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      Convolutional Neural Network Applications in Fire Debris Classification
    
        Date Published

September 2022
  Agencies
          NIJ-Sponsored
    Validation of ground truth fire debris classification by supervised machine learning
    
        Date Published

December 2021

  Journal
              Forensic Chemistry
  Agencies
          NIJ-Sponsored
    Application of Self-Organizing Maps to the Analysis of Ignitable Liquid and Substrate Pyrolysis Samples
    
        Date Published

2018

  Journal
              Separations
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          NIJ-Sponsored
    Model-effects on Likelihood Ratios for Fire Debris Analysis
    
        Date Published

2018

  Journal
              Forensic Chemistry
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          NIJ-Sponsored
    Model Distribution Effects on Likelihood Ratios in Fire Debris Analysis
    
        Date Published

2018

  Journal
              Separations
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          NIJ-Sponsored
    Major Chemical Compounds in the Ignitable Liquids Reference Collection and Substrate Databases
    
        Date Published

September 2017

  Journal
              Forensic Chemistry
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          NIJ-Sponsored
    Biodegradation of Representative Ignitable Liquid Components on Soil
    
        Date Published

2017

  Journal
              Forensic Chemistry
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          NIJ-Sponsored
    Class-conditional feature modeling for ignitable liquid classification with substantial substrate contribution in fire debris analysis
    
        Date Published

2015

  Journal
              Forensic Science International
  Agencies
          NIJ-Sponsored
    Progress Toward the Determination of Correct Classification Rates in Fire Debris Analysis II: Utilizing Soft Independent Modeling of Class Analogy (SIMCA)
    
        Date Published

July 2014

  Journal
              Journal of Forensic Sciences
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