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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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| Publicado no: | J Forensic Sci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2020
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| Assuntos: | |
| Acesso em linha: | 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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