Author profile: Riquelme Santos, José Cristóbal
Institutional data
Name | Riquelme Santos, José Cristóbal |
Department | Lenguajes y Sistemas Informáticos |
Knowledge area | Lenguajes y Sistemas Informáticos |
Professional category | Catedrático de Universidad |
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Statistics
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No. publications
224
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No. visits
55773
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No. downloads
74071
Publications |
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Article
An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market
(Elsevier, 2024)
CO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of ... |
Presentation
A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma
(SpringerLink, 2023)
Sarcomas are rare mesodermal tumors of heterogeneous nature and have a higher incidence in children. The relative 5-year ... |
Article
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study
(Springer, 2023)
Sepsis is a life-threatening condition whose early recognition is key to improving outcomes for patients in intensive care ... |
Article
Short-term solar irradiance forecasting in streaming with deep learning
(Elsevier, 2023)
Solar energy is one of the most common and promising sources of renewable energy. In photovoltaic (PV) systems, operators ... |
PhD Thesis
Predicción de series temporales en streaming mediante Deep Learning
(2022)
Esta tesis, presentada como un compendio de artículos de investigación, aborda la predicción de series temporales en un ... |
PhD Thesis
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 ... |
Presentation
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 ... |
Article
Object detection using depth completion and camera-LiDAR fusion for autonomous driving
(IOS Press, 2022)
Autonomous vehicles are equipped with complimentary sensors to perceive the environment accurately. Deep learning models ... |
Article
MOMIC: A multi-omics pipeline for data analysis, integration and interpretation
(MDPI, 2022)
Background and Objectives: The burst of high-throughput omics technologies has given rise to a new era in systems biology, ... |
Article
Data streams classification using deep learning under different speeds and drifts
(Oxford University Press, 2022)
Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. ... |
Article
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 ... |
Article
An Experimental Review on Deep Learning Architectures for Time Series Forecasting
(World Scientific, 2021)
In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural ... |
Article
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 ... |
Article
Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images
(MDPI, 2021)
The morphology of nanoparticles governs their properties for a range of important applica tions. Thus, the ability to ... |
Article
A data mining based clinical decision support system for survival in lung cancer
(Via Médica Journals, 2021)
Background: A clinical decision support system (CDSS) has been designed to predict the outcome (overall survival) by ... |
Article
OCEAn: Ordinal classification with an ensemble approach
(Elsevier, 2021)
Generally, classification problems catalog instances according to their target variable with out considering the relation ... |
Article
Filter‑based feature selection in the context of evolutionary neural networks in supervised machine learning
(Springer, 2020)
This paper presents a workbench to get simple neural classifcation models based on product evolutionary networks via a ... |
Article
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 ... |
Article
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 ... |
Article
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
(Mary Ann Liebert, 2020)
This study proposes a novel bioinspired metaheuristic simulating how the coronavirus spreads and infects healthy people. ... |
Presentation
A preliminary study on deep transfer learning applied to image classification for small datasets
(Springer, 2020)
A new transfer learning strategy is proposed for image classification in this work, based on an 8-layer convolutional ... |
Presentation
On the performance of deep learning models for time series classification in streaming
(Springer, 2020)
Processing data streams arriving at high speed requires the development of models that can provide fast and accurate ... |
Article
Temporal convolutional networks applied to energy-related time series forecasting
(MDPI, 2020)
Modern energy systems collect high volumes of data that can provide valuable information about energy consumption. Electric ... |
Article
Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems
(ScienceDirect, 2019)
