Demonstrative Evidence and the Use of Algorithms in Jury Trials

Published: 2024 | By: Rachel Rogers

We investigate how the use of bullet comparison algorithms and demonstrative evidence may affect juror perceptions of reliability, credibility, and …

ShoeCase: A data set of mock crime scene footwear impressions

Type: Publication Research Area(s): Footwear

Published: 2023 | By: Abigail Tibben

This project’s main objective is to create an open-source database containing a sizeable number of high-quality images of shoe impressions. …

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 …

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 …

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. …

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 …

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

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 …

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. …