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Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles


Jul 23, 2020
Morteza Noshad, Ivana Jankovic, Jonathan H. Chen

* Proceedings of 2020 KDD Workshop onApplied Data Science for Healthcare (KDD 2020).ACM 

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


Sep 16, 2019
Morteza Noshad, Li Xu, Alfred Hero

* 34 pages 

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Convergence Rates for Empirical Estimation of Binary Classification Bounds


Oct 01, 2018
Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero

* 27 pages, 8 figures 

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Scalable Mutual Information Estimation using Dependence Graphs


Jan 27, 2018
Morteza Noshad, Alfred O. Hero III

* 16 Pages 

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Direct Estimation of Information Divergence Using Nearest Neighbor Ratios


Nov 20, 2017
Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III

* In Information Theory (ISIT), 2017 IEEE International Symposium on (pp. 903-907). IEEE 
* 2017 IEEE International Symposium on Information Theory (ISIT) 

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Information Theoretic Structure Learning with Confidence


Sep 13, 2016
Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III

* IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 6095-6099, Mar. 2017 
* 10 pages, 3 figures 

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Low-Complexity Stochastic Generalized Belief Propagation


May 06, 2016
Farzin Haddadpour, Mahdi Jafari Siavoshani, Morteza Noshad

* 18 pages, 11 figures, a shorter version of this paper was accepted in ISIT'16 

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