This paper explores widely the data preparation stage within the process of knowledge discovery and data mining via feature ... |
Article
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 ... |
Article
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 ... |
Article
A novel ensemble method for electric vehicle power consumption forecasting: Application to the Spanish system
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
The use of electric vehicle across the world has become one of the most challenging issues for environmental policies. The ... |
Article
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 ... |
Presentation
Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering
(Springer, 2019)
Clustering analysis is one of the most commonly used techniques for uncovering patterns in data mining. Most clustering ... |
Article
Analysis of the evolution of the Spanish labour market through unsupervised learning
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Unemployment in Spain is one of the biggest concerns of its inhabitants. Its unemployment rate is the second highest in ... |
Presentation
Creation of Synthetic Data with Conditional Generative Adversarial Networks
(Springer, 2019)
The generation of synthetic data is becoming a fundamental task in the daily life of any organization due to new protection ... |
Article
Data Science and Big Data in Energy Forecasting
(MDPI, 2018)
This editorial summarizes the performance of the special issue entitled Data Science and Big Data in Energy Forecasting, ... |
Presentation
Análisis Big Data para la Respuesta a la Demanda en el Mercado Eléctrico
(Asociación Española para la Inteligencia Artificial (AEPIA), 2018)
El modelo de negocio tradicional de las compañías energéticas está cambiando los últimos años. La introducción de los ... |
Article
Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities
(MDPI, 2018)
New technologies such as sensor networks have been incorporated into the management of buildings for organizations and ... |
Article
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems
(Elsevier, 2018)
Many algorithms have emerged to address the discovery of quantitative association rules from datasets in the last years. ... |
Presentation
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses
(Springer, 2018)
The continuous evaluation allows for the assessment of the progressive assimilation of concepts and the competences that ... |
Article
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 ... |
Article |
Presentation
SmartFD: A Real Big Data Application for Electrical Fraud Detection
(Springer, 2018)
The main objective of this paper is the application of big data analytics to a real case in the field of smart electric ... |
Presentation
Competición vídeo: ¿cómo puedo saber si el resultado de un clustering es lo suficientemente bueno?
(Asociación Española para la Inteligencia Artificial (AEPIA), 2018)
En este vídeo divulgativo se hace una introducción a una de las técnicas de análisis de datos más usada, el clustering. En ... |
Presentation
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 ... |
Article
¿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 ... |
Presentation
Low Dimensionality or Same Subsets as a Result of Feature Selection: An In-Depth Roadma
(Springer, 2017)
This paper addresses the situation that may happen after the application of feature subset selection in terms of a reduced ... |
Article
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 ... |
Article
Applications of Computational Intelligence in Time Series
(Hindawi, 2017)
|
Article
Machine learning techniques to discover genes with potential prognosis role in Alzheimer’s disease using different biological sources
(Elsevier, 2017)
Alzheimer’s disease is a complex progressive neurodegenerative brain disorder, being its prevalence ex pected to rise over ... |
Presentation
Predicción de módulos defectuosos como un problema de optimización multiobjetivo
(Asociación de Ingeniería del Software y Tecnologías de Desarrollo de Software (SISTEDES), 2017)
La dificultad de aplicar técnicas de análisis de datos al problema de la calidad del software radica principalmente en dos ... |
Article
Recent Advances in Energy Time Series Forecasting
(MDPI, 2017)
This editorial summarizes the performance of the special issue entitled Energy Time Series Forecasting, which was published ... |
Article
Obtaining optimal quality measures for quantitative association rules
(Elsevier, 2016)
There exist several works in the literature in which fitness functions based on a combination of weighted measures for the ... |
Presentation
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. ... |
Article
Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks
(Taylor and Francis, 2016)
This paper presents a quality enhancement of the selected features by a hybrid filter-based jointly on feature ranking and ... |
