In Silico Created Fire Debris Data for Machine Learning
Analyst and machine learning opinions in fire debris analysis
Convolutional Neural Network Applications in Fire Debris Classification
Validation of ground truth fire debris classification by supervised 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
Biodegradation of Representative Ignitable Liquid Components on Soil
Degraded Ignitable Liquids Database: An Applied Study of Weathering and Bacterial Degradation on the Chromatographic Patterns of ASTM E 1618 Ignitable Liquid Classes
Class-conditional feature modeling for ignitable liquid classification with substantial substrate contribution in fire debris analysis
Comparison of Microspectrophotometry and Room-Temperature Fluorescence Excitation-Emission Matrix Spectroscopy for Non-Destructive Forensic Fiber Examination
Application of self-organizing feature maps to analyze the relationships between ignitable liquids and selected mass spectral ions
Analysis of triacetone triperoxide explosive by mass spectrometry
Combined target factor analysis and Bayesian soft-classification of interference-contaminated samples: Forensic Fire Debris Analysis
Application of Laser-Induced Breakdown Spectroscopy to Forensic Science: Analysis of Paint and Glass Samples
Analysis of oligomeric peroxides in synthetic triacetone triperoxide samples by tandem mass spectrometry
Analysis of triacetone triperoxide (TATP) and TATP synthetic intermediates by electrospray ionization mass spectrometry
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