1 code implementation • 17 Feb 2023 • Lisette Espín-Noboa, János Kertész, Márton Karsai
Here, we propose a pipeline of machine learning models to infer the mean and standard deviation of wealth across multiple geographically clustered populated places, and illustrate their performance in Sierra Leone and Uganda.
no code implementations • 28 Oct 2016 • Simon Walk, Lisette Espín-Noboa, Denis Helic, Markus Strohmaier, Mark Musen
In particular, we were able to identify seven distinct browsing-behavior types, which all make use of different functionality provided by BioPortal.
no code implementations • 20 Jan 2016 • Lisette Espín-Noboa, Florian Lemmerich, Philipp Singer, Markus Strohmaier
By applying this combination of approaches to taxi data in Manhattan, we can discover and explain different patterns in human mobility that cannot be identified in a collective analysis.