Presentation
Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection
(Springer, 2016)
A framework that combines feature selection with evolution ary artificial neural networks is presented. This paper copes ... |
Article
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 ... |
Presentation
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 ... |
Presentation
MOPNAR-BigData: un diseño MapReduce para la extracción de reglas de asociación cuantitativas en problemas de big data
(Asociación Española de Inteligencia Artificial, 2015)
El término big data se ha extendido rápidamente en el área de la minera de datos debido a que las grandes cantidades de ... |
Chapter of Book
Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach
(Springer, 2015)
This paper presents a novel procedure to apply in a sequential way two data preparation techniques from a different nature ... |
Article
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets
(iOS Press, 2015)
Association rule mining is a well-known methodology to discover significant and apparently hidden relations among attributes ... |
Article
A multi-scale smoothing kernel for measuring time-series similarity
(Elsevier, 2015)
In this paper a kernel for time-series data is introduced so that it can be used for any data mining task that relies on ... |
Presentation
Inferencia de Redes de Asociación de Genes Guiada por Similitud Semántica
(Asociación Española para la Inteligencia Artificial, 2015)
En este trabajo se propone el uso de conocimiento a priori como heurística en métodos de inferencia de redes de genes a ... |
Article
Local models-based regression trees for very short-term wind speed prediction
(Elsevier, 2015)
This paper evaluates the performance of different types of Regression Trees (RTs) in a real problem of very short-term ... |
Article
A Survey on Data Mining Techniques Applied to Energy Time Series Forecasting
(MDPI, 2015)
Data mining has become an essential tool during the last decade to analyze large sets of data. The variety of techniques ... |
Article
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 ... |
Article
Improving a multi-objective evolutionary algorithm to discover quantitative association rules
(Springer, 2015)
This work aims at correcting flaws existing in multi-objective evolutionary schemes to discover quantitative association ... |
Article
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 ... |
Article
Selecting the best measures to discover quantitative association rules
(Elsevier, 2014)
The majority of the existing techniques to mine association rules typically use the support and the confidence to evaluate ... |
Chapter of Book
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 ... |
Article
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 ... |
Presentation
Deleting or Keeping Outliers for Classifier Training?
(IEEE, 2014)
This paper introduces two statistical outlier detection approaches by classes. Experiments on binary and multi-class ... |
Article
Discovering gene association networks by multi-objective evolutionary quantitative association rules
(Elsevier, 2014)
In the last decade, the interest in microarray technology has exponentially increased due to its ability to monitor the ... |
Chapter of Book
Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures
(Springer, 2014)
This paper introduces the use of an ant colony optimization (ACO) algorithm, called Ant System, as a search method in two ... |
Chapter of Book
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. ... |
Presentation |
Article
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data
(Elsevier, 2014)
Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering techniques ... |
Chapter of Book
Data Mining Methods Applied to a Digital Forensics Task for Supervised Machine Learning
(2014)
Digital forensics research includes several stages. Once we have collected the data the last goal is to obtain a model in ... |
Presentation
Preliminary Comparison of Techniques for Dealing with Imbalance in Software Defect Prediction
(ACM, 2014)
Imbalanced data is a common problem in data mining when dealing with classi cation problems, where samples of a class vastly ... |
Article
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems
(Elsevier, 2013)
This paper combines feature selection methods with a two-stage evolutionary classifier based on product unit neural networks. ... |
PhD Thesis
Ponderación local evolutiva de la regla kNN
(2013)
En la literatura, existen numerosas técnicas para mejorar el rendimiento de la regla de los k vecinos más cercanos (en ... |
PhD Thesis |
Chapter of Book
A Kernel for Time Series Classification: Application to Atmospheric Pollutants
(Springer, 2013)
In this paper a kernel for time-series data is presented. The main idea of the kernel is that it is designed to recognize ... |
