Perfil del autor: García Gutiérrez, Jorge
Datos institucionales
| Nombre | García Gutiérrez, Jorge |
| Departamento | Lenguajes y Sistemas Informáticos |
| Área de conocimiento | Lenguajes y Sistemas Informáticos |
| Categoría profesional | Profesor Titular de Universidad |
| Correo electrónico | Solicitar |
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Estadísticas
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Nº publicaciones
49
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Nº visitas
4698
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Nº descargas
11576
| Publicaciones |
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Tesis Doctoral
 Deep learning for enhancing object detection in autonomous driving
(2022)
Autonomous driving is one of the most important technological challenges of this century. Its development will revolutionize ... |
Ponencia
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation
(Springer, 2022)
Most of the current data sources generate large amounts of data over time. Renewable energy generation is one example of ... |
Artículo
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
(ScienceDirect, 2021)
Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly ... |
Artículo
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data
(MDPI, 2021)
Object detection using remote sensing data is a key task of the perception systems of self-driving vehicles. While many ... |
Artículo
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
(Elsevier, 2021)
Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly ... |
Artículo
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
(Elsevier, 2020)
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the ... |
Artículo
Asynchronous dual-pipeline deep learning framework for online data stream classification
(IOS Press, 2020)
Data streaming classification has become an essential task in many fields where real-time decisions have to be made based ... |
Tesis Doctoral
 New internal and external validation indices for clustering in Big Data
(2019)
Esta tesis, presentada como un compendio de artículos de investigación, analiza el concepto de índices de validación de ... |
Artículo
On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule
(Elsevier, 2019)
This paper presents an evolutionary method for modifying the behaviour of the k-Nearest-Neighbour clas sifier (kNN) called ... |
Artículo
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks
(MDPI, 2019)
Analyzing land use and land cover (LULC) using remote sensing (RS) imagery is essential for many environmental and social ... |
Ponencia
RESDEC: Online Management Tool for Implementation Components Selection in Software Product Lines Using Recommender Systems
(ACM: Association for Computing Machinery, 2019)
Software product lines (SPL) management is one of the most im portant activities for the software engineer and it represents ... |
Artículo
Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to Wordpress
(IEEE Computer Society, 2019)
In software products line (SPL), there may be features which can be implemented by different components, which means there ... |
Artículo
External clustering validity index based on chi-squared statistical test
(Elsevier, 2019)
Clustering is one of the most commonly used techniques in data mining. Its main goal is to group objects into clusters so ... |
Artículo
An approach to validity indices for clustering techniques in Big Data
(Springer, 2018)
Clustering analysis is one of the most used Machine Learning techniques to discover groups among data objects. Some ... |
Ponencia
Aproximación al índice externo de validación de clustering basado en chi cuadrado
(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 ... |
Artículo
¿Cómo transformar información en ahorro para el consumidor doméstico? El caso del contador eléctrico inteligente en España
(Publicaciones Dyna, 2018)
El cliente doméstico era el gran olvidado del sistema eléctrico. A pesar de su peso en el consumo total, hasta hace pocos ... |
Artículo
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation
(Elsevier, 2017)
Breast cancer is the most common cause of cancer death in women. Today, post-transcriptional protein products of the genes ... |
Artículo
Impact of plot size and model selection on forest biomass estimation using airborne LiDAR: A case study of pine plantations in southern Spain
(Czech Academy of Agricultural Sciences (CAAS), 2017)
We explored the usefulness of LiDAR for modelling and mapping the stand biomass of two conifer species in southern Spain. ... |
Artículo
Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest
(Taylor and Francis OnLine, 2017)
This study aimed to develop ALS-based models for estimating stem, crown and aboveground biomass in three types of Mediterranean ... |
Artículo
Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data
(American Geophysical Union (AGU), 2017)
Quantifying biomass consumption and carbon release is critical to understanding the role of fires in the carbon cycle and ... |
Ponencia
A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation
(Springer, 2016)
Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information about forest structure. ... |
Artículo
Improving models for environmental applications of LiDAR: Novel approaches based on soft computing
(IOS Press, 2016)
This work proposes novel methodologies to improve the use of Light Detection And Ranging (LiDAR) for environ mental purposes, ... |
