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Oleg Roderick
Oleg Roderick
Data Insights and Analytics, Otsuka Pharmaceutical
Verified email at otsuka-us.com
Title
Cited by
Cited by
Year
Polynomial regression approaches using derivative information for uncertainty quantification
O Roderick, M Anitescu, P Fischer
Nuclear Science and Engineering 164 (2), 122-139, 2010
702010
Multilevel weighted support vector machine for classification on healthcare data with missing values
T Razzaghi, O Roderick, I Safro, N Marko
PloS one 11 (5), e0155119, 2016
622016
Orthogonal bases for polynomial regression with derivative information in uncertainty quantification
Y Li, M Anitescu, O Roderick, F Hickernell
Visualization of Mechanical Processes: An International Online Journal 1 (4), 2011
252011
Fast imbalanced classification of healthcare data with missing values
T Razzaghi, O Roderick, I Safro, N Marko
2015 18th International Conference on Information Fusion (Fusion), 774-781, 2015
182015
Proper orthogonal decompositions in multifidelity uncertainty quantification of complex simulation models
O Roderick, M Anitescu, Y Peet
International Journal of Computer Mathematics 91 (4), 748-769, 2014
142014
Using automatic differentiation in sensitivity analysis of nuclear simulation models
M Alexe, O Roderick, M Anitescu, J Utke, T Fanning, P Hovland
Transactions of the American Nuclear Society 102, 235, 2010
102010
Automatic differentiation of codes in nuclear engineering applications.
M Alexe, O Roderick, J Utke, M Anitescu, P Hovland, T Fanning
Argonne National Lab.(ANL), Argonne, IL (United States), 2009
72009
Data Analysis and Machine Learning Effort in Healthcare: Organization, Limitations, and Development of an Approach
O Roderick, N Marko, D Sanchez, A Aryasomajula
Internet of Things and Data Analytics Handbook, 295-328, 2017
62017
Stochastic finite element approaches using derivative information for uncertainty quantification
O Roderick, M Anitescu, P Fischer
Nuclear Science and Engineering 164 (2), 122-139, 2010
52010
Stochastic finite-element approach in nuclear reactor uncertainty quantification
O Roderick, M Anitescu, P Fischer, WS Yang
Transactions of American Nuclear Society 100, 317-318, 2009
42009
Dimensionality reduction for uncertainty quantification of nuclear engineering models.
O Roderick, Z Wang, M Anitescu
Trans. Am. Nucl. Soc. 104 (ANL/MCS/JA-69297), 2011
12011
Learning of highly-filtered data manifold using spectral methods
O Roderick, I Safro
International Conference on Learning and Intelligent Optimization, 154-168, 2010
12010
Dimensionality reduction for uncertainty quantification of nuclear engineering models
O Roderick, Z Wang, M Anitescu
Science and Engineering 164 (2), 122-138, 2010
12010
Model reduction for simulation, optimization and control
OE Roderick
Portland State University, 2009
12009
Use of Multi-fidelity Training Data in Uncertainty Analysis of Nuclear Engineering Applications
O Roderick, M Anitescu
Nuclear Science and Engineering, 2022
2022
Intrusive analysis for NEK5000: development of intrusive uncertainty quantification for high-dimensional, high-fidelity codes.
O Roderick, M Anitescu
Argonne National Lab.(ANL), Argonne, IL (United States), 2012
2012
Derivative-based uncertainty quantification: automatic differentiation tools for SAS.
O Roderick, M Anitescu, J Utke
Argonne National Lab.(ANL), Argonne, IL (United States), 2012
2012
Reduced Order Approximations in Uncertainty Analysis of Nuclear Engineering Applications
O Roderick, M Anitescu, Z Wang
Transactions of the American Nuclear Society 106, 437-438, 2012
2012
Sensitivity and Uncertainty Methodologies in Nuclear Calculations—I-Dimensionality Reduction for Uncertainty Quantification of Nuclear Engineering Models
O Roderick, Z Wang, M Anitescu
Transactions of the American Nuclear Society 104, 339, 2011
2011
Polynomial Regression with Derivative Information for Uncertainty Analysis of Complex Simulation Models.
O Roderick, M Anitescu, Y Li, Z Wang
2010
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