Article
A study of subgroup discovery approaches for defect prediction
(Elsevier, 2013)
Context: Although many papers have been published on software defect prediction techniques, machine learning approaches ... |
Chapter of Book
A Sensitivity Analysis for Quality Measures of Quantitative Association Rules
(Springer, 2013)
There exist several fitness function proposals based on a combination of weighted objectives to optimize the discovery of ... |
PhD Thesis
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 ... |
Article
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. ... |
Article
Searching for rules to detect defective modules: A subgroup discovery approach
(Elsevier, 2012)
Data mining methods in software engineering are becoming increasingly important as they can support several aspects of the ... |
Presentation
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, ... |
Chapter of Book
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 ... |
Article
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection
(Elsevier, 2012)
Radial Basis Function Neural Networks (RBFNNs) have been successfully employed in several function approximation and pattern ... |
Presentation
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. ... |
Article
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 ... |
Presentation
STATService: Herramienta de análisis estadístico como soporte para la investigación con Metaheurísticas
(2012)
Actualmente, la aplicación de técnicas estadísticas es una necesidad cuando se trabaja con metaheurísticas. A pesar de que ... |
Article
Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches
(Elsevier, 2012)
We address the feature subset selection problem for classification tasks. We examine the performance of two hybrid strategies ... |
Presentation
Optimización multiobjetivo de la toma de decisiones en gestión de proyectos software basada en simulación
(Universidad da Coruña, 2011)
La simulación se ha utilizado con frecuencia en los últimos años como herramienta de ayuda a la optimización de la toma ... |
Presentation
Descubrimiento de Subgrupos para predecir módulos defectuosos
(Servizo de Publicacións da Universidade da Coruña, 2011)
La aplicación de métodos de Minería de Datos a la Ingeniería del Software tiene una importancia creciente en distintos ... |
Presentation
Subgroup Discovery for Defect Prediction
(Springer, 2011)
|
Chapter of Book
Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection
(Springer, 2011)
This paper introduces a methodology that improves the accuracy of a two-stage algorithm in evolutionary product unit neural ... |
Presentation
On the use of algorithms to discover motifs in DNA sequences
(IEEE, 2011)
Many approaches are currently devoted to find DNA motifs in nucleotide sequences. However, this task remains challenging ... |
Article
Evolutionary association rules for total ozone content modeling from satellite observations
(Elsevier, 2011)
In this paper we propose an evolutionary method of association rules discovery (EQAR, Evolutionary Quan titative Association ... |
Chapter of Book
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 ... |
Chapter of Book
Inferring Gene-Gene Associations from Quantitative Association Rules
(IEEE, 2011)
The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The ... |
Article
Energy Time Series Forecasting Based on Pattern Sequence Similarity
(IEEE, 2011)
This paper presents a new approach to forecast the behavior of time series based on similarity of pattern sequences. ... |
Presentation
Mining Quantitative Association Rules in Microarray Data Using Evolutive Algorithms
(SciTePress, 2011)
The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The ... |
Presentation
Triclustering on TemporaryMicroarray Data using the TriGen Algorithm
(IEEE, 2011)
The analysis of microarray data is a computational challenge due to the characteristics of these data. Clustering techniques ... |
Article
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 ... |
Presentation
Multiobjective Simulation Optimisation in Software Project Management
(ACM, 2011)
Traditionally, simulation has been used by project managers in optimising decision making. However, current simulation packages ... |
Chapter of Book
Analysis of Measures of Quantitative Association Rules
(Springer, 2011)
This paper presents the analysis of relationships among different interestingness measures of quality of association rules ... |
Article
An evolutionary algorithm to discover quantitative association rules in multidimensional time series
(Springer, 2011)
An evolutionary approach for finding existing relationships among several variables of a multidimensional time series is ... |
Article
Discovery of motifs to forecast outlier occurrence in time series
(Elsevier, 2011)
