Morteza Noshad

According to our database, Morteza Noshad authored at least 23 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

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., December, 2023

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

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

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

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

Proceedings of the AMIA 2022, 2022

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

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

NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization.

Caiyong Wang, Yunlong Wang, Kunbo Zhang, Jawad Muhammad, Tianhao Lu, Qi Zhang, Qichuan Tian, Zhaofeng He, Zhenan Sun, Yiwen Zhang, Tianbao Liu, Wei Yang, Dongliang Wu, Yingfeng Liu, Ruiye Zhou, Huihai Wu, Hao Zhang, Junbao Wang, Jiayi Wang, Wantong Xiong, Xueyu Shi, Shao Zeng, Peihua Li, Haodong Sun, Jing Wang, Jiale Zhang, Qi Wang, Huijie Wu, Xinhui Zhang, Haiqing Li, Yu Chen, Liang Chen, Menghan Zhang, Ye Sun, Zhiyong Zhou, Fadi Boutros, Naser Damer, Arjan Kuijper, Juan E. Tapia, Andres Valenzuela, Christoph Busch, Gourav Gupta, Kiran B. Raja, Xi Wu, Xiaojie Li, Jingfu Yang, Hongyan Jing, Xin Wang, Bin Kong, Youbing Yin, Qi Song, Siwei Lyu, Shu Hu, Leon Premk, Matej Vitek, Vitomir Struc, Peter Peer, Jalil Nourmohammadi-Khiarak, Farhang Jaryani, Samaneh Salehi Nasab, Seyed Naeim Moafinejad, Yasin Amini, Morteza Noshad

Proceedings of the International IEEE Joint Conference on Biometrics, 2021

Signal from the Noise: Quantitative Measures of Conformity and Variability From Process Mining Maps.

Christian Rose, Morteza Noshad, Jonathan H. Chen

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.

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

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.

Morteza Noshad, Ivana Jankovic, Jonathan H. Chen

CoRR, 2020

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

Proceedings of the AMIA 2020, 2020

2019

Convergence Rates for Empirical Estimation of Binary Classification Bounds.

Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III

Entropy, 2019

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

Morteza Noshad, Li Xu, Alfred O. Hero III

CoRR, 2019

Scalable Mutual Information Estimation Using Dependence Graphs.

Morteza Noshad, Yu Zeng, Alfred O. Hero III

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Scalable Mutual Information Estimation using Dependence Graphs.

Morteza Noshad, Alfred O. Hero III

CoRR, 2018

Rate-Optimal Meta Learning of Classification Error.

Morteza Noshad, Alfred O. Hero III

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Scalable Hash-Based Estimation of Divergence Measures.

Morteza Noshad, Alfred O. Hero III

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Direct estimation of information divergence using nearest neighbor ratios.

Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Information theoretic structure learning with confidence.

Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Low-complexity stochastic Generalized Belief Propagation.

Farzin Haddadpour, Mahdi Jafari Siavoshani, Morteza Noshad

Proceedings of the IEEE International Symposium on Information Theory, 2016

2011

Optical Domain Multiuser Interference Estimation for Spectral Phase Encoding Optical Fibre CDMA Systems.

Arash Yazdani, Morteza Noshad, Hojat Jaliloghli, Amirhossein Jaliloghli, Mohammad Noshad

Proceedings of the DCNET 2011 and OPTICS 2011, 2011