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Jonathan Hersh

3 papers hereh-index 10338 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • econ.GN1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedPoverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico

49 citations · 98 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022

A Topic Modeling Approach to Classifying Open Street Map Health Clinics and Schools in Sub-Saharan Africa

Joshua W. Anderson, Luis Iñaki Alberro Encina, Tina George Karippacheril +2

Data deprivation, or the lack of easily available and actionable information on the well-being of individuals, is a significant challenge for the developing world and an impediment…

econ.GN2020★ 49 cited

Monitoring War Destruction from Space: A Machine Learning Approach

Hannes Mueller, Andre Groger, Jonathan Hersh +2

Existing data on building destruction in conflict zones rely on eyewitness reports or manual detection, which makes it generally scarce, incomplete and potentially biased. This lac…

stat.ML2017★ 49 cited

Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico

Boris Babenko, Jonathan Hersh, David Newhouse +2

Mapping the spatial distribution of poverty in developing countries remains an important and costly challenge. These "poverty maps" are key inputs for poverty targeting, public goo…

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