The forecasting process of real-world time series has to deal with especially unexpected values, commonly known as outliers. ... |
PhD Thesis |
Chapter of Book
Revisiting the Yeast Cell Cycle Problem with the Improved TriGen Algorithm
(IEEE, 2011)
Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering ... |
Chapter of Book
Computational Intelligence Techniques for Predicting Earthquakes
(Springer, 2011)
Nowadays, much effort is being devoted to develop techniques that forecast natural disasters in order to take ... |
Chapter of Book
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm
(Springer, 2011)
Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering ... |
Presentation
Knowledge representation and applied decision making (KREAM)
(ScienceDirect, 2010)
The aim of this workshop is to provide a forum for discussion and debate on the application of knowledge representation ... |
Chapter of Book
Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection
(2010)
This paper proposes a Radial Basis Function Neural Network (RBFNN) which reproduces different Radial Basis Functions (RBFs) ... |
Chapter of Book
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 ... |
Chapter of Book
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. ... |
Article
Inferring gene regression networks with model trees
(BioMed Central, 2010)
Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. ... |
Article
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution
(IOS Press, 2010)
This research presents the mining of quantitative association rules based on evolutionary computation techniques. First, ... |
Chapter of Book
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. ... |
Article
Finding Defective Software Modules by Means of Data Mining Techniques
(IEEE, 2009)
The characterization of defective modules in software engineering remains a challenge. In this work, we use data mining ... |
Presentation
Searching for Rules to find Defective Modules in Unbalanced Data Sets
(IEEE Xplore, 2009)
The characterisation of defective modules in software engineering remains a challenge. In this work, we use data mining ... |
Chapter of Book
Quantitative Association Rules Applied to Climatological Time Series Forecasting
(2009)
This work presents the discovering of association rules based on evolutionary techniques in order to obtain relationships ... |
Presentation
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, ... |
Chapter of Book
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
(2009)
This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes ... |
Presentation
SMOTE-I: mejora del algoritmo SMOTE para balanceo de clases minoritarias
(Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software (SISTEDES), 2009)
Las técnicas de minería de datos están encaminadas a desarrollar algoritmos que sean capaces de tratar y analizar datos ... |
Presentation
Descubriendo Reglas de Asociación Numéricas entre Series Temporales
(Universidad de Sevilla, 2009)
Este trabajo presenta el descubrimiento de reglas de asociación basadas en técnicas evolutivas para obtener relaciones ... |
Presentation
Finding Defective Modules from Highly Unbalanced Datasets
(Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software (SISTEDES), 2008)
Many software engineering datasets are highly unbalanced, i.e., the number of instances of a one class outnumber the number ... |
Presentation
Best Agglomerative Ranked Subset for Feature Selection
(2008)
The enormous increase of the size in databases makes finding an optimal subset of features extremely difficult. In this ... |
Presentation
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 ... |
Chapter of Book
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series
(2008)
A new approach is presented in this work with the aim of predicting time series behaviors. A previous labeling of the ... |
Article
Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production
(Elsevier, 2008)
This paper presents an evolutionary technique applied to the optimal short-term scheduling (24 h) of the electric ... |
Article
XI Jornadas de Ingeniería del Software y Bases de Datos, JISBD’2006
(IEEE, 2007)
La presente edición de IEEE América Latina corresponde con una selección de los mejores trabajos presentados en la undécima ... |
Article
Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes
(Springer, 2007)
In this article, a set of clustering algorithms based on Fuzzy Logic and Data Mining are applied, allowing to obtain data ... |
Chapter of Book
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series
(2007)
Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of ... |
Chapter of Book
Efficient Incremental-Ranked Feature Selection in Massive Data
(Chapman and Hall/CRC, 2007)
|
Chapter of Book
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines
(2007)
