| 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 | 29 | 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 | 2 | 2023 |
| 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 |
| SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition K Nzalasse, R Raj, E Laird, C Clark arXiv preprint arXiv:2409.08345, 2024 | 1 | 2024 |
| SmartCADD: AI-QM Empowered Drug Discovery Platform with Explainability A Madushanka, E Laird, C Clark, E Kraka Journal of Chemical Information and Modeling 64 (17), 6799-6813, 2024 | 1 | 2024 |
John J. Howard, Ph.D.Principal Scientist, Maryland Test Facility | Research Fellow, SMUEmail confirmado em smu.edu