most citedPredicting Propensity to Vote with Machine Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

physics.soc-ph2021★ 1 cited

Predicting Propensity to Vote with Machine Learning

Rebecca D. Pollard, Sara M. Pollard, Scott Streit

We demonstrate that machine learning enables the capability to infer an individual's propensity to vote from their past actions and attributes. This is useful for microtargeting vo…

cs.CR2017

Privacy-Enabled Biometric Search

Scott Streit, Brian Streit, Stephen Suffian

Biometrics have a long-held hope of replacing passwords by establishing a non-repudiated identity and providing authentication with convenience. Convenience drives consumers toward…