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ORCIDMorteza Noshad
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2020 – today
- 2024
[i11]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 abs/2407.05189 (2024)- 2023
- [j6]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): 307-319 (2023) - [j5]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: 104407 (2023) - 2022
- [j4]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): 8-15 (2022) - [j3]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: 104004 (2022) - [c13]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 - 2021
- [j2]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): 82 (2021) - [c12]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 - [c11]Christian Rose, Morteza Noshad, Jonathan H. Chen:
Signal from the Noise: Quantitative Measures of Conformity and Variability From Process Mining Maps. AMIA 2021 - [c10]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: 1-10 - [i10]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 abs/2112.05236 (2021) - 2020
- [c9]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 - [i9]Morteza Noshad, Ivana Jankovic, Jonathan H. Chen:
Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles. CoRR abs/2007.12161 (2020)
2010 – 2019
- 2019
- [j1]Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III:
Convergence Rates for Empirical Estimation of Binary Classification Bounds. Entropy 21(12): 1144 (2019) - [c8]Morteza Noshad, Yu Zeng, Alfred O. Hero III:
Scalable Mutual Information Estimation Using Dependence Graphs. ICASSP 2019: 2962-2966 - [i8]Morteza Noshad, Li Xu, Alfred O. Hero III:
Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data. CoRR abs/1909.07192 (2019) - 2018
- [c7]Morteza Noshad, Alfred O. Hero III:
Scalable Hash-Based Estimation of Divergence Measures. AISTATS 2018: 1877-1885 - [c6]Morteza Noshad, Alfred O. Hero III:
Rate-Optimal Meta Learning of Classification Error. ICASSP 2018: 2481-2485 - [c5]Morteza Noshad, Alfred O. Hero III:
Scalable Hash-Based Estimation of Divergence Measures. ITA 2018: 1-10 - [i7]Morteza Noshad, Alfred O. Hero III:
Scalable Hash-Based Estimation of Divergence Measures. CoRR abs/1801.00398 (2018) - [i6]Morteza Noshad, Alfred O. Hero III:
Scalable Mutual Information Estimation using Dependence Graphs. CoRR abs/1801.09125 (2018) - [i5]Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III:
Convergence Rates for Empirical Estimation of Binary Classification Bounds. CoRR abs/1810.01015 (2018) - 2017
- [c4]Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Information theoretic structure learning with confidence. ICASSP 2017: 6095-6099 - [c3]Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Direct estimation of information divergence using nearest neighbor ratios. ISIT 2017: 903-907 - [i4]Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios. CoRR abs/1702.05222 (2017) - [i3]Morteza Noshad Iranzad, Alfred O. Hero III:
Rate-optimal Meta Learning of Classification Error. CoRR abs/1710.11315 (2017) - 2016
- [c2]Farzin Haddadpour, Mahdi Jafari Siavoshani, Morteza Noshad:
Low-complexity stochastic Generalized Belief Propagation. ISIT 2016: 785-789 - [i2]Farzin Haddadpour, Mahdi Jafari Siavoshani, Morteza Noshad:
Low-Complexity Stochastic Generalized Belief Propagation. CoRR abs/1605.02046 (2016) - [i1]Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Information Theoretic Structure Learning with Confidence. CoRR abs/1609.03912 (2016) - 2011
- [c1]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: 146-149
Coauthor Index
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