Is it a True Match? Top k correlations in a database search
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
Graph-Theoretic Techniques for Forensic Image Comparisons
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
Presumption of Innocence, Probable Cause, and Prior Probability—Bayes Meets Due Process
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
Combining reproducibility and repeatability studies with applications in forensic science
Studying the repeatability and reproducibility of decisions made during forensic examinations is important in order to better understand variation in decisions and establish confidence in procedures. For disciplines that rely
Reliability of ordinal outcomes in forensic black-box studies
Forensic science disciplines such as latent print examination, bullet and cartridge case comparisons, and shoeprint analysis, involve subjective decisions by forensic experts throughout the examination process. Most of the decisions
Density-based matching rule: Optimality, estimation, and application in forensic problems
We consider matching problems where the goal is to determine whether two observations randomly drawn from a population with multiple (sub)groups are from the same (sub)group. This is a key
A deep learning approach for the comparison of handwritten documents using latent feature vectors
Forensic questioned document examiners still largely rely on visual assessments and expert judgment to determine the provenance of a handwritten document. Here, we propose a novel approach to objectively compare
Likelihood ratios for changepoints in categorical event data with applications in digital forensics
We investigate likelihood ratio models motivated by digital forensics problems involving time-stamped user-generated event data from a device or account. Of specific interest are scenarios where the data may have
Interpretable algorithmic forensics
One of the most troubling trends in criminal investigations is the growing use of “black box” technology, in which law enforcement rely on artificial intelligence (AI) models or algorithms that
A Semi-Automatic Tool for Footwear Impression Alignment
We introduce a semi-automatic alignment tool tailored for two similar footwear impressions. The term “semi-automatic” is used because the alignment process is primarily automated, yet users have the flexibility to