XAI for Allele Identification in Forensic DNA via ML


This study leverages Explainable Artificial Intelligence (XAI) and supervised machine learning techniques to enhance allele identification in complex forensic DNA electropherograms. The approach aims to improve accuracy, transparency, and interpretability in DNA mixture analysis, supporting more reliable forensic investigations.

Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee

Website: https://forensicscientist.org/

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