idUS - Perfil del autor: Mateos García, Daniel

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Nombre	Mateos García, Daniel
Departamento	Lenguajes y Sistemas Informáticos
Área de conocimiento	Lenguajes y Sistemas Informáticos
Categoría profesional	Profesor Contratado Doctor
Correo electrónico	Solicitar

Nº publicaciones

15
Nº visitas

1867
Nº descargas

4649

Tipología

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Publicaciones
Artículo On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule Mateos García, Daniel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2019) This paper presents an evolutionary method for modifying the behaviour of the k-Nearest-Neighbour clas sifier (kNN) called ...
Ponencia A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation García Gutiérrez, Jorge; González Ferreiro, Eduardo; Mateos García, Daniel; Riquelme Santos, José Cristóbal (Springer, 2016) Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information about forest structure. ...
Artículo An evolutionary voting for k-nearest neighbours Mateos García, Daniel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2016) This work presents an evolutionary approach to modify the voting system of the k-nearest neighbours (kNN) rule we called ...
Artículo An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion García Gutiérrez, Jorge; Mateos García, Daniel; García, Mariano; Riquelme Santos, José Cristóbal (Elsevier, 2015) Data classification is a critical step to convert remotely sensed data into thematic information. Environmental researchers have ...
Capítulo de Libro Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach García Gutiérrez, Jorge; Mateos García, Daniel; Riquelme Santos, José Cristóbal (Springer, 2014) This work presents an evolutionary approach to modify the voting system of the k-Nearest Neighbours (kNN). The main novelty ...
Tesis Doctoral Ponderación local evolutiva de la regla kNN Mateos García, Daniel; Riquelme Santos, José Cristóbal (2013) En la literatura, existen numerosas técnicas para mejorar el rendimiento de la regla de los k vecinos más cercanos (en ...
Artículo EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion García Gutiérrez, Jorge; Mateos García, Daniel; Riquelme Santos, José Cristóbal (Elsevier, 2012) Land use and land covers (LULC) maps are remote sensing products that are used to classify areas into different landscapes. ...
Capítulo de Libro A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion García Gutiérrez, Jorge; Mateos García, Daniel; Riquelme Santos, José Cristóbal (Springer, 2012) Light Detection and Ranging (LIDAR) has become a very important tool to many environmental applications. This work proposes to ...
Ponencia Optimizing a Classification System for HEp-2 Cells by Evolutionary Computation Mateos García, Daniel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (International Association for Pattern Recognition (IAPR), 2012) In this work, we describe a classification system to automatically recognize the pattern of HEp-2 cells within IIF images. ...
Artículo On the evolutionary optimization of k-NN by label-dependent feature weighting Mateos García, Daniel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2012) Different approaches of feature weighting and k-value selection to improve the nearest neighbour technique can be found ...
Capítulo de Libro A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study García Gutiérrez, Jorge; González Ferreiro, Eduardo; Mateos García, Daniel; Riquelme Santos, José Cristóbal; Miranda, David (Springer, 2011) Airborne LiDAR (Light Detection and Ranging) has become an excellent tool for accurately assessing vegetation characteristics ...
Capítulo de Libro Label Dependent Evolutionary Feature Weighting for Remote Sensing Data Mateos García, Daniel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (2010) Nearest neighbour (NN) is a very common classifier used to develop important remote sensing products like land use and ...
Capítulo de Libro A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification García Gutiérrez, Jorge; Mateos García, Daniel; Riquelme Santos, José Cristóbal (2010) Land use and land cover (LULC) maps are remote sensing products that are used to classify areas into different landscapes. ...
Capítulo de Libro Statistical Test-Based Evolutionary Segmentation of Yeast Genome Aguilar Ruiz, Jesús Salvador; Mateos García, Daniel; Giráldez Rojo, Raúl; Riquelme Santos, José Cristóbal (2004) Segmentation algorithms emerge observing fluctuations of DNA sequences in alternative homogeneous domains, which are named ...
Capítulo de Libro Evolutionary segmentation of yeast genome Mateos García, Daniel; Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador (2004) Segmentation algorithms differ from clustering algorithms with regard to how to deal with the physical location of genes ...