Jos De Brabanter
According to our database1, Jos De Brabanter authored at least 18 papers between 2001 and 2014.
Legend:Book In proceedings Article PhD thesis Other
Distributed, Signal Strength-Based Indoor Localization Algorithm for Use in Healthcare Environments.
IEEE J. Biomedical and Health Informatics, 2014
Derivative estimation with local polynomial fitting.
Journal of Machine Learning Research, 2013
Model predictive control of a pilot-scale distillation column using a programmable automation controller.
Proceedings of the European Control Conference, 2013
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
Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression.
IEEE Trans. Neural Networks, 2011
Kernel Regression in the Presence of Correlated Errors.
Journal of Machine Learning Research, 2011
Optimized fixed-size kernel models for large data sets.
Computational Statistics & Data Analysis, 2010
Least conservative support and tolerance tubes.
IEEE Trans. Information Theory, 2009
Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.
Proceedings of the Artificial Neural Networks, 2009
Primal-Dual Monotone Kernel Regression.
Neural Processing Letters, 2005
Handling missing values in support vector machine classifiers.
Neural Networks, 2005
The differogram: Non-parametric noise variance estimation and its use for model selection.
Variogram based noise variance estimation and its use in kernel based regression.
Proceedings of the NNSP 2003, 2003
Weighted least squares support vector machines: robustness and sparse approximation.
Robust Cross-Validation Score Function for Non-linear Function Estimation.
Proceedings of the Artificial Neural Networks, 2002
Prediction of mental development of preterm newborns at birth time using LS-SVM.
Proceedings of the ESANN 2002, 2002
Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines.
Proceedings of the Artificial Neural Networks, 2001