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Likelihood Ratios for Deep Neural Networks in Face Comparison

In this study, we aim to compare the performance of systems and forensic facial comparison experts in terms of likelihood ratio computation to assess the potential of the machine to support the human expert in the courtroom. In forensics, transparency in the methods is essential. Consequently, state...

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Bibliografski detalji
Izdano u:J Forensic Sci
Glavni autori: Macarulla Rodriguez, Andrea, Geradts, Zeno, Worring, Marcel
Format: Artigo
Jezik:Inglês
Izdano: John Wiley and Sons Inc. 2020
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7383913/
https://ncbi.nlm.nih.gov/pubmed/32396227
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/1556-4029.14324
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