1 citations · 1 across the 2 of their papers we have counts for
3 papers
Unlocking the power of partnership: How humans and machines can work together to improve face recognition
P. Jonathon Phillips, Geraldine Jeckeln, Amy N. Yates +3
Human review of consequential decisions by face recognition algorithms creates a collaborative human-machine system. We establish the circumstances under which combining human and…
Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?
Geraldine Jeckeln, Selin Yavuzcan, Kate A. Marquis +4
Face recognition algorithms perform more accurately than humans in some cases, though humans and machines both show race-based accuracy differences. As algorithms continue to impro…
Face Identification Proficiency Test Designed Using Item Response Theory
Géraldine Jeckeln, Ying Hu, Jacqueline G. Cavazos +5
Measures of face-identification proficiency are essential to ensure accurate and consistent performance by professional forensic face examiners and others who perform face-identifi…