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
602010
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
372016
Orthogonal bases for polynomial regression with derivative information in uncertainty quantification
Y Li, M Anitescu, O Roderick, F Hickernell
International Journal for Uncertainty Quantification 1 (4), 2011
222011
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
122014
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
92015
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
92010
Flow visualization of supersonic free jet utilizing acetone LIF
K Hatanaka, M Hirota, T Saito, Y Nakamura, Y Suzuki, T Koyaguchi
28th International Symposium on Shock Waves, 179-184, 2012
62012
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
62010
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
62009
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
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
22017
Volume 223
Z Wu, W Hu
22004
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
Transactions 108 (1), 449-450, 2013
2013
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
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Articles 1–20