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Littman Architecture Library

The New Jersey Institute of Technology's Electronic Theses & Dissertations Project

Graves, William
has served on the committee of
4 theses/dissertations that are available online.

* indicates that the advisor was committee chair or co-chair.


Author Degree Year Title ETD#
Yang, Yanan Contact the author PhD © 2022 Adversarially robust and accurate machine learning for image classification njit-etd2022-086
Xie, Meiyan Contact the author PhD © 2021 Towards adversarial robustness with 01 lossmodels, and novel convolutional neural netsystems for ultrasound images njit-etd2021-051
Xue, Yunzhe Contact the author PhD © 2021 Gradient free sign activation zero one loss neural networks for adversarially robust classification njit-etd2021-052
Farhat, Fadi G. Contact the author MS © 2019 A study of machine learning and deep learning models for solving medical imaging problems njit-etd2019-006

If you have any questions please contact the ETD Team, libetd@njit.edu.

Created 4/12/01; updated 8/30/02, 06/30/05

 
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NJIT's ETD project was given an ACRL/NJ Technology Innovation Honorable Mention Award in spring 2003