Mohammad Shahrokh Esfahani

发表

Optimal Bayesian Kalman Filtering With Prior Update

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2018, IEEE Transactions on Signal Processing.

Using prior knowledge in the design of classifiers

Mohammad Shahrokh Esfahani, 2014 .

Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A Bayesian framework for robust Kalman filtering under uncertain noise statistics

Edward R. Dougherty, Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Bayesian Kalman filtering in the presence of unknown noise statistics using factor graphs

Edward R. Dougherty, Xiaoning Qian, Roozbeh Dehghannasiri, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood

Edward R. Dougherty, Amin Zollanvari, Byung-Jun Yoon, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

A Cooperative MARC Scheme Using Analogue Network Coding to Achieve Second-Order Diversity pdf

Masoumeh Nasiri-Kenari, Mohammad Shahrokh Esfahani, 2013, ArXiv.

Discrete optimal Bayesian classification with error-conditioned sequential sampling

Edward R. Dougherty, Byung-Jun Yoon, Mohammad Shahrokh Esfahani, 2015, Pattern Recognit..

Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors

Edward R. Dougherty, Xiaoning Qian, Shahin Boluki, 2017, BMC Bioinformatics.

Achieving Full Diversity Order in MARC Using Analogue Network Coding Mohammad

Masoumeh Nasiri-Kenari, Mohammad Shahrokh Esfahani, 2013 .

Intrinsically Bayesian Robust Kalman Filter: An Innovation Process Approach

Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, M. S. Esfahani, 2017, IEEE Transactions on Signal Processing.

An Optimization-Based Framework for the Transformation of Incomplete Biological Knowledge into a Probabilistic Structure and Its Application to the Utilization of Gene/Protein Signaling Pathways in Discrete Phenotype Classification

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Probabilistic reconstruction of the tumor progression process in gene regulatory networks in the presence of uncertainty

Edward R. Dougherty, Byung-Jun Yoon, Mohammad Shahrokh Esfahani, 2011, BMC Bioinformatics.

Sample-based prior probability construction using biological pathway knowledge

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Inference of Nonlinear ODE-Based Gene Regulatory Networks via Intrinsically Bayesian Robust Kalman Filtering

Edward R. Dougherty, Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, 2016, BCB.

Incorporation of Biological Pathway Knowledge in the Construction of Priors for Optimal Bayesian Classification

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Noninvasive Cancer Classification Using Diverse Genomic Features in Circulating Tumor DNA

Robert Tibshirani, Ash A. Alizadeh, Mohammad Shahrokh Esfahani, 2016, BCB.

Effect of separate sampling on classification and the minimax criterion

Edward R. Dougherty, Mohammad Shahrokh Esfahani, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Effect of separate sampling on classification accuracy

Edward R. Dougherty, Mohammad Shahrokh Esfahani, E. Dougherty, 2014, Bioinform..

OBGene: Optimal barcode generator for NGS experiments

Mohammad Shahrokh Esfahani, Esmaeil Atashpaz-Gargari, Charles D. Johnson, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification

Edward R. Dougherty, Amin Zollanvari, Byung-Jun Yoon, 2013, Pattern Recognit..