Unsupervised Graph Deep Learning Reveals Emergent Flood Risk Profile of Urban Areas

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yin, Kai, Ma, Junwei, Mostafavi, Ali
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Computers and Society Applications I.2.1 Applications and Expert Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
by: Hashtarkhani, Soheil, et al.
Published: (2025)

Smart and Efficient IoT-Based Irrigation System Design: Utilizing a Hybrid Agent-Based and System Dynamics Approach
by: Pargo, Taha Ahmadi, et al.
Published: (2025)

Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach
by: Hashtarkhani, Soheil, et al.
Published: (2025)

Bayesian Nonparametric Dynamical Clustering of Time Series
by: Pérez-Herrero, Adrián, et al.
Published: (2025)

Decomposing Physician Disagreement in HealthBench
by: Borgohain, Satya, et al.
Published: (2026)

Decoding the Pulse of Community during Disasters: Resilience Analysis Based on Fluctuations in Latent Lifestyle Signatures within Human Visitation Networks
by: Ma, Junwei, et al.
Published: (2024)

Non-locality and Spillover Effects of Residential Flood Damage on Community Recovery: Insights from High-resolution Flood Claim and Mobility Data
by: Ma, Junwei, et al.
Published: (2024)

Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence
by: Lasko, Thomas A., et al.
Published: (2024)

Establishing Nationwide Power System Vulnerability Index across US Counties Using Interpretable Machine Learning
by: Ma, Junwei, et al.
Published: (2024)

Macro-Level Correlational Analysis of Mental Disorders: Economy, Education, Society, and Technology Development
by: Tao, Yingzhi, et al.
Published: (2025)

Decoupling Urban Food Accessibility Resilience during Disasters through Time-Series Analysis of Human Mobility and Power Outages
by: Ma, Junwei, et al.
Published: (2025)

SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
by: Wasi, Azmine Toushik, et al.
Published: (2024)

Flood Risk Assessment of the National Harbor at Maryland, United States
by: Negussie, Neftalem, et al.
Published: (2024)

Adapting Probabilistic Risk Assessment for AI
by: Wisakanto, Anna Katariina, et al.
Published: (2025)

Resilient by Design: Simulating Street Network Disruptions across Every Urban Area in the World
by: Boeing, Geoff, et al.
Published: (2024)

FastAGEDs+: Fast Approximate Graph Entity Dependency Discovery
by: Sibo Zhao, et al.
Published: (2025)

Unsupervised Deep Image Prior‐Based Neural Networks for Single Image Super‐Resolution: Comparative Analysis and Modelling Guidelines
by: Alejandra Abalo‐García, et al.
Published: (2025)

Deep Learning‐Based Privacy Preserving Multimodal Biometrics Recognition for Cross‐Silo Datasets
by: Isha Kansal, et al.
Published: (2025)

Temporal Patterns of Multiple Long-Term Conditions in Individuals with Intellectual Disability Living in Wales: An Unsupervised Clustering Approach to Disease Trajectories
by: Kousovista, Rania, et al.
Published: (2024)

Leveraging Unsupervised Task Adaptation and Semi‐Supervised Learning With Semantic‐Enriched Representations for Online Sexism Detection
by: Francisco Rodríguez‐Sánchez, et al.
Published: (2024)

Correction to “Leveraging Unsupervised Task Adaptation and Semi‐Supervised Learning With Semantic‐Enriched Representations for Online Sexism Detection”
Published: (2025)

Cryptogenic stroke and migraine: using probabilistic independence and machine learning to uncover latent sources of disease from the electronic health record
by: Betts, Joshua W., et al.
Published: (2025)

Introducing the Large Medical Model: State of the art healthcare cost and risk prediction with transformers trained on patient event sequences
by: Sahu, Ricky, et al.
Published: (2024)

Fairness at Risk: Where Bias Emerges in Machine Learning
by: Otavio de Paula Albuquerque, et al.
Published: (2026)

Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes
by: Septiandri, Ali Akbar, et al.
Published: (2025)

Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning
by: Robinett, Ryan A., et al.
Published: (2025)

Transformer‐Based Contrastive Learning With Dynamic Masking and Adaptive Pathways for Time Series Anomaly Detection
by: Qian Liang, et al.
Published: (2025)

CAPTURE —Computational Analysis and Predictive Techniques for Urban Resource Efficiency
by: Marzia Canzaniello, et al.
Published: (2024)

An Overview of Q‐Learning and Deep Q‐Learning for an Autonomous Multi‐ UAV Wireless Network
by: Vikash Chandra Sharma, et al.
Published: (2025)

Pedagogically‐Informed Behavioural Learning Analytics: An Expert Approach to Predicting at‐Risk Students
by: Saleh Alhazbi
Published: (2026)

Temporal Knowledge Graph Reasoning Based on Dynamic Fusion Representation Learning
by: Hongwei Chen, et al.
Published: (2024)

Medical Domain Knowledge Collaborative Graph Learning for Healthcare Event Prediction
by: Usman Naseem, et al.
Published: (2025)

Phishing Website Detection: An In‐Depth Investigation of Feature Selection and Deep Learning
by: Soudabe Mousavi, et al.
Published: (2025)

TrafficViolationNet : Data‐Driven Traffic Violation Prediction Model Based on Deep Dual‐Path Residual Network and Lightweight Attention Mechanism
by: Mohammed Alshriem, et al.
Published: (2026)

Understanding the Relationship Between Firms' AI Technology Innovation and Consumer Complaints
by: Ma, Yongchao Martin, et al.
Published: (2026)

Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data
by: Schaeffer, Joachim, et al.
Published: (2024)

Risk-Based Prognostics and Health Management
by: Sheppard, John W.
Published: (2025)

Analysis of Different Modality of Data to Diagnose Parkinson's Disease Using Machine Learning and Deep Learning Approaches: A Review
by: Sheikh Bahauddin Arnab, et al.
Published: (2024)

A Novel Deep Reinforcement Learning Framework for Energy Management and Prediction in Smart Cities
by: Taher Al‐Shehari, et al.
Published: (2025)

Approaches to Automatic Classification, Detection and Segmentation of Breast Arterial Calcification Using Deep Learning
by: Dominic Maguire, et al.
Published: (2025)