| Support Vector Machines I Steinwart Springer, 2008 | 4434 | 2008 |
| Robust estimation of Cronbach's alpha A Christmann, S Van Aelst Journal of Multivariate Analysis 97 (7), 1660-1674, 2006 | 587 | 2006 |
| Estimating conditional quantiles with the help of the pinball loss I Steinwart, A Christmann | 274 | 2011 |
| 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 | 227 | 2002 |
| Consistency and robustness of kernel-based regression in convex risk minimization A Christmann, I Steinwart | 178 | 2007 |
| 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 | 154 | 2000 |
| 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 | 151 | 2004 |
| Universal kernels on non-standard input spaces A Christmann, I Steinwart Advances in neural information processing systems 23, 2010 | 139 | 2010 |
| Robustness against separation and outliers in logistic regression PJ Rousseeuw, A Christmann Computational Statistics & Data Analysis 43 (3), 315-332, 2003 | 135 | 2003 |
| Measuring overlap in binary regression A Christmann, PJ Rousseeuw Computational Statistics & Data Analysis 37 (1), 65-75, 2001 | 130 | 2001 |
| Fast learning from non-iid observations I Steinwart, A Christmann Advances in neural information processing systems 22, 2009 | 116 | 2009 |
| 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 | 113 | 2007 |
| How SVMs can estimate quantiles and the median A Christmann, I Steinwart Advances in neural information processing systems 20, 2007 | 101 | 2007 |
| Least median of weighted squares in logistic regression with large strata A Christmann Biometrika 81 (2), 413-417, 1994 | 75 | 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 | 66 | 2012 |
| 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 | 66 | 2008 |
| On qualitative robustness of support vector machines R Hable, A Christmann Journal of Multivariate Analysis 102 (6), 993-1007, 2011 | 58 | 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 | 57 | 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 | 55 | 2009 |
| Consistency of kernel‐based quantile regression A Christmann, I Steinwart Applied Stochastic Models in Business and Industry 24 (2), 171-183, 2008 | 44 | 2008 |
Ingo SteinwartUniversity of StuttgartEmail verificata su mathematik.uni-stuttgart.de
