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2020 – today
- 2023
[j1]Anoop Krishnan, Ajita Rattani:
A novel approach for bias mitigation of gender classification algorithms using consistency regularization. Image Vis. Comput. 137: 104793 (2023)- 2022
- [i5]Anoop Krishnan, Brian Neas, Ajita Rattani:
Is Facial Recognition Biased at Near-Infrared Spectrum As Well? CoRR abs/2211.00129 (2022) - 2021
- [c5]Anoop Krishnan, Ali Almadan, Ajita Rattani:
Investigating Fairness of Ocular Biometrics Among Young, Middle-Aged, and Older Adults. ICCST 2021: 1-7 - [i4]Anoop Krishnan, Ali Almadan, Ajita Rattani:
Investigating Fairness of Ocular Biometrics Among Young, Middle-Aged, and Older Adults. CoRR abs/2110.01641 (2021) - 2020
- [c4]Maria Villa, Mikhail I. Gofman, Sinjini Mitra, Ali Almadan, Anoop Krishnan
, Ajita Rattani:
A Survey of Biometric and Machine Learning Methods for Tracking Students' Attention and Engagement. ICMLA 2020: 948-955 - [c3]Anoop Krishnan, Ali Almadan, Ajita Rattani:
Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups. ICMLA 2020: 1028-1035 - [c2]Ali Almadan, Anoop Krishnan, Ajita Rattani:
BWCFace: Open-set Face Recognition using Body-worn Camera. ICMLA 2020: 1036-1043 - [c1]Anoop Krishnan, Ali Almadan, Ajita Rattani:
Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset. ICPR Workshops (8) 2020: 229-243 - [i3]Ali Almadan, Anoop Krishnan, Ajita Rattani:
BWCFace: Open-set Face Recognition using Body-worn Camera. CoRR abs/2009.11458 (2020) - [i2]Anoop Krishnan, Ali Almadan, Ajita Rattani:
Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups. CoRR abs/2009.11491 (2020) - [i1]Anoop Krishnan, Ali Almadan, Ajita Rattani:
Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset. CoRR abs/2011.08898 (2020)
Coauthor Index
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