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Poster

A Data-Driven Approach to Model the Generation Process of Bloodstain Patterns

This poster was presented at the 106th International Association for Identification
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A Pipeline for Cartridge Case Comparisons

We introduce novel sub-procedures in the pre-processing, comparison and similarity feature steps. The sub-procedures result in an improved error rate compared to our implementation of the CMC method while also
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Jury Perception of Bullet Matching Algorithms and Demonstrative Evidence

Presented at Joint Statistical Meetings
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Ensemble of SLR systems for forensic evidence

Machine learning-based Score Likelihood Ratios have been proposed as an alternative to traditional Likelihood Ratio and Bayes Factor to quantify the value of forensic evidence. Scores allow formulating comparisons using
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Likelihood Ratios for Categorical Evidence with Applications to Digital Forensics

In forensic investigations, the goal of evidence evaluation is often to address source-/identity-based questions in which the evidence consists of two sets of observations: one from an unknown source tied
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Twin Convolutional Neural Networks to Classify Writers Using Handwriting Data

Primary goals are to examine: 1. Write diversification versus representation. 2. Preservation of handwriting structure versus image density. 3. Input size versus training size. 4. Writer identification complexity assessment using
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Reliability for Binary and Ordinal Data in Forensics

Forensics studies of feature-based comparison decisions typically focus on the accuracy and reliability the decisions. Decisions can be reports in the form of binary conclusions (value / no value) or
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Assessing the resources and requirements of statistics education in forensic science

With the increasing ability to easily collect and analyze data, statistics plays a more critical role in scientific research activities, such as designing experiments, controlling processes, and understanding or validating
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