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Roee Eilat

3 papers hereh-index 2170 citations2 works total

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

author position
  • middle author2
  • last author1

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

fields
  • cs.SI2
  • stat.CO1

identity via Semantic Scholar / OpenAlex

most citedWeights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook

62 citations · 66 across the 3 of their papers we have counts for

collaborators

3 papers

stat.CO2023★ 1 cited

balance -- a Python package for balancing biased data samples

Tal Sarig, Tal Galili, Roee Eilat

Surveys are an important research tool, providing unique measurements on subjective experiences such as sentiment and opinions that cannot be measured by other means. However, beca…

cs.SI2020★ 62 cited

Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook

Neta Barkay, Curtiss Cobb, Roee Eilat +5

Facebook is partnering with academic institutions to support COVID-19 research. Currently, we are inviting Facebook app users in the United States to take a survey collected by fac…

cs.SI2020★ 3 cited

Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks

Adam Breuer, Roee Eilat, Udi Weinsberg

In this paper, we study the problem of early detection of fake user accounts on social networks based solely on their network connectivity with other users. Removing such accounts…

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