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Morteza Noshad
Morteza Noshad
Research Scientist, Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Scalable mutual information estimation using dependence graphs
M Noshad, Y Zeng, AO Hero III
ICASSP 2019, arXiv preprint arXiv:1801.09125, 2018
832018
FWM minimization in WDM optical communication systems using the asymmetrical dispersion-managed fibers
M Noshad, A Rostami
optik 123 (9), 758-760, 2012
572012
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios
M Noshad, KR Moon, SY Sekeh, AO Hero III
ISIT2017, arXiv preprint arXiv:1702.05222, 2017
502017
Ultra compact and fast All Optical Flip Flop design in photonic crystal platform
A Abbasi, M Noshad, R Ranjbar, R Kheradmand
Optics Communications 285 (24), 5073-5078, 2012
432012
Novel all-optical logic gates based on photonic crystal structure
M Noshad, A Abbasi, R Ranjbar, R Kheradmand
Journal of Physics: Conference Series 350 (1), 012007, 2012
312012
NIR iris challenge evaluation in non-cooperative environments: Segmentation and localization
C Wang, Y Wang, K Zhang, J Muhammad, T Lu, Q Zhang, Q Tian, Z He, ...
2021 IEEE International joint conference on biometrics (IJCB), 1-10, 2021
242021
Information theoretic structure learning with confidence
KR Moon, M Noshad, SY Sekeh, AO Hero
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
212017
Personalized antibiograms for machine learning driven antibiotic selection
CK Corbin, L Sung, A Chattopadhyay, M Noshad, A Chang, S Deresinksi, ...
Communications medicine 2 (1), 38, 2022
202022
Scalable hash-based estimation of divergence measures
M Noshad, AO Hero
2018 International Conference on Artificial Intelligence and Statistics …, 2018
152018
Signal from the noise: a mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care
M Noshad, CC Rose, JH Chen
Journal of Biomedical Informatics 127, 104004, 2022
132022
A data value metric for quantifying information content and utility
M Noshad, J Choi, Y Sun, A Hero III, ID Dinov
Journal of big Data 8 (1), 82, 2021
122021
Learning to benchmark: Determining best achievable misclassification error from training data
M Noshad, L Xu, A Hero
arXiv preprint arXiv:1909.07192, 2019
92019
Rate-optimal Meta Learning of Classification Error
M Noshad, AO Hero III
arXiv preprint arXiv:1710.11315, 2017
72017
Team is brain: leveraging EHR audit log data for new insights into acute care processes
C Rose, R Thombley, M Noshad, Y Lu, HA Clancy, D Schlessinger, RC Li, ...
Journal of the American Medical Informatics Association 30 (1), 8-15, 2023
62023
Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes.
M Noshad, CC Rose, R Thombley, J Chiang, CK Corbin, M Nguyen, ...
AMIA Annual Symposium Proceedings 2020, 953, 2020
52020
Convergence rates for empirical estimation of binary classification bounds
SY Sekeh, M Noshad, KR Moon, AO Hero
Entropy 21 (12), 1144, 2019
52019
Low-complexity stochastic generalized belief propagation
F Haddadpour, MJ Siavoshani, M Noshad
2016 IEEE International Symposium on Information Theory (ISIT), 785-789, 2016
42016
Clinical recommender system: Predicting medical specialty diagnostic choices with neural network ensembles
M Noshad, I Jankovic, JH Chen
arXiv preprint arXiv:2007.12161, 2020
32020
Performance analysis of AND gates based on four-wave-mixing for application in optical-code division multiple access systems
M Noshad, SM Alavirad, S Sallent
IET optoelectronics 6 (1), 13-25, 2012
32012
KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation
JN Khiarak, SS Nasab, F Jaryani, SN Moafinejad, R Pourmohamad, ...
arXiv preprint arXiv:2112.05236, 2021
22021
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