‪Eli Laird‬ - ‪Google Scholar‬

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2022202320244 10 5

Co-authors

John J. Howard, Ph.D.Principal Scientist, Maryland Test Facility | Research Fellow, SMUVerified email at smu.edu
Yevgeniy Sirotin, PhDMaryland Test Facility / IDSL / SAICVerified email at idslabs.org
Corey ClarkSouthern Methodist UniversityVerified email at smu.edu
Ayesh MadushankaSouthern Methodist UniversityVerified email at smu.edu

Eli Laird

Eli Laird

PhD Student, Southern Methodist University

Verified email at smu.edu - Homepage

Computer Vision Biometrics Explainable AI Human-in-the-Loop ML Graph Neural Networks


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Evaluating proposed fairness models for face recognition algorithms JJ Howard, EJ Laird, RE Rubin, YB Sirotin, JL Tipton, AR Vemury International Conference on Pattern Recognition, 431-447, 2022	16	2022
Disparate impact in facial recognition stems from the broad homogeneity effect: A case study and method to resolve JJ Howard, EJ Laird, YB Sirotin International Conference on Pattern Recognition, 448-464, 2022	2	2022
XInsight: Revealing Model Insights for GNNs with Flow-Based Explanations E Laird, A Madushanka, E Kraka, C Clark World Conference on Explainable Artificial Intelligence, 303-320, 2023	1	2023

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Articles 1–3