Breast cancer is one of the diseases causing the largest number of deaths among women. Its early detection has been proved ... |
Article
Electricity Market Price Forecasting Based on Weighted Nearest Neighbors Techniques
(Institute of Electrical and Electronics Engineers (IEEE), 2007)
This paper presents a simple technique to forecast next-day electricity market prices based on the weighted nearest neighbors ... |
Chapter of Book
Estimación y toma de decisiones mediante algoritmos evolutivos
(Netlibros S.L., 2007)
En este capítulo se presenta un nuevo método para la aplicación de herramientas de Minería de Datos sobre la etapa de ... |
Presentation
Aplicación de Técnicas de Clustering a la Serie Temporal de los Precios de la Energía en el Mercado Eléctrico
(Thomson, 2007)
La principal tarea de las técnicas de clustering es formar grupos de elementos que presenten una conducta similar a partir ... |
Chapter of Book
Estimación y toma de decisiones mediante técnicas tradicionales y lógica borrosa
(Netlibros S.L., 2007)
En este capítulo se presentan algunas contribuciones en el campo de la toma de decisiones en Proyectos de Desarrollo de ... |
Chapter of Book
A Two Stage Zone Regression Method for Global Characterization of a Project Database
(Idea Group Pub., 2007)
One of the problems found in generic project databases, where the data is collected from different organizations, is the ... |
Article
Natural Encoding for Evolutionary Supervised Learning
(IEEE, 2007)
Some of the most influential factors in the quality of the solutions found by an evolutionary algorithm (EA) are a ... |
Presentation
Discovering Patterns in Electricity Price Using Clustering Techniques
(2007)
Clustering is a process of grouping similar elements gathered or occurred closely together. This paper presents two ... |
PhD Thesis
Heurísticas de selección de atributos para datos de gran dimensionalidad
(2006)
Esta tesis doctoral se enmarca en el campo del aprendizaje automático y aborda uno de sus principales problemas, como es ... |
Article
Presentación: Minería de Datos
(Asociación Española para la Inteligencia Artificial, 2006)
La Minería de Datos ha experimentado en los últimos años una notable explosión de interés tanto en ámbitos académicos ... |
Article
Minería de Datos: Conceptos y Tendencias
(IBERAMIA : Sociedad Iberoamericana de Inteligencia Artificial, 2006)
Hoy en día, la minería de datos (MD) está consiguiendo cada vez más captar la atención de las empresas. Todavía es infrecuente ... |
Chapter of Book
Data streams classification by incremental rule learning with parameterized generalization
(2006)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper ... |
Article
A comparison of effort estimation methods for 4GL programs: experiences with Statistics and Data Mining
(World Scientific Publishing Company, 2006)
This paper presents an empirical study analysing the relationship between a set of metrics for Fourth–Generation Languages ... |
Article
Incremental wrapper-based gene selection from microarray data for cancer classification
(Elsevier, 2006)
Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels ... |
Article
Incremental Rule Learning and Border Examples Selection from Numerical Data Streams
(Graz University of Technology, Institut für Informationssysteme und Computer Medie, 2005)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper ... |
Presentation
A Tool to Obtain a Hierarchical Qualitative Rules from Quantitative Data
(Springer, 2005)
A tool to obtain a classifier system from labelled databases is presented. The result is a hierarchical set of rules to ... |
Chapter of Book
Analysis of Feature Rankings for Classification
(2005)
Different ways of contrast generated rankings by feature selection algorithms are presented in this paper, showing several ... |
Article
Knowledge-Based Fast Evaluation for Evolutionary Learning
(IEEE, 2005)
The increasing amount of information available is encouraging the search for efficient techniques to improve the data ... |
Presentation
Búsqueda secuencial de subconjuntos de atributos sobre un rankin
(Thomson-Paraninfo, 2005)
La selección de atributos es una técnica de preprocesamiento que extrae atributos relevantes del conjunto total de atributos, ... |
Chapter of Book
Heuristic Search over a Ranking for Feature Selection
(2005)
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited ... |
Chapter of Book
Incremental rule learning based on example nearness from numerical data streams
(2005)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper ... |
Article
Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules
(Graz University of Technology, Institut für Informationssysteme und Computer Medien, 2005)
Visualization has become an essential support throughout the KDD process in order to extract hidden information from huge ... |
Chapter of Book
