Evaluating Automated Facial Age Estimation Techniques for Digital Forensics. - Felix Anda; David Lillis; Nhien-An Le-Khac; Mark Scanlon (IEEE Symposium on Security and Privacy Workshops, 2018)

Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning. - Felix Anda; David Lillis; Aikaterini Kanta; Brett A. Becker; Elias Bou-Harb; Nhien-An Le-Khac; Mark Scanlon (ARES, 2019)

Improving the accuracy of automated facial age estimation to aid CSEM investigations. - Felix Anda; David Lillis; Aikaterini Kanta; Brett A. Becker; Elias Bou-Harb; Nhien-An Le-Khac; Mark Scanlon (Digit. Investig., 2019)

SoK: exploring the state of the art and the future potential of artificial intelligence in digital forensic investigation. - Xiaoyu Du 003; Chris Hargreaves; John Sheppard 002; Felix Anda; Asanka P. Sayakkara; Nhien-An Le-Khac; Mark Scanlon (ARES, 2020)

Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation. - Felix Anda; Brett A. Becker; David Lillis; Nhien-An Le-Khac; Mark Scanlon (Cyber Security, 2020)

DeepUAge: Improving Underage Age Estimation Accuracy to Aid CSEM Investigation. - Felix Anda; Nhien-An Le-Khac; Mark Scanlon (Digit. Investig., 2020)

Vec2UAge: Enhancing underage age estimation performance through facial embeddings. - Felix Anda; Edward Dixon; Elias Bou-Harb; Nhien-An Le-Khac; Mark Scanlon (Digit. Investig., 2021)