most citedPredicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data

6 citations · 7 across the 2 of their papers we have counts for

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cs.LG2023★ 1 cited

MaxFloodCast: Ensemble Machine Learning Model for Predicting Peak Inundation Depth And Decoding Influencing Features

Cheng-Chun Lee, Lipai Huang, Federico Antolini +4

Timely, accurate, and reliable information is essential for decision-makers, emergency managers, and infrastructure operators during flood events. This study demonstrates a propose…