Browse and search a list of publications and products both published by NIJ and resulting from NIJ funding. This list includes reports submitted by grantees, NIJ reports and other publications, NIJ Journal issues and articles, products published by grantees, and articles appearing in peer review and other publications.
Evaluating Machine Learning Methods on a Large-scale of in Silico Fire Debris Data
In Silico Created Fire Debris Data for Machine Learning
Classification of ground-truth fire debris samples using artificial neural networks
Application of Self-Organizing Maps to the Analysis of Ignitable Liquid and Substrate Pyrolysis Samples
Model-effects on Likelihood Ratios for Fire Debris Analysis
Model Distribution Effects on Likelihood Ratios in Fire Debris Analysis
Major Chemical Compounds in the Ignitable Liquids Reference Collection and Substrate Databases
Investigative Probabilistic Inferences of Smokeless Powder Manufacturers Utilizing a Bayesian Network
Biodegradation of Representative Ignitable Liquid Components on Soil
Progress Toward the Determination of Correct Classification Rates in Fire Debris Analysis II: Utilizing Soft Independent Modeling of Class Analogy (SIMCA)
Application of self-organizing feature maps to analyze the relationships between ignitable liquids and selected mass spectral ions
Combined target factor analysis and Bayesian soft-classification of interference-contaminated samples: Forensic Fire Debris Analysis
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