most citedAn Interpretable Machine Learning Framework to Understand Bikeshare Demand before and during the COVID-19 Pandemic in New York City

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 5 cited

An Interpretable Machine Learning Framework to Understand Bikeshare Demand before and during the COVID-19 Pandemic in New York City

Majbah Uddin, Ho-Ling Hwang, Md Sami Hasnine

In recent years, bikesharing systems have become increasingly popular as affordable and sustainable micromobility solutions. Advanced mathematical models such as machine learning a…