Author profile: Mateos García, Daniel
Institutional data
| Name | Mateos García, Daniel |
| Department | Lenguajes y Sistemas Informáticos |
| Knowledge area | Lenguajes y Sistemas Informáticos |
| Professional category | Profesor Contratado Doctor |
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Statistics
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No. publications
15
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No. visits
1663
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No. downloads
4080
| Publications |
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Article
 On the evolutionary weighting of neighbours and features in the k-nearest neighbour ruleOn the evolutionary weighting of neighbours and features in the k-nearest neighbour rule
(Elsevier, 2019-01-01)
This paper presents an evolutionary method for modifying the behaviour of the k-Nearest-Neighbour clas sifier (kNN) called ... |
Presentation
A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass EstimationA Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation
(Springer, 2016-01-01)
Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information about forest structure. ... |
Article
An evolutionary voting for k-nearest neighboursAn evolutionary voting for k-nearest neighbours
(Elsevier, 2016-01-01)
This work presents an evolutionary approach to modify the voting system of the k-nearest neighbours (kNN) rule we called ... |
Article
An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusionAn evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion
(Elsevier, 2015-01-01)
Data classification is a critical step to convert remotely sensed data into thematic information. Environmental researchers have ... |
Chapter of Book
Improving the k-Nearest Neighbour Rule by an Evolutionary Voting ApproachImproving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach
(Springer, 2014-01-01)
This work presents an evolutionary approach to modify the voting system of the k-Nearest Neighbours (kNN). The main novelty ... |
PhD Thesis
Ponderación local evolutiva de la regla kNNPonderación local evolutiva de la regla kNN
(2013-01-01)
En la literatura, existen numerosas técnicas para mejorar el rendimiento de la regla de los k vecinos más cercanos (en ... |
Article
EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusionEVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion
(Elsevier, 2012-01-01)
Land use and land covers (LULC) maps are remote sensing products that are used to classify areas into different landscapes. ... |
Chapter of Book
A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data FusionA Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion
(Springer, 2012-01-01)
Light Detection and Ranging (LIDAR) has become a very important tool to many environmental applications. This work proposes to ... |
Article
On the evolutionary optimization of k-NN by label-dependent feature weightingOn the evolutionary optimization of k-NN by label-dependent feature weighting
(Elsevier, 2012-01-01)
Different approaches of feature weighting and k-value selection to improve the nearest neighbour technique can be found ... |
Presentation
Optimizing a Classification System for HEp-2 Cells by Evolutionary ComputationOptimizing a Classification System for HEp-2 Cells by Evolutionary Computation
(International Association for Pattern Recognition (IAPR), 2012-01-01)
In this work, we describe a classification system to automatically recognize the pattern of HEp-2 cells within IIF images. ... |
Chapter of Book
A Comparative Study between Two Regression Methods on LiDAR Data: A Case StudyA Comparative Study between Two Regression Methods on LiDAR Data: A Case Study
(Springer, 2011-01-01)
Airborne LiDAR (Light Detection and Ranging) has become an excellent tool for accurately assessing vegetation characteristics ... |
Chapter of Book
Label Dependent Evolutionary Feature Weighting for Remote Sensing DataLabel Dependent Evolutionary Feature Weighting for Remote Sensing Data
(2010-01-01)
Nearest neighbour (NN) is a very common classifier used to develop important remote sensing products like land use and ... |
Chapter of Book
A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover ClassificationA SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification
(2010-01-01)
Land use and land cover (LULC) maps are remote sensing products that are used to classify areas into different landscapes. ... |
Chapter of Book
Evolutionary segmentation of yeast genomeEvolutionary segmentation of yeast genome
(2004-01-01)
Segmentation algorithms differ from clustering algorithms with regard to how to deal with the physical location of genes ... |
Chapter of Book
Statistical Test-Based Evolutionary Segmentation of Yeast GenomeStatistical Test-Based Evolutionary Segmentation of Yeast Genome
(2004-01-01)
Segmentation algorithms emerge observing fluctuations of DNA sequences in alternative homogeneous domains, which are named ... |