Morteza Noshad | DeepAI

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Featured Co-authors

Alfred O. Hero III
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Kevin R. Moon
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Salimeh Yasaei Sekeh
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∙ 12/09/2021

KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation

Iris segmentation and localization in unconstrained environments is chal...

2 Jalil Nourmohammadi Khiarak, et al. ∙

∙ 07/23/2020

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

The growing demand for key healthcare resources such as clinical experti...

0 Morteza Noshad, et al. ∙

∙ 09/16/2019

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

We address the problem of learning to benchmark the best achievable clas...

0 Morteza Noshad, et al. ∙

∙ 10/01/2018

Convergence Rates for Empirical Estimation of Binary Classification Bounds

Bounding the best achievable error probability for binary classification...

0 Salimeh Yasaei Sekeh, et al. ∙

∙ 01/27/2018

Scalable Mutual Information Estimation using Dependence Graphs

We propose a unified method for empirical non-parametric estimation of g...

0 Morteza Noshad, et al. ∙

∙ 01/01/2018

Scalable Hash-Based Estimation of Divergence Measures

We propose a scalable divergence estimation method based on hashing. Con...

0 Morteza Noshad, et al. ∙

∙ 02/17/2017

Direct Estimation of Information Divergence Using Nearest Neighbor Ratios

We propose a direct estimation method for Rényi and f-divergence measure...

0 Morteza Noshad, et al. ∙

∙ 09/13/2016

Information Theoretic Structure Learning with Confidence

Information theoretic measures (e.g. the Kullback Liebler divergence and...

0 Kevin R. Moon, et al. ∙

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