Combining reproducibility and repeatability studies with applications in forensic science

Type: Publication Research Area(s): Forensic Statistics

Published: 2023 | By: Hina Arora

Studying the repeatability and reproducibility of decisions made during forensic examinations is important in order to better understand variation in …

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Reliability of ordinal outcomes in forensic black-box studies

Type: Publication Research Area(s): Forensic Statistics

Published: 2024 | By: Hina M. Arora

Forensic science disciplines such as latent print examination, bullet and cartridge case comparisons, and shoeprint analysis, involve subjective decisions by …

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Density-based matching rule: Optimality, estimation, and application in forensic problems

Type: Research Area(s): Forensic Statistics

Published: 2024 | By: Hana Lee

We consider matching problems where the goal is to determine whether two observations randomly drawn from a population with multiple …

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A finely tuned deep transfer learning algorithm to compare outsole images

Type: Publication Research Area(s): Footwear

Published: 2023 | By: Moonsoo Jang

In forensic practice, evaluating shoeprint evidence is challenging because the differences between images of two different outsoles can be subtle. …

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An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics

Type: Publication Research Area(s): Footwear

Published: 2024 | By: Hana Lee

We introduce an algorithmic approach designed to compare similar shoeprint images, with automated alignment. Our method employs the Iterative Closest …

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A deep learning approach for the comparison of handwritten documents using latent feature vectors

Type: Publication Research Area(s): Forensic Statistics, Handwriting

Published: 2024 | By: Juhyeon Kim

Forensic questioned document examiners still largely rely on visual assessments and expert judgment to determine the provenance of a handwritten …

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Likelihood ratios for changepoints in categorical event data with applications in digital forensics

Type: Publication Research Area(s): Digital, Forensic Statistics

Published: 2024 | By: Rachel Longjohn

We investigate likelihood ratio models motivated by digital forensics problems involving time-stamped user-generated event data from a device or account. …

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Interpretable algorithmic forensics

Type: Publication Research Area(s): Forensic Statistics, Implementation and Practice

Published: 2023 | By: Brandon Garrett

One of the most troubling trends in criminal investigations is the growing use of “black box” technology, in which law …

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