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379 * ! Thu, 8/12/2021, 12:00 PM - 1:50 PM Virtual
Bias and Interpretability in Biometrics for Forensic Science — Topic-Contributed Papers
Section on Statistics in Defense and National Security, Advisory Committee on Forensic Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Christopher Saunders, South Dakota State University
Chair(s): Cami Fuglsby, South Dakota State University
12:05 PM Machine Learning Methods for Dependent Data Resulting from Forensic Evidence Comparisons
Danica M Ommen, Iowa State University; Federico Veneri, Iowa State University
12:25 PM Covariate-Adjusted ROC Curves: An Introduction and Application to Characterizing Hidden Behavior in Biometric Matching System
Larry Tang, University of Central Florida; Martin Slawski, George Mason University; Xiaochen Zhu, George Mason University
12:45 PM Generalized Fiducial Factor: An Alternative to the Bayes Factor for Forensic Identification of Source Problems
Jonathan P Williams, North Carolina State University; Danica M Ommen, Iowa State University; Jan Hannig, University of North Carolina at Chapel Hill
1:05 PM Machine Testimony
Andrea Roth, UC Berkeley School of Law
1:25 PM Discussant: Mike Smith, FBI Laboratory Division
1:35 PM Discussant: Christopher Saunders, South Dakota State University
1:45 PM Floor Discussion