Jos De Brabanter

According to our database1, Jos De Brabanter authored at least 17 papers between 2001 and 2014.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2014
Distributed, Signal Strength-Based Indoor Localization Algorithm for Use in Healthcare Environments.
IEEE J. Biomedical and Health Informatics, 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

2011
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

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

2009
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

2005
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.
Neurocomputing, 2005

2003
Variogram based noise variance estimation and its use in kernel based regression.
Proceedings of the NNSP 2003, 2003

2002
Weighted least squares support vector machines: robustness and sparse approximation.
Neurocomputing, 2002

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

2001
Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines.
Proceedings of the Artificial Neural Networks, 2001


  Loading...