A Data-Driven Approach to Model the Generation Process of Bloodstain Patterns
This poster was presented at the 106th International Association for Identification
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
Jury Perception of Bullet Matching Algorithms and Demonstrative Evidence
Presented at Joint Statistical Meetings
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
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
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
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
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