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Listar por autor "García Gutiérrez, Jorge"
Mostrando ítems 1-20 de 49
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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 ...
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Capítulo de Libro
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study
García Gutiérrez, Jorge; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (Springer, 2014)Light Detection and Ranging (LiDAR) is a remote sensor able to extract vertical information from sensed objects. ...
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Artículo
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
García Gutiérrez, Jorge; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (Elsevier, 2015)Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information. Environmental models ...
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Artículo
A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation
López Serrano, Pablito M.; López Sánchez, Carlos A.; Álvarez González, Juan G.; García Gutiérrez, Jorge (Taylor and Francis, 2016)Machine learning combines inductive and automated techniques for recognizing patterns. These techniques can be used with ...
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Ponencia
A Deterministic Model to Infer Gene Networks from Microarray Data
Nepomuceno Chamorro, Isabel de los Ángeles; Aguilar Ruiz, Jesús Salvador; Díaz Díaz, Norberto; Rodríguez Baena, Domingo S.; García Gutiérrez, Jorge (Springer, 2007)Microarray experiments help researches to construct the str ucture of gene regulatory networks, i.e., networks representing ...
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Artículo
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks
Carranza García, Manuel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (MDPI, 2019)Analyzing land use and land cover (LULC) using remote sensing (RS) imagery is essential for many environmental and social ...
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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 ...
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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. ...
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Artículo
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation
Macías García, Laura; Luna Romera, José María; García Gutiérrez, Jorge; Martínez Ballesteros, María del Mar; Riquelme Santos, José Cristóbal; González Cámpora, Ricardo (Elsevier, 2017)Breast cancer is the most common cause of cancer death in women. Today, post-transcriptional protein products of the genes ...
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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. ...
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Ponencia
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark
Luna Romera, José María; Martínez Ballesteros, María del Mar; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Springer, 2016)K-Means and Bisecting K-Means clustering algorithms need the optimal number into which the dataset may be divided. Spark ...
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Artículo
An approach to validity indices for clustering techniques in Big Data
Luna Romera, José María; García Gutiérrez, Jorge; Martínez Ballesteros, María del Mar; Riquelme Santos, José Cristóbal (Springer, 2018)Clustering analysis is one of the most used Machine Learning techniques to discover groups among data objects. Some ...
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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 ...
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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 ...
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Ponencia
Aproximación al índice externo de validación de clustering basado en chi cuadrado
Luna Romera, José María; García Gutiérrez, Jorge; Martínez Ballesteros, María del Mar; Riquelme Santos, José Cristóbal (Asociación Española para la Inteligencia Artificial (AEPIA), 2018)El clustering es una de las técnicas más utilizadas en minería de datos. Tiene como objetivo principal agrupar datos en ...
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Artículo
Asynchronous dual-pipeline deep learning framework for online data stream classification
Lara Benítez, Pedro; Carranza García, Manuel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (IOS Press, 2020)Data streaming classification has become an essential task in many fields where real-time decisions have to be made based ...
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Artículo
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
Macías García, Laura; Martínez Ballesteros, María del Mar; Luna Romera, José María; García Heredia, José Manuel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2020)Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the ...
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Artículo
Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques
García Gutiérrez, Jorge; Gonçalves Seco, Luis; Riquelme Santos, José Cristóbal (Elsevier, 2011)Human impact on the natural environment is an evident global fact. Natural, industrial and touristic areas coexist in a ...
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Ponencia
Biclusters Evaluation Based on Shifting and Scaling Patterns
Nepomuceno Chamorro, Juan Antonio; Troncoso Lora, Alicia; Aguilar Ruiz, Jesús Salvador; García Gutiérrez, Jorge (Springer, 2007)Microarray techniques have motivated the develop of differ ent methods to extract useful information from a biological ...
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Artículo
Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest
Guerra Hernández, Juan; Bastos Görgens, Eric; García Gutiérrez, Jorge; Estraviz Rodriguez, Luiz Carlos; Tomé, Margarida; González Ferreiro, Eduardo (Taylor and Francis OnLine, 2017)This study aimed to develop ALS-based models for estimating stem, crown and aboveground biomass in three types of ...