Jos De Brabanter

According to our database¹, Jos De Brabanter authored at least 24 papers between 2001 and 2019.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2019

Using code generated by MATLAB for the Mold Level Control System of a Continuous Slab Caster in ArcelorMittal Gent.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2014

Distributed, Signal Strength-Based Indoor Localization Algorithm for Use in Healthcare Environments.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2014

2013

Derivative estimation with local polynomial fitting.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

Model predictive control of a pilot-scale distillation column using a programmable automation controller.

[BibT_eX]

[DOI]

Proceedings of the 12th European Control Conference, 2013

2012

Confidence bands for least squares support vector machine classifiers: A regression approach.

[BibT_eX]

[DOI]

Pattern Recognit., 2012

Robustness of kernel based regression: Influence and weight functions.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Kernel Regression in the Presence of Correlated Errors.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

2010

Optimized fixed-size kernel models for large data sets.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2010

2009

Least conservative support and tolerance tubes.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2009

Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Identification and control of a pilot scale binary distillation column.

[BibT_eX]

[DOI]

Proceedings of the 10th European Control Conference, 2009

2007

Support and Quantile Tubes

[BibT_eX]

[DOI]

CoRR, 2007

2006

Model order selection for quantification of a multi-exponential magnetic resonance spectrum.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Primal-Dual Monotone Kernel Regression.

[BibT_eX]

[DOI]

Neural Process. Lett., 2005

Handling missing values in support vector machine classifiers.

[BibT_eX]

[DOI]

Neural Networks, 2005

The differogram: Non-parametric noise variance estimation and its use for model selection.

[BibT_eX]

[DOI]

Neurocomputing, 2005

Componentwise Least Squares Support Vector Machines

[BibT_eX]

[DOI]

CoRR, 2005

2003

Variogram based noise variance estimation and its use in kernel based regression.

[BibT_eX]

[DOI]

Proceedings of the NNSP 2003, 2003

2002

Weighted least squares support vector machines: robustness and sparse approximation.

[BibT_eX]

[DOI]

Neurocomputing, 2002

Robust Cross-Validation Score Function for Non-linear Function Estimation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

Prediction of mental development of preterm newborns at birth time using LS-SVM.

[BibT_eX]

[DOI]

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

Least Squares Support Vector Machines

[BibT_eX]

[DOI]

World Scientific, ISBN: 978-981-4487-59-7, 2002

2001

Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

Jos De Brabanter

Timeline

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