Artículo
A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation
(Taylor and Francis, 2016)
Machine learning combines inductive and automated techniques for recognizing patterns. These techniques can be used with ... |
Artículo
An evolutionary voting for k-nearest neighbours
(Elsevier, 2016)
This work presents an evolutionary approach to modify the voting system of the k-nearest neighbours (kNN) rule we called ... |
Ponencia
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark
(Springer, 2016)
K-Means and Bisecting K-Means clustering algorithms need the optimal number into which the dataset may be divided. Spark ... |
Artículo
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
(Elsevier, 2015)
Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information. Environmental models ... |
Artículo
An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion
(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
(Springer, 2014)
This work presents an evolutionary approach to modify the voting system of the k-Nearest Neighbours (kNN). The main novelty ... |
Artículo
Evolutionary feature selection to estimate forest stand variablesusing LiDAR
(Elsevier, 2014)
Light detection and ranging (LiDAR) has become an important tool in forestry. LiDAR-derived models are mostly developed ... |
Capítulo de Libro
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study
(Springer, 2014)
Light Detection and Ranging (LiDAR) is a remote sensor able to extract vertical information from sensed objects. ... |
Artículo
Modelling stand biomass fractions in Galician Eucalyptus globulus plantations by use of different LiDAR pulse densities
(INIA, 2013)
Aims of study: To evaluate the potential use of canopy height and intensity distributions, determined by airborne LiDAR, ... |
Tesis Doctoral
Intelligent techniques on LIDAR for environmental applications
(2012)
Esta propuesta de tesis está estrechamente relacionada con el campo de las técnicas inteligentes y el soft computing. A ... |
Artículo
EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion
(Elsevier, 2012)
Land use and land covers (LULC) maps are remote sensing products that are used to classify areas into different landscapes. ... |
Ponencia
Diez años innovando en la enseñanza de los fundamentos de la programación: resultados y conclusiones
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2012)
Este artículo presenta los cambios experimentados en las asignaturas relacionadas con la introducción a la programación, ... |
Ponencia
Metodología de evaluación continua en la asignatura de Fundamentos de Programación: un cambio de evaluación enfocado al desarrollo de competencias
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2012)
El marco del Espacio Europeo de Educación Supe rior (EEES) y la implantación del Sistema de Crédito Europeo (ECTS) han ... |
Capítulo de Libro
A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion
(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
(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
(Elsevier, 2012)
Different approaches of feature weighting and k-value selection to improve the nearest neighbour technique can be found ... |
Ponencia
Gene–Gene Interaction based Clustering method for Microarray Data
(IEEE Computer Society, 2011)
In this paper, we propose a greedy clustering algorithm to identify groups of related genes and a new measure to improve ... |
Capítulo de Libro
A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study
(Springer, 2011)
Airborne LiDAR (Light Detection and Ranging) has become an excellent tool for accurately assessing vegetation characteristics ... |
Artículo
Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques
(Elsevier, 2011)
Human impact on the natural environment is an evident global fact. Natural, industrial and touristic areas coexist in a ... |
Capítulo de Libro
Label Dependent Evolutionary Feature Weighting for Remote Sensing Data
(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
(2010)
Land use and land cover (LULC) maps are remote sensing products that are used to classify areas into different landscapes. ... |
Capítulo de Libro
Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps
(2010)
Remote sensing based on imagery has traditionally been the main tool used to extract land uses and land cover (LULC) maps. ... |
Ponencia
Decision Trees on LIDAR to Classify Land Uses and Covers
(International Society for Photogrammetry and Remote Sensing (ISPRS), 2009)
The area of Huelva, in the South of Spain, is a well-known case of human pressure on the natural environment. In Huelva, ... |
Ponencia
Remote mining: from clustering to DTM
(Bournemouth University, 2008)
LIDAR data acquisition is becoming an indispensable task for terrain characterization in large surfaces. In Mediterranean ... |
Ponencia
A Deterministic Model to Infer Gene Networks from Microarray Data
(Springer, 2007)
Microarray experiments help researches to construct the str ucture of gene regulatory networks, i.e., networks representing ... |
Ponencia
Biclusters Evaluation Based on Shifting and Scaling Patterns
(Springer, 2007)
Microarray techniques have motivated the develop of differ ent methods to extract useful information from a biological ... |
Ponencia
Feature selection based on bootstrapping
(IEEE Computer Society, 2005)
The results of feature selection methods have a great influence on the success of data mining processes, especially when ... |