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Election forensics: Using machine learning and synthetic data for possible election anomaly detection
Assuring election integrity is essential for the legitimacy of elected representative democratic government. Until recently, other than in-person election observation, there have been few quantitative methods for determining the integrity of a democratic election. Here we present a machine learning...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822750/ https://www.ncbi.nlm.nih.gov/pubmed/31671106 http://dx.doi.org/10.1371/journal.pone.0223950 |