Kris De Brabanter

According to our database1, Kris De Brabanter authored at least 14 papers between 2009 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Derivative Estimation in Random Design.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016
Wavelet Filter Design for Pavement Roughness Analysis.
Comp.-Aided Civil and Infrastruct. Engineering, 2016

2014
Predicting breast cancer using an expression values weighted clinical classifier.
BMC Bioinformatics, 2014

New Bandwidth Selection Criterion for Kernel PCA: Approach to Dimensionality Reduction and Classification Problems.
BMC Bioinformatics, 2014

2013
Derivative estimation with local polynomial fitting.
Journal of Machine Learning Research, 2013

2012
Confidence bands for least squares support vector machine classifiers: A regression approach.
Pattern Recognition, 2012

Robustness of kernel based regression: Influence and weight functions.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Deconvolution in nonparametric statistics.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression.
IEEE Trans. Neural Networks, 2011

Sparse conjugate directions pursuit with application to fixed-size kernel models.
Machine Learning, 2011

Kernel Regression in the Presence of Correlated Errors.
Journal of Machine Learning Research, 2011

Sparse LS-SVMs with L0 - norm minimization.
Proceedings of the ESANN 2011, 2011

2010
Optimized fixed-size kernel models for large data sets.
Computational Statistics & Data Analysis, 2010

2009
Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.
Proceedings of the Artificial Neural Networks, 2009


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