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

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CE2024★ 2 cited

FloodGenome: Interpretable Machine Learning for Decoding Features Shaping Property Flood Risk Predisposition in Cities

Chenyue Liu, Ali Mostafavi

Understanding the fundamental characteristics that shape the inherent flood risk disposition of urban areas is critical for integrated urban design strategies for flood risk reduct…