Morteza Noshad

According to our database1, Morteza Noshad authored at least 22 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
KartalOl: a new deep neural network framework based on transfer learning for iris segmentation and localization task - new dataset for iris segmentation.
Iran J. Comput. Sci., December, 2023

Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.
J. Biomed. Informatics, 2023

2022
Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care.
J. Biomed. Informatics, 2022

Team is brain: leveraging EHR audit log data for new insights into acute care processes.
J. Am. Medical Informatics Assoc., 2022

Leveraging EHR Audit Log Data to Unlock New Insights into Care Processes and Outcomes.
Proceedings of the AMIA 2022, 2022

2021
A data value metric for quantifying information content and utility.
J. Big Data, 2021

KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation.
CoRR, 2021


Signal from the Noise: Quantitative Measures of Conformity and Variability From Process Mining Maps.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles.
CoRR, 2020

Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes.
Proceedings of the AMIA 2020, 2020

2019
Convergence Rates for Empirical Estimation of Binary Classification Bounds.
Entropy, 2019

Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data.
CoRR, 2019

Scalable Mutual Information Estimation Using Dependence Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Scalable Mutual Information Estimation using Dependence Graphs.
CoRR, 2018

Scalable Hash-Based Estimation of Divergence Measures.
Proceedings of the 2018 Information Theory and Applications Workshop, 2018

Rate-Optimal Meta Learning of Classification Error.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Direct estimation of information divergence using nearest neighbor ratios.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Information theoretic structure learning with confidence.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Low-complexity stochastic Generalized Belief Propagation.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2011
Optical Domain Multiuser Interference Estimation for Spectral Phase Encoding Optical Fibre CDMA Systems.
Proceedings of the DCNET 2011 and OPTICS 2011, 2011


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