Likelihood Ratios for Deep Neural Networks in Face Comparison-Reference-Cited by-同舟云学术

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Likelihood Ratios for Deep Neural Networks in Face Comparison

Published:2020-05-12 Issue:4 Volume:65 Page:1169-1183
ISSN:0022-1198
Container-title:Journal of Forensic Sciences
language:en
Short-container-title:J Forensic Sci

Author:

Macarulla Rodriguez Andrea¹^ORCID,Geradts Zeno¹^ORCID,Worring Marcel²^ORCID

Affiliation:

1. Netherlands Forensic Institute Laan van Ypenburg 6 2497 GB Den Haag The Netherlands

2. University of Amsterdam Science Park 904 1098 XH Amsterdam The Netherlands

Funder

ASGARD

Publisher

Wiley

Subject

Genetics,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1556-4029.14324

Reference43 articles.

1. Face‐to‐face with facial recognition evidence: admissibility under the post‐Crawford confrontation clause;Celentino JC;Mich L Rev,2016

2. Forensic face recognition as a means to determine strength of evidence: a survey;Meuwly D;Forensic Sci Rev,2018

3. Face Recognition in Forensic Science

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning and Face Recognition: Face Recognition Approach Based on the DS-CDCN Algorithm;Applied Sciences;2024-07-01

2. Fine alignment, flexible fusion: A novel framework of multi-model score fusion in face identification;Forensic Science International;2024-01

3. An overview of log likelihood ratio cost in forensic science – Where is it used and what values can we expect?;Forensic Science International: Synergy;2024

4. Two heads are better than one: Dual systems obtain better performance in facial comparison;Forensic Science International;2023-12

5. Application of lead isotope signature and likelihood ratio evaluation in a shooting incident investigation;Forensic Science International;2023-10

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