| Deep learning for biometrics: A survey K Sundararajan, DL Woodard ACM Computing Surveys (CSUR) 51 (3), 1-34, 2018 | 343 | 2018 |
| Surveying stylometry techniques and applications T Neal, K Sundararajan, A Fatima, Y Yan, Y Xiang, D Woodard ACM Computing Surveys (CSuR) 50 (6), 1-36, 2017 | 314 | 2017 |
| Sleep classification from wrist-worn accelerometer data using random forests K Sundararajan, S Georgievska, BHW te Lindert, PR Gehrman, ... Scientific Reports 11 (1), 2021 | 103 | 2021 |
| What represents “style” in authorship attribution? K Sundararajan, D Woodard Proceedings of the 27th International Conference on Computational …, 2018 | 53 | 2018 |
| Head pose estimation in the wild using approximate view manifolds K Sundararajan, DL Woodard Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 41 | 2015 |
| Exploiting linguistic style as a cognitive biometric for continuous verification T Neal, K Sundararajan, D Woodard 2018 International Conference on Biometrics (ICB), 270-276, 2018 | 29 | 2018 |
| Style signatures to combat biometric menagerie in stylometry K Sundararajan, T Neal, D Woodard 2018 International Conference on Biometrics (ICB), 263-269, 2018 | 5 | 2018 |
| Unified point-edgelet feature tracking K Sundararajan | 5 | 2011 |
| Periocular-based soft biometric classification DL Woodard, KL Sundararajan, NL Tobias, JL Lyle | 2 | 2017 |
| Analysis of Stylometry as a cognitive biometric trait K Sundararajan https://ufdcimages.uflib.ufl.edu/UF/E0/05/25/30/00001/SUNDARARAJAN_K.pdf, 2018 | | 2018 |