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  1. Artikel Jurnal Teks lengkap

    Election forensics: Using machine learning and synthetic data for possible election anomaly detection

    Mali Zhang; R. Michael Alvarez; Ines Levin

    PLOS ONE, Vol. 14 No. 10 · 2019 · Inggris · PLOS Scopus

    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…