Bayesian multivariate models for case assessment in dynamic signature cases-Reference-Cited by-同舟云学术

Bayesian multivariate models for case assessment in dynamic signature cases

Published:2021-01 Issue: Volume:318 Page:110611
ISSN:0379-0738
Container-title:Forensic Science International
language:en
Short-container-title:Forensic Science International

Author:

Linden Jacques,Taroni Franco,Marquis Raymond,Bozza Silvia

Publisher

Elsevier BV

Subject

Pathology and Forensic Medicine,Law

Reference73 articles.

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4. What should a forensic practitioner’s likelihood ratio be? II;Morrison;Sci. Justice,2017

5. What should a forensic practitioner’s likelihood ratio be?;Morrison;Sci. Justice,2016

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3. Interpol questioned documents review 2019–2022;Forensic Science International: Synergy;2023

4. Computer Vision-Based Signature Forgery Detection System Using Deep Learning: A Supervised Learning Approach;2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT);2022-07-08

5. Bayesian evaluation of dynamic signatures in operational conditions;Forensic Science International;2022-03