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ORCIDMohammad Shahrokh Esfahani
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2010 – 2019
- 2019
[j10]Shahin Boluki
, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 524-537 (2019)- 2018
- [j9]Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Optimal Bayesian Kalman Filtering With Prior Update. IEEE Trans. Signal Process. 66(8): 1982-1996 (2018) - 2017
- [j8]Shahin Boluki, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors. BMC Bioinform. 18(14): 61-80 (2017) - [j7]Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani:
Intrinsically Bayesian Robust Kalman Filter: An Innovation Process Approach. IEEE Trans. Signal Process. 65(10): 2531-2546 (2017) - [c8]Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R. Dougherty:
Bayesian Kalman filtering in the presence of unknown noise statistics using factor graphs. ACSSC 2017: 166-170 - 2016
- [c7]Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, Edward R. Dougherty:
A Bayesian framework for robust Kalman filtering under uncertain noise statistics. ACSSC 2016: 1545-1549 - [c6]Mohammad Shahrokh Esfahani, Aaron M. Newman, Florian Scherer, Robert Tibshirani, Maximilian Diehn, Ash A. Alizadeh:
Noninvasive Cancer Classification Using Diverse Genomic Features in Circulating Tumor DNA. BCB 2016: 516 - [c5]Roozbeh Dehghannasiri, Mohammad Shahrokh Esfahani, Edward R. Dougherty:
Inference of Nonlinear ODE-Based Gene Regulatory Networks via Intrinsically Bayesian Robust Kalman Filtering. BCB 2016: 542-543 - 2015
- [j6]Ariana Broumand, Mohammad Shahrokh Esfahani, Byung-Jun Yoon, Edward R. Dougherty:
Discrete optimal Bayesian classification with error-conditioned sequential sampling. Pattern Recognit. 48(11): 3766-3782 (2015) - [j5]Mohammad Shahrokh Esfahani, Edward R. Dougherty:
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. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1304-1321 (2015) - 2014
- [j4]Mohammad Shahrokh Esfahani, Edward R. Dougherty:
Effect of separate sampling on classification accuracy. Bioinform. 30(2): 242-250 (2014) - [j3]Mohammad Shahrokh Esfahani, Edward R. Dougherty:
Incorporation of Biological PathwayKnowledge in the Construction of Priorsfor Optimal Bayesian Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 202-218 (2014) - 2013
- [j2]Mohammad Shahrokh Esfahani, Jason M. Knight, Amin Zollanvari, Byung-Jun Yoon, Edward R. Dougherty:
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. Pattern Recognit. 46(10): 2783-2797 (2013) - [c4]Mohammad Shahrokh Esfahani, Edward R. Dougherty:
Sample-based prior probability construction using biological pathway knowledge. ACSSC 2013: 1405-1409 - [c3]Mohammad Shahrokh Esfahani, Edward R. Dougherty:
Effect of separate sampling on classification and the minimax criterion. GENSiPS 2013: 72-73 - [i1]Mohammad Shahrokh Esfahani, Masoumeh Nasiri-Kenari:
A Cooperative MARC Scheme Using Analogue Network Coding to Achieve Second-Order Diversity. CoRR abs/1303.0058 (2013) - 2012
- [c2]Esmaeil Atashpaz-Gargari, Mohammad Shahrokh Esfahani, Richard Metz, Charles D. Johnson:
OBGene: Optimal barcode generator for NGS experiments. GENSiPS 2012: 90-94 - 2011
- [j1]Mohammad Shahrokh Esfahani, Byung-Jun Yoon, Edward R. Dougherty:
Probabilistic reconstruction of the tumor progression process in gene regulatory networks in the presence of uncertainty. BMC Bioinform. 12(S-10): S9 (2011) - [c1]Mohammad Shahrokh Esfahani, Amin Zollanvari, Byung-Jun Yoon, Edward R. Dougherty:
Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood. GENSiPS 2011: 91-94
Coauthor Index
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