Improving the accuracy of automated facial age estimation to aid CSEM investigations-Reference-Cited by-同舟云学术

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Improving the accuracy of automated facial age estimation to aid CSEM investigations

Published:2019-04 Issue: Volume:28 Page:S142
ISSN:1742-2876
Container-title:Digital Investigation
language:en
Short-container-title:Digital Investigation

Author:

Anda Felix,Lillis David,Kanta Aikaterini,Becker Brett,Bou-Harb Elias,Le Khac Nhien An,Scanlon Mark

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications

Cited by 4 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. Digital Forensics AI: Evaluating, Standardizing and Optimizing Digital Evidence Mining Techniques;KI - Künstliche Intelligenz;2022-05-12

2. AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images;Neurocomputing;2021-07

3. The role of evaluations in reaching decisions using automated systems supporting forensic analysis;Forensic Science International: Digital Investigation;2020-09

4. Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning;Proceedings of the 14th International Conference on Availability, Reliability and Security;2019-08-26

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