Machine Learning-based Approach for Ex-post Assessment of Community Risk and Resilience Based on Coupled Human-infrastructure Systems Performance
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xiangpeng, Mostafavi, Ali |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Quantities: Machine Learning-based Characterization of Inequality in Infrastructure Quality Provision in Cities
by: Li, Bo, et al.
Published: (2024)
by: Li, Bo, et al.
Published: (2024)
Establishing Nationwide Power System Vulnerability Index across US Counties Using Interpretable Machine Learning
by: Ma, Junwei, et al.
Published: (2024)
by: Ma, Junwei, et al.
Published: (2024)
Quantifying Functional Criticality of Lifelines Through Mobility-Derived Population-Facility Dependence for Human-Centered Resilience
by: Ma, Junwei, et al.
Published: (2025)
by: Ma, Junwei, et al.
Published: (2025)
Quantifying the Social Costs of Power Outages and Restoration Disparities Across Four U.S. Hurricanes
by: Li, Xiangpeng, et al.
Published: (2025)
by: Li, Xiangpeng, et al.
Published: (2025)
Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
by: Fasanmade, Adebamigbe, et al.
Published: (2024)
by: Fasanmade, Adebamigbe, et al.
Published: (2024)
Unsupervised Graph Deep Learning Reveals Emergent Flood Risk Profile of Urban Areas
by: Yin, Kai, et al.
Published: (2023)
by: Yin, Kai, et al.
Published: (2023)
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)
by: Li, Xiangpeng, et al.
Published: (2026)
Research on Education Big Data for Students Academic Performance Analysis based on Machine Learning
by: Wang, Chun, et al.
Published: (2024)
by: Wang, Chun, et al.
Published: (2024)
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
by: Zanna, Khadija, et al.
Published: (2024)
by: Zanna, Khadija, et al.
Published: (2024)
A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach
by: Ahmed, Md Sabbir, et al.
Published: (2025)
by: Ahmed, Md Sabbir, et al.
Published: (2025)
Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach
by: Adlouni, Mohammed Ali El, et al.
Published: (2025)
by: Adlouni, Mohammed Ali El, et al.
Published: (2025)
Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches
by: Mamidala, Srilekha
Published: (2023)
by: Mamidala, Srilekha
Published: (2023)
Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction
by: Chen, Yawen, et al.
Published: (2025)
by: Chen, Yawen, et al.
Published: (2025)
The Missing Link: Allocation Performance in Causal Machine Learning
by: Fischer-Abaigar, Unai, et al.
Published: (2024)
by: Fischer-Abaigar, Unai, et al.
Published: (2024)
Machine Learning Enabled Early Warning System For Financial Distress Using Real-Time Digital Signals
by: pant, Laxmi, et al.
Published: (2025)
by: pant, Laxmi, et al.
Published: (2025)
Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment
by: Singh, Ashwin, et al.
Published: (2026)
by: Singh, Ashwin, et al.
Published: (2026)
Machine Learning for Public Good: Predicting Urban Crime Patterns to Enhance Community Safety
by: Gupta, Sia, et al.
Published: (2024)
by: Gupta, Sia, et al.
Published: (2024)
Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Features
by: Yin, Kai, et al.
Published: (2023)
by: Yin, Kai, et al.
Published: (2023)
Towards Public Administration Research Based on Interpretable Machine Learning
by: Liu, Zhanyu, et al.
Published: (2026)
by: Liu, Zhanyu, et al.
Published: (2026)
FAIRPLAI: A Human-in-the-Loop Approach to Fair and Private Machine Learning
by: Sanchez Jr., David, et al.
Published: (2025)
by: Sanchez Jr., David, et al.
Published: (2025)
Designing an Intelligent Parcel Management System using IoT & Machine Learning
by: Gupta, Mohit, et al.
Published: (2024)
by: Gupta, Mohit, et al.
Published: (2024)
WildfireGenome: Interpretable Machine Learning Reveals Local Drivers of Wildfire Risk and Their Cross-County Variation
by: Liu, Chenyue, et al.
Published: (2025)
by: Liu, Chenyue, et al.
