li, Ning, et al.
Published: (2025)

ZeroFlood: Flood Hazard Mapping from Single-Modality SAR Using Geo-Foundation Models
by: Kim, Hyeongkyun, et al.
Published: (2025)

Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models
by: Meng, Shuchen, et al.
Published: (2024)

Integrating Project Spatial Coordinates into Pavement Management Prioritization
by: Hanandeh, Shadi, et al.
Published: (2018)

Predictive Modeling of Flood-Prone Areas Using SAR and Environmental Variables
by: Awino, Edwin Oluoch, et al.
Published: (2025)

Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI
by: Dembinsky, David, et al.
Published: (2025)

F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
by: Zheng, Xu, et al.
Published: (2024)

Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning
by: Lu, Ziyang, et al.
Published: (2025)

CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration
by: Ting, Lo Pang-Yun, et al.
Published: (2025)

Position: Explainable AI is Causality in Disguise
by: Karimi, Amir-Hossein
Published: (2026)

Unlocking the Black Box: A Five-Dimensional Framework for Evaluating Explainable AI in Credit Risk
by: Ye, Rongbin, et al.
Published: (2025)

From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition
by: Pellano, Kimji N., et al.
Published: (2024)

Explainable AI in Spatial Analysis
by: Li, Ziqi
Published: (2025)

Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods
by: Almalki, Fahad, et al.
Published: (2025)

A Closed-loop, State-centric, Multi-agent Framework for Passenger Load Estimation from Heterogeneous Data Streams
by: Xu, Yiyao, et al.
Published: (2026)

PEDESTRIAN: An Egocentric Vision Dataset for Obstacle Detection on Pavements
by: Thoma, Marios, et al.
Published: (2025)

Pure Component Property Estimation Framework Using Explainable Machine Learning Methods
by: Jiao, Jianfeng, et al.
Published: (2025)

Property-Level Flood Risk Assessment Using AI-Enabled Street-View Lowest Floor Elevation Extraction and ML Imputation Across Texas
by: Li, Xiangpeng, et al.
Published: (2026)