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In this paper, we present machine learning approaches for characterizing and forecasting the short-term demand for on-demand ride-hailing services. We propose the spatio-temporal estimation of the demand that is a function of variable effects related to traffic, pricing and weather conditions. With respect to the methodology, a single decision tree,(More)
W hile improved medical management may partially explain the impressive decline in mortality from stroke in the last three decades, clinicians have been limited in their ability to reduce the staggering neurologic morbidity in survivors. Many proposed interventions have had promising beginnings in the laboratory and have been employed with enthusiasm in(More)
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