most citedThe Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation

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

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2 papers

cs.LG2023★ 1 cited

The Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation

Jimeng Shi, Vitalii Stebliankin, Giri Narasimhan

Floods can cause horrific harm to life and property. However, they can be mitigated or even avoided by the effective use of hydraulic structures such as dams, gates, and pumps. By…

cs.LG2023★ 1 cited

Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates

Jimeng Shi, Vitalii Stebliankin, Zhaonan Wang +2

Floods can be very destructive causing heavy damage to life, property, and livelihoods. Global climate change and the consequent sea-level rise have increased the occurrence of ext…