| Polynomial regression approaches using derivative information for uncertainty quantification O Roderick, M Anitescu, P Fischer Nuclear Science and Engineering 164 (2), 122-139, 2010 | 60 | 2010 |
| 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 | 38 | 2016 |
| 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 | 23 | 2011 |
| 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 | 12 | 2014 |
| 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 | 9 | 2015 |
| 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 | 9 | 2010 |
| 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 | 6 | 2012 |
| 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 | 6 | 2010 |
| 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 | 6 | 2009 |
| 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 | 4 | 2009 |
| 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 | 3 | 2017 |
| Volume 223 Z Wu, W Hu | 2 | 2004 |
| 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 | 1 | 2011 |
| Learning of highly-filtered data manifold using spectral methods O Roderick, I Safro International Conference on Learning and Intelligent Optimization, 154-168, 2010 | 1 | 2010 |
| Dimensionality reduction for uncertainty quantification of nuclear engineering models O Roderick, Z Wang, M Anitescu Science and Engineering 164 (2), 122-138, 2010 | 1 | 2010 |
| Model reduction for simulation, optimization and control OE Roderick Portland State University, 2009 | 1 | 2009 |
| 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 |
Mihai AnitescuSenior Computational Mathematician, Argonne National LaboratoryVerified email at mcs.anl.gov
