Morteza Noshad

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 28

Top Topics

Generalized Belief Propagation

Transfer Learning

Misclassification Error

Top Venues

Publications

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
Enhancing Language Learning through Technology: Introducing a New English-Azerbaijani (Arabic Script) Parallel Corpus. CoRR (2024)
Sajjad Fouladvand, Federico Reyes Gomez, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan H. Chen
Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning. J. Biomed. Informatics 143 (2023)
Jalil Nourmohammadi-Khiarak, Amin Golzari Oskouei, Samaneh Salehi Nasab, Farhang Jaryani, Seyed Naeim Moafinejad, Rana Pourmohamad, Yasin Amini, Morteza Noshad
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. 6 (4) (2023)
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
Team is brain: leveraging EHR audit log data for new insights into acute care processes. J. Am. Medical Informatics Assoc. 30 (1) (2022)
Christian Rose, Robert Thombley, Morteza Noshad, Ron Li, Wendy Lu, Heather A Clancy, David Schlessinger, Vincent X. Liu, Jonathan H. Chen, Julia Adler-Milstein
Leveraging EHR Audit Log Data to Unlock New Insights into Care Processes and Outcomes. AMIA (2022)
Morteza Noshad, Christian Rose, Jonathan H. Chen
Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care. J. Biomed. Informatics 127 (2022)
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
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization. IJCB (2021)
Morteza Noshad, Jerome Choi, Yuming Sun, Alfred O. Hero III, Ivo D. Dinov
A data value metric for quantifying information content and utility. J. Big Data 8 (1) (2021)
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
Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine. AMIA (2021)
Christian Rose, Morteza Noshad, Jonathan H. Chen
Signal from the Noise: Quantitative Measures of Conformity and Variability From Process Mining Maps. AMIA (2021)
Jalil Nourmohammadi-Khiarak, Samaneh Salehi Nasab, Farhang Jaryani, Seyed Naeim Moafinejad, Rana Pourmohamad, Yasin Amini, Morteza Noshad
KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation. CoRR (2021)
Morteza Noshad, Christian Rose, Robert Thombley, Jonathan Chiang, Conor K. Corbin, Minh Nguyen, Vincent X. Liu, Julia Adler-Milstein, Jonathan H. Chen
Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes. AMIA (2020)
Morteza Noshad, Ivana Jankovic, Jonathan H. Chen
Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles. CoRR (2020)
Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III
Convergence Rates for Empirical Estimation of Binary Classification Bounds. Entropy 21 (12) (2019)
Morteza Noshad, Yu Zeng, Alfred O. Hero III
Scalable Mutual Information Estimation Using Dependence Graphs. ICASSP (2019)
Morteza Noshad, Li Xu, Alfred O. Hero III
Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data. CoRR (2019)
Morteza Noshad, Alfred O. Hero III
Scalable Hash-Based Estimation of Divergence Measures. CoRR (2018)
Morteza Noshad, Alfred O. Hero III
Rate-Optimal Meta Learning of Classification Error. ICASSP (2018)
Morteza Noshad, Alfred O. Hero III
Scalable Hash-Based Estimation of Divergence Measures. ITA (2018)
Morteza Noshad, Alfred O. Hero III
Scalable Hash-Based Estimation of Divergence Measures. AISTATS (2018)
Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III
Convergence Rates for Empirical Estimation of Binary Classification Bounds. CoRR (2018)
Morteza Noshad, Alfred O. Hero III
Scalable Mutual Information Estimation using Dependence Graphs. CoRR (2018)
Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III
Information theoretic structure learning with confidence. ICASSP (2017)
Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios. CoRR (2017)
Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III
Direct estimation of information divergence using nearest neighbor ratios. ISIT (2017)
Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III
Information Theoretic Structure Learning with Confidence. CoRR (2016)
Farzin Haddadpour, Mahdi Jafari Siavoshani, Morteza Noshad
Low-Complexity Stochastic Generalized Belief Propagation. CoRR (2016)
Farzin Haddadpour, Mahdi Jafari Siavoshani, Morteza Noshad
Low-complexity stochastic Generalized Belief Propagation. ISIT (2016)
Arash Yazdani, Morteza Noshad, Hojat Jaliloghli, Amirhossein Jaliloghli, Mohammad Noshad
Optical Domain Multiuser Interference Estimation for Spectral Phase Encoding Optical Fibre CDMA Systems. DCNET/OPTICS (2011)