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20232026
most citedFloodGenome: Interpretable Machine Learning for Decoding Features Shaping Property Flood Risk Predisposition in Cities

2 citations · 6 across the 17 of their papers we have counts for

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5 papers · 1 filter

stat.AP2023

Digital Divide in Disasters: Investigating Spatial and Socioeconomic Disparities in Internet Service Disruptions During Extreme Weather Events

Yuvraj Gupta, Zhewei Liu, Ali Mostafavi

The resilience of internet service is crucial for ensuring consistent communication, facilitating emergency response in digitally-dependent society. Due to empirical data constrain…

cs.SI2023

Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Features

Kai Yin, Bo Li, Ali Mostafavi

Community resilience is a complex and muti-faceted phenomenon that emerges from complex and nonlinear interactions among different socio-technical systems and their resilience prop…

cs.LG2023★ 2 cited

Unraveling Fundamental Properties of Power System Resilience Curves using Unsupervised Machine Learning

Bo Li, Ali Mostafavi

The standard model of infrastructure resilience, the resilience triangle, has been the primary way of characterizing and quantifying infrastructure resilience. However, the theoret…

cs.LG2023

ML4EJ: Decoding the Role of Urban Features in Shaping Environmental Injustice Using Interpretable Machine Learning

Yu-Hsuan Ho, Zhewei Liu, Cheng-Chun Lee +1

Understanding the key factors shaping environmental hazard exposures and their associated environmental injustice issues is vital for formulating equitable policy measures. Traditi…

cs.LG2023

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

Kai Yin, Junwei Ma, Ali Mostafavi

Urban flood risk emerges from complex and nonlinear interactions among multiple features related to flood hazard, flood exposure, and social and physical vulnerabilities, along wit…