15 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 15 cited
An LSTM approach to Forecast Migration using Google Trends
Nicolas Golenvaux, Pablo Gonzalez Alvarez, Harold Silvère Kiossou +1
Being able to model and forecast international migration as precisely as possible is crucial for policymaking. Recently Google Trends data in addition to other economic and demogra…
physics.soc-ph2020★ 2 cited
Using an interpretable Machine Learning approach to study the drivers of International Migration
Harold Silvère Kiossou, Yannik Schenk, Frédéric Docquier +3
Globally increasing migration pressures call for new modelling approaches in order to design effective policies. It is important to have not only efficient models to predict migrat…