Published: (2025)
The Benefits and Risks of Transductive Approaches for AI Fairness
by: Razzak, Muhammed, et al.
Published: (2024)
by: Razzak, Muhammed, et al.
Published: (2024)
A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata
by: Tertulino, Rodrigo, et al.
Published: (2025)
by: Tertulino, Rodrigo, et al.
Published: (2025)
TraceHiding: Scalable Machine Unlearning for Mobility Data
by: Faraji, Ali, et al.
Published: (2025)
by: Faraji, Ali, et al.
Published: (2025)
Diagnosing Psychiatric Patients: Can Large Language and Machine Learning Models Perform Effectively in Emergency Cases?
by: Ahammed, Abu Shad, et al.
Published: (2025)
by: Ahammed, Abu Shad, et al.
Published: (2025)
MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept
by: Tkáč, Michal, et al.
Published: (2024)
by: Tkáč, Michal, et al.
Published: (2024)
Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement Learning
by: Oliveira, Nigini, et al.
Published: (2023)
by: Oliveira, Nigini, et al.
Published: (2023)
Machine Learning in Epidemiology
by: Wright, Marvin N., et al.
Published: (2026)
by: Wright, Marvin N., et al.
Published: (2026)
A Human-Centered Approach for Improving Supervised Learning
by: Bansal, Shubhi, et al.
Published: (2024)
by: Bansal, Shubhi, et al.
Published: (2024)
Evaluation of Machine Learning Models in Student Academic Performance Prediction
by: Sandeepa, A. G. R., et al.
Published: (2025)
by: Sandeepa, A. G. R., et al.
Published: (2025)
Exploring Educational Equity: A Machine Learning Approach to Unravel Achievement Disparities in Georgia
by: Ma, Yichen, et al.
Published: (2024)
by: Ma, Yichen, et al.
Published: (2024)
Ontology of Belief Diversity: A Community-Based Epistemological Approach
by: Fischella, Tyler, et al.
Published: (2024)
by: Fischella, Tyler, et al.
Published: (2024)
AI Meets Natural Hazard Risk: A Nationwide Vulnerability Assessment of Data Centers to Natural Hazards and Power Outages
by: Esparza, Miguel, et al.
Published: (2024)
by: Esparza, Miguel, et al.
Published: (2024)
Towards An Online Incremental Approach to Predict Students Performance
by: Labba, Chahrazed, et al.
Published: (2024)
by: Labba, Chahrazed, et al.
Published: (2024)
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)
by: Ma, Junwei, et al.
Published: (2024)
A Human-Centric Approach to Explainable AI for Personalized Education
by: Swamy, Vinitra
Published: (2025)
by: Swamy, Vinitra
Published: (2025)
Human-AI Co-Mentorship in Project-Based Learning: A Case Study in Financial Forecasting
by: Chawla, Freyaa, et al.
Published: (2026)
by: Chawla, Freyaa, et al.
Published: (2026)
Use of Boosting Algorithms in Household-Level Poverty Measurement: A Machine Learning Approach to Predict and Classify Household Wealth Quintiles in the Philippines
by: Salvador, Erika Lynet
Published: (2024)
by: Salvador, Erika Lynet
Published: (2024)
Deep Learning Based Crime Prediction Models: Experiments and Analysis
by: Utsha, Rittik Basak, et al.
Published: (2024)
by: Utsha, Rittik Basak, et al.
Published: (2024)
Similar Items
-
Beyond Quantities: Machine Learning-based Characterization of Inequality in Infrastructure Quality Provision in Cities
by: Li, Bo, et al.
Published: (2024) -
Establishing Nationwide Power System Vulnerability Index across US Counties Using Interpretable Machine Learning
by: Ma, Junwei, et al.
Published: (2024) -
Quantifying Functional Criticality of Lifelines Through Mobility-Derived Population-Facility Dependence for Human-Centered Resilience
by: Ma, Junwei, et al.
Published: (2025) -
Quantifying the Social Costs of Power Outages and Restoration Disparities Across Four U.S. Hurricanes
by: Li, Xiangpeng, et al.
Published: (2025) -
Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
by: Fasanmade, Adebamigbe, et al.
Published: (2024)