| Symplectic integration of Hamiltonian systems PJ Channell, C Scovel Nonlinearity 3 (2), 231, 1990 | 654 | 1990 |
| A Classification Framework for Anomaly Detection. I Steinwart, D Hush, C Scovel Journal of Machine Learning Research 6 (2), 2005 | 469 | 2005 |
| Back in the saddle again: a computer assisted study of the Kuramoto–Sivashinsky equation IG Kevrekidis, B Nicolaenko, JC Scovel SIAM Journal on Applied Mathematics 50 (3), 760-790, 1990 | 374 | 1990 |
| Fast rates for support vector machines using Gaussian kernels I Steinwart, C Scovel | 342 | 2007 |
| Optimal Rates for Regularized Least Squares Regression. I Steinwart, DR Hush, C Scovel COLT, 79-93, 2009 | 330 | 2009 |
| An explicit description of the reproducing kernel Hilbert spaces of Gaussian RBF kernels I Steinwart, D Hush, C Scovel IEEE Transactions on Information Theory 52 (10), 4635-4643, 2006 | 309 | 2006 |
| Mercer’s theorem on general domains: On the interaction between measures, kernels, and RKHSs I Steinwart, C Scovel Constructive Approximation 35, 363-417, 2012 | 246 | 2012 |
| Optimal uncertainty quantification H Owhadi, C Scovel, TJ Sullivan, M McKerns, M Ortiz Siam Review 55 (2), 271-345, 2013 | 174 | 2013 |
| Learning from dependent observations I Steinwart, D Hush, C Scovel Journal of Multivariate Analysis 100 (1), 175-194, 2009 | 172 | 2009 |
| High order finite volume approximations of differential operators on nonuniform grids JM Hyman, RJ Knapp, JC Scovel Physica D: Nonlinear Phenomena 60 (1-4), 112-138, 1992 | 119 | 1992 |
| Fast rates for support vector machines I Steinwart, C Scovel International Conference on Computational Learning Theory, 279-294, 2005 | 113 | 2005 |
| QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines. D Hush, P Kelly, C Scovel, I Steinwart, B Schölkopf Journal of Machine Learning Research 7 (5), 2006 | 102 | 2006 |
| Polynomial-time decomposition algorithms for support vector machines D Hush, C Scovel Machine Learning 51, 51-71, 2003 | 102 | 2003 |
| Training SVMs Without Offset. I Steinwart, D Hush, C Scovel Journal of Machine Learning Research 12 (1), 2011 | 98 | 2011 |
| Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization: From a Game Theoretic Approach to Numerical Approximation and Algorithm Design H Owhadi, C Scovel Cambridge University Press, 2019 | 97 | 2019 |
| Equivariant constrained symplectic integration RI McLachlan, C Scovel Journal of Nonlinear Science 5, 233-256, 1995 | 97 | 1995 |
| Integrators for Lie-Poisson dynamical systems PJ Channell, JC Scovel Physica D: Nonlinear Phenomena 50 (1), 80-88, 1991 | 93 | 1991 |
| Elliptically contoured distributions for anomalous change detection in hyperspectral imagery J Theiler, C Scovel, B Wohlberg, BR Foy IEEE Geoscience and Remote Sensing Letters 7 (2), 271-275, 2009 | 83 | 2009 |
| On the brittleness of Bayesian inference H Owhadi, C Scovel, T Sullivan siam REVIEW 57 (4), 566-582, 2015 | 74 | 2015 |
| Symplectic numerical integration of Hamiltonian systems C Scovel The Geometry of Hamiltonian Systems: Proceedings of a Workshop Held June 5 …, 1991 | 69 | 1991 |
