| Support vector machines I Steinwart, A Christmann Springer Science & Business Media, 2008 | 3047 | 2008 |
| Robust estimation of Cronbach's alpha A Christmann, S Van Aelst Journal of Multivariate Analysis 97 (7), 1660-1674, 2006 | 285 | 2006 |
| Cerebral ischemia detected with diffusion-weighted MR imaging after stent implantation in the carotid artery HJ Jaeger, KD Mathias, E Hauth, R Drescher, HM Gissler, S Hennigs, ... American Journal of Neuroradiology 23 (2), 200-207, 2002 | 204 | 2002 |
| Estimating conditional quantiles with the help of the pinball loss I Steinwart, A Christmann Bernoulli 17 (1), 211-225, 2011 | 157 | 2011 |
| Digital radiography versus conventional radiography in chest imaging: diagnostic performance of a large-area silicon flat-panel detector in a clinical CT-controlled study M Garmer, SP Hennigs, HJ Jager, F Schrick, T van de Loo, A Jacobs, ... American journal of roentgenology 174 (1), 75-80, 2000 | 147 | 2000 |
| Consistency and robustness of kernel-based regression in convex risk minimization A Christmann, I Steinwart Bernoulli 13 (3), 799-819, 2007 | 143 | 2007 |
| Measuring overlap in binary regression A Christmann, PJ Rousseeuw Computational Statistics & Data Analysis 37 (1), 65-75, 2001 | 127 | 2001 |
| On robustness properties of convex risk minimization methods for pattern recognition A Christmann, I Steinwart The Journal of Machine Learning Research 5, 1007-1034, 2004 | 125 | 2004 |
| Robustness against separation and outliers in logistic regression PJ Rousseeuw, A Christmann Computational Statistics & Data Analysis 43 (3), 315-332, 2003 | 123 | 2003 |
| A robust estimator for the tail index of Pareto-type distributions B Vandewalle, J Beirlant, A Christmann, M Hubert Computational Statistics & Data Analysis 51 (12), 6252-6268, 2007 | 98 | 2007 |
| Universal kernels on non-standard input spaces A Christmann, I Steinwart Advances in neural information processing systems, 406-414, 2010 | 91 | 2010 |
| Fast learning from non-iid observations I Steinwart, A Christmann Advances in neural information processing systems 22, 1768-1776, 2009 | 90 | 2009 |
| Support vector machines A Christmann, I Steinwart Systems and Virtualization Management. Standards and New Technologies, 2008 | 89 | 2008 |
| How SVMs can estimate quantiles and the median A Christmann, I Steinwart Advances in neural information processing systems 20, 305-312, 2007 | 87 | 2007 |
| Bouligand derivatives and robustness of support vector machines for regression A Christmann, A Van Messem Journal of Machine Learning Research 9 (May), 915-936, 2008 | 64 | 2008 |
| Least median of weighted squares in logistic regression with large strata A Christmann Biometrika 81 (2), 413-417, 1994 | 62 | 1994 |
| Consistency of support vector machines using additive kernels for additive models A Christmann, R Hable Computational Statistics & Data Analysis 56 (4), 854-873, 2012 | 55 | 2012 |
| On qualitative robustness of support vector machines R Hable, A Christmann Journal of Multivariate Analysis 102 (6), 993-1007, 2011 | 49 | 2011 |
| A physiologic in vitro model of the inferior vena cava with a computer-controlled flow system for testing of inferior vena cava filters HJ Jäger, T Mair, M Geller, RK Kinne, A Christmann, KD Mathias Investigative radiology 32 (9), 511-522, 1997 | 48 | 1997 |
| On consistency and robustness properties of support vector machines for heavy-tailed distributions A Christmann, I Steinwart, A van Messem Statistics and Its Interface 2 (3), 311-327, 2009 | 46 | 2009 |
Ingo SteinwartUniversity of StuttgartDirección de correo verificada de mathematik.uni-stuttgart.de
