Mohammad Shahrokh Esfahani
Orcid: 0000-0002-0950-3937
According to our database1,
Mohammad Shahrokh Esfahani
authored at least 19 papers
between 2011 and 2019.
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Bibliography
2019
Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
2018
IEEE Trans. Signal Process., 2018
2017
IEEE Trans. Signal Process., 2017
Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors.
BMC Bioinform., 2017
Bayesian Kalman filtering in the presence of unknown noise statistics using factor graphs.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
Noninvasive Cancer Classification Using Diverse Genomic Features in Circulating Tumor DNA.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
Inference of Nonlinear ODE-Based Gene Regulatory Networks via Intrinsically Bayesian Robust Kalman Filtering.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
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., 2015
Pattern Recognit., 2015
2014
Incorporation of Biological PathwayKnowledge in the Construction of Priorsfor Optimal Bayesian Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
2013
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., 2013
A Cooperative MARC Scheme Using Analogue Network Coding to Achieve Second-Order Diversity
CoRR, 2013
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
2011
Probabilistic reconstruction of the tumor progression process in gene regulatory networks in the presence of uncertainty.
BMC Bioinform., 2011
Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011