2016
Implications of Higher Education on Earnings: An Empirical Analysis of Skills and Competence.
Int. J. Adult Vocat. Educ. Technol., 2016

2011
On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions.
Neural Process. Lett., 2011

2010
A boundary corrected expansion of the moments of nearest neighbor distributions.
Random Struct. Algorithms, 2010

Residual variance estimation using a nearest neighbor statistic.
J. Multivar. Anal., 2010

2009
Residual variance estimation in machine learning.
Neurocomputing, 2009

A SOM-based approach to estimating product properties from spectroscopic measurements.
Neurocomputing, 2009

2008
On Nonparametric Residual Variance Estimation.
Neural Process. Lett., 2008

Using the Delta Test for Variable Selection.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
Non-parametric Residual Variance Estimation in Supervised Learning.
Proceedings of the Computational and Ambient Intelligence, 2007

Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions.
Proceedings of the International Joint Conference on Neural Networks, 2007

Nearest Neighbor Distributions and Noise Variance Estimation.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Long-Term Prediction of Time Series Using State-Space Models.
Proceedings of the Artificial Neural Networks, 2006

EM-algorithm for training of state-space models with application to time series prediction.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006