Daniel Mateos-García

Neurocomputing, 2019

2016

An evolutionary voting for k-nearest neighbours.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2016

A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation.

[BibT_eX]

[DOI]

Eduardo González-Ferreiro

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2015

An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion.

[BibT_eX]

[DOI]

Mariano García

Neurocomputing, 2015

2014

Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

2012

On the evolutionary optimization of k-NN by label-dependent feature weighting.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2012

EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion.

[BibT_eX]

[DOI]

Neurocomputing, 2012

A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011

A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study.

[BibT_eX]

[DOI]

Eduardo González-Ferreiro

David Miranda

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010

Label Dependent Evolutionary Feature Weighting for Remote Sensing Data.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification.

[BibT_eX]

[DOI]