Amin Zollanvari, Ph.D.
Affiliations: | 2010 | Texas A & M University, College Station, TX, United States |
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"Amin Zollanvari"Parents
Sign in to add mentorEdward R. Dougherty | grad student | 2010 | Texas A & M | |
(Analytic study of performance of error estimators for linear discriminant analysis with applications in genomics.) |
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Publications
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Zollanvari A, James AP, Sameni R. (2020) A Theoretical Analysis of the Peaking Phenomenon in Classification Journal of Classification. 37: 421-434 |
Zollanvari A, Dougherty ER. (2019) Optimal Bayesian Classification With Vector Autoregressive Data Dependency Ieee Transactions On Signal Processing. 67: 3073-3086 |
Zollanvari A, Abdirash M, Dadlani A, et al. (2019) Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification Ieee Signal Processing Letters. 26: 1300-1304 |
Zollanvari A. (2017) Nonoptimality of the Maximum-Weight Dependence Tree in Classification Ieee Signal Processing Letters. 24: 71-75 |
Bakir D, Pappachen James A, Zollanvari A. (2016) An Efficient Method to Estimate the Optimum Regularization Parameter in RLDA. Bioinformatics (Oxford, England) |
Zollanvari A, Dougherty ER. (2016) Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations. Eurasip Journal On Bioinformatics & Systems Biology. 2016: 2 |
Zollanvari A. (2015) High-Dimensional Statistical Learning: Roots, Justifications, and Potential Machineries. Cancer Informatics. 14: 109-21 |
Zollanvari A, Dougherty ER. (2015) Generalized consistent error estimator of linear discriminant analysis Ieee Transactions On Signal Processing. 63: 2804-2814 |
Braga-Neto UM, Zollanvari A, Dougherty ER. (2014) Cross-validation under separate sampling: strong bias and how to correct it. Bioinformatics (Oxford, England). 30: 3349-55 |
Zollanvari A, Dougherty ER. (2014) Moments and Root-Mean-Square Error of the Bayesian MMSE Estimator of Classification Error in the Gaussian Model. Pattern Recognition. 47: 2178-2192 |