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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:J Forensic Sci
Egile Nagusiak: Macarulla Rodriguez, Andrea, Geradts, Zeno, Worring, Marcel
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: John Wiley and Sons Inc. 2020
Gaiak:
Sarrera elektronikoa: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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