Optical Domain Multiuser Interference Estimation for Spectral Phase Encoding Optical Fibre CDMA Systems. - Arash Yazdani; Morteza Noshad; Hojat Jaliloghli; Amirhossein Jaliloghli; Mohammad Noshad (DCNET/OPTICS, 2011)

Low-complexity stochastic Generalized Belief Propagation. - Farzin Haddadpour; Mahdi Jafari Siavoshani; Morteza Noshad (ISIT, 2016)

Information theoretic structure learning with confidence. - Kevin R. Moon; Morteza Noshad; Salimeh Yasaei Sekeh; Alfred O. Hero III (ICASSP, 2017)

Direct estimation of information divergence using nearest neighbor ratios. - Morteza Noshad; Kevin R. Moon; Salimeh Yasaei Sekeh; Alfred O. Hero III (ISIT, 2017)

Scalable Hash-Based Estimation of Divergence Measures. - Morteza Noshad; Alfred O. Hero III (AISTATS, 2018)

Rate-Optimal Meta Learning of Classification Error. - Morteza Noshad; Alfred O. Hero III (ICASSP, 2018)

Scalable Mutual Information Estimation using Dependence Graphs. - Morteza Noshad; Alfred O. Hero III (CoRR, 2018)

Scalable Mutual Information Estimation Using Dependence Graphs. - Morteza Noshad; Yu Zeng; Alfred O. Hero III (ICASSP, 2019)

Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data. - Morteza Noshad; Li Xu; Alfred O. Hero III (CoRR, 2019)

Convergence Rates for Empirical Estimation of Binary Classification Bounds. - Salimeh Yasaei Sekeh; Morteza Noshad; Kevin R. Moon; Alfred O. Hero III (Entropy, 2019)

Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes. - Morteza Noshad; Christian Rose; Robert Thombley; Jonathan Chiang; Conor K. Corbin; Minh Nguyen; Vincent X. Liu; Julia Adler-Milstein; Jonathan H. Chen (AMIA, 2020)

Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles. - Morteza Noshad; Ivana Jankovic; Jonathan H. Chen (CoRR, 2020)

Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine. - Grace Y. E. Kim; Morteza Noshad; Henning Stehr; Rebecca Rojansky; Dita Gratzinger; Jean Oak; Rondeep Brar; David Iberri; Christina Kong; James L. Zehnder; Jonathan H. Chen (AMIA, 2021)

Signal from the Noise: Quantitative Measures of Conformity and Variability From Process Mining Maps. - Christian Rose; Morteza Noshad; Jonathan H. Chen (AMIA, 2021)

NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization. - Caiyong Wang; Yunlong Wang 003; Kunbo Zhang; Jawad Muhammad; Tianhao Lu; Qi Zhang 015; Qichuan Tian; Zhaofeng He; Zhenan Sun; Yiwen Zhang; Tianbao Liu; Wei Yang 006; et al. (IJCB, 2021)

KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation. - Jalil Nourmohammadi-Khiarak; Samaneh Salehi Nasab; Farhang Jaryani; Seyed Naeim Moafinejad; Rana Pourmohamad; Yasin Amini; Morteza Noshad (CoRR, 2021)

A data value metric for quantifying information content and utility. - Morteza Noshad; Jerome Choi; Yuming Sun; Alfred O. Hero III; Ivo D. Dinov (J. Big Data, 2021)

Leveraging EHR Audit Log Data to Unlock New Insights into Care Processes and Outcomes. - Christian Rose; Robert Thombley; Morteza Noshad; Ron Li; Wendy Lu; Heather A Clancy; David Schlessinger; Vincent X. Liu; Jonathan H. Chen; Julia Adler-Milstein (AMIA, 2022)

Team is brain: leveraging EHR audit log data for new insights into acute care processes. - Christian Rose; Robert Thombley; Morteza Noshad; Yun Lu; Heather A Clancy; David Schlessinger; Ron C. Li; Vincent X. Liu; Jonathan H. Chen; Julia Adler-Milstein (J. Am. Medical Informatics Assoc., 2022)

Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care. - Morteza Noshad; Christian Rose; Jonathan H. Chen (J. Biomed. Informatics, 2022)

Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning. - Sajjad Fouladvand; Federico Reyes Gomez; Hamed Nilforoshan; Matthew Schwede; Morteza Noshad; Olivia Jee; Jiaxuan You; Rok Sosic; Jure Leskovec; Jonathan H. Chen (J. Biomed. Informatics, 2023)

KartalOl: a new deep neural network framework based on transfer learning for iris segmentation and localization task - new dataset for iris segmentation. - Jalil Nourmohammadi-Khiarak; Amin Golzari Oskouei; Samaneh Salehi Nasab; Farhang Jaryani; Seyed Naeim Moafinejad; Rana Pourmohamad; Yasin Amini; Morteza Noshad (Iran J. Comput. Sci., 2023)

Enhancing Language Learning through Technology: Introducing a New English-Azerbaijani (Arabic Script) Parallel Corpus. - Jalil Nourmohammadi-Khiarak; Ammar Ahmadi; Taher Ak-bari Saeed; Meysam Asgari-Chenaghlu; Togrul Atabay; Mohammad Reza Baghban Karimi; Ismail Ceferli; Farzad Hasanvand; Seyed Mahboub Mousavi; Morteza Noshad (CoRR, 2024)

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy. - Mohammadreza Tavasoli Naeini; Ali Bereyhi; Morteza Noshad; Ben Liang 001; Alfred O. Hero III (ICASSP, 2025)