Kris De Brabanter

	2012
7		Kris De Brabanter, Peter Karsmakers, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Confidence bands for least squares support vector machine classifiers: A regression approach. Pattern Recognition 45(6): 2280-2287 (2012)
	2011
6		Jorge López Lázaro, Kris De Brabanter, José R. Dorronsoro, Johan A. K. Suykens: Sparse LS-SVMs with L0 - norm minimization. ESANN 2011
5		Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression. IEEE Transactions on Neural Networks 22(1): 110-120 (2011)
4		Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Kernel Regression in the Presence of Correlated Errors. Journal of Machine Learning Research 12: 1955-1976 (2011)
3		Peter Karsmakers, Kristiaan Pelckmans, Kris De Brabanter, Hugo Van hamme, Johan A. K. Suykens: Sparse conjugate directions pursuit with application to fixed-size kernel models. Machine Learning 85(1-2): 109-148 (2011)
	2010
2		Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Optimized fixed-size kernel models for large data sets. Computational Statistics & Data Analysis 54(6): 1484-1504 (2010)
	2009
1		Kris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert, Bart De Moor: Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes. ICANN (1) 2009: 100-110

Coauthor Index

1	Jos De Brabanter	[1] [2] [4] [5] [7]
2	Michiel Debruyne	[1]
3	José R. Dorronsoro	[6]
4	Mia Hubert	[1]
5	Peter Karsmakers	[3] [7]
6	Jorge López Lázaro	[6]
7	Bart De Moor	[1] [2] [4] [5] [7]
8	Kristiaan Pelckmans	[1] [3]
9	Johan A. K. Suykens	[1] [2] [3] [4] [5] [6] [7]
10	Hugo Van hamme (Hugo Van Hamme)	[3]

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