Yates, Amy N.
National Institute of Standards and Technology · Information Technology Laboratory
4 papers on CoChatORCID 0000-0002-1250-1967
Most cited papers
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Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms
Phillips, P. J., Yates, A. N., Hu, Y., Hahn, C. A., Noyes, E., Jackson, K., Cavazos, J. G., Jeckeln, G., Ranjan, R., Sankaranarayanan, S., et al. (2018) · Proceedings of the National Academy of Sciences
Face Recognition and PerceptionFace recognition and analysis
Cited by 461
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MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation
Guan, H., Kozak, M., Robertson, E., Lee, Y., Yates, A. N., Delgado, A., Zhou, D., Kheyrkhah, T., Smith, J., & Fiscus, J. (2019) · 2019 IEEE Winter Applications of Computer Vision Workshops (WACVW)
Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques
Cited by 329
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Four principles of explainable artificial intelligence
Phillips, P. J., Hahn, C. A., Fontana, P. C., Yates, A. N., Greene, K., Broniatowski, D. A., & Przybocki, M. A. (2021)
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 262
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User guide for NIST Media Forensic Challenge (MFC) datasets
Guan, H., Delgado, A., Lee, Y., Yates, A. N., Zhou, D., Kheyrkhah, T., & Fiscus, J. (2021)
Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques
Cited by 8
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