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The role of evaluations in reaching decisions using automated systems supporting forensic analysis

  • Published:2020-09 Issue: Volume:34 Page:301016
  • ISSN:2666-2817
  • Container-title:Forensic Science International: Digital Investigation
  • language:en
  • Short-container-title:Forensic Science International: Digital Investigation

Author:

Bollé Timothy,Casey Eoghan,Jacquet Maëlig

Publisher

Elsevier BV

Reference44 articles.

1. Statistics and the Evaluation of Evidence for Forensic Scientists;Aitken,2004

2. Biometric score calibration for forensic face recognition;Ali,2014

3. Improving the accuracy of automated facial age estimation to aid CSEM investigations;Anda;Digit. Invest.,2019

4. DeepUAge: improving underage age estimation accuracy to aid CSEM investigation;Anda,2020

5. Flexible and context-specific AI explainability: a multidisciplinary approach;Beaudouin,2020

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1. Preventing Machines From Lying: Why Interdisciplinary Collaboration is Essential for Understanding Artefactual or Artefactually Dependent Expert Evidence;The Journal of Criminal Law;2024-01-22

2. 3D Face Reconstruction: The Road to Forensics;ACM Computing Surveys;2023-10-21

3. Automation for digital forensics: Towards a definition for the community;Forensic Science International;2023-08

4. The Use of Machine Learning in Digital Forensics: Review Paper;Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022);2023

5. Efficient bi-traits identification using CEDRNN classifier for forensic applications;Expert Systems with Applications;2022-09
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