Learning Decision Rules by Means of Hybrid-Encoded Evolutionary Algorithms
(Springer, 2005)
This paper describes an approach based on evolutionary algorithms, HIDER ( erarchical cision ules), for learning rules in ... |
Presentation
Aprendizaje Incremental de Reglas en Data Streams
(Thomson-Paraninfo, 2005)
En este artículo presentamos FACIL, un algoritmo de aprendizaje incremental dirigido a la clasificación de data streams ... |
PhD Thesis
Técnicas avanzadas de predicción y optimización aplicadas a sistemas de potencia
(2004)
Esta tesis está enmarcada básicamente dentro de dos campos de investigación, la minería de datos y la optimización. ... |
Chapter of Book
Data Mining Approaches to Diffuse Large B–Cell Lymphoma Gene Expression Data Interpretation
(2004)
This paper presents a comprehensive study of gene expression patterns originating from a diffuse large B–cell lymphoma ... |
Presentation
Application of a KDD metodology to a real industrial process
(IEEE Xplore, 2004)
By means of an acid plant it is possible to transform sulphuric dioxide (SO2) into sulphuric acid, using for this a set ... |
Presentation
Applying data mining to software development projects : a case study
(SciTePress, 2004)
One of the main challenges that the project managers have during the building process of a software development project ... |
Chapter of Book
Statistical Test-Based Evolutionary Segmentation of Yeast Genome
(2004)
Segmentation algorithms emerge observing fluctuations of DNA sequences in alternative homogeneous domains, which are named ... |
PhD Thesis
Mejoras en eficiencia y eficacia de algoritmos evolutivos para aprendizaje supervisado
(2004)
Los algoritmos evolutivos conforman una de las más importantes familias de modelos computacionales con aplicación en el ... |
Article
Data Mining for the Management of Software Development Process
(World Scientific Publishing Company, 2004)
In this paper we present a new method for the application of data mining tools on the management phase of software development ... |
Chapter of Book
Multidimensional Data Visual Exploration by Interactive Information Segments
(2004)
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does ... |
Chapter of Book
Discovering decision rules from numerical data streams
(2004)
This paper presents a scalable learning algorithm to classify numerical, low dimensionality, high-cardinality, time-changing ... |
Chapter of Book
Evolutionary segmentation of yeast genome
(2004)
Segmentation algorithms differ from clustering algorithms with regard to how to deal with the physical location of genes ... |
Chapter of Book
Wrapper for Ranking Feature Selection
(2004)
We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly ... |
Presentation
Databases Reduction
(SciTePress, 2004)
Progress in digital data acquisition and storage technology has resulted in the growth of huge databases. Nevertheless, ... |
Presentation
ARGO: Improvement of Processes for Decision-Making in Software Engineering Project Management TIC2001-1143-C03
(2003)
This coordinated project develops, studies and researches into several key activities for software engineering project ... |
PhD Thesis |
Chapter of Book
Visualization techniques of management rules for software development projects
(2003)
The application of data mining techniques to the managing of software development projects (SDP) is not an uncommon ... |
Chapter of Book
Fast Feature Ranking Algorithm
(2003)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ... |
Chapter of Book
Natural Coding: A More Efficient Representation for Evolutionary Learning
(2003)
To select an adequate coding is one of the main problems in applications based on Evolutionary Algorithms. Many codings ... |
Chapter of Book
An efficient data structure for decision rules discovery
(2003)
The increasing amount of information available is encouraging the search for efficient techniques to improve the data ... |
Chapter of Book
Empirical Evaluation of the Difficulty of Finding a Good Value of k for the Nearest Neighbor
(2003)
As an analysis of the classification accuracy bound for the Nearest Neighbor technique, in this work we have studied if ... |
Chapter of Book
Clustering Main Concepts from e-Mails
(2003)
E–mail is one of the most common ways to communicate, assuming, in some cases, up to 75% of a company’s communication, in ... |
Chapter of Book
Mining Low Dimensionality Data Streams of Continuous Attributes
(2003)
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, ... |
Chapter of Book
Time-Series Prediction: Application to the Short-Term Electric Energy Demand
(2003)
This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to ... |
Chapter of Book
Fast Feature Selection by Means of Projections
(2003)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ... |
Chapter of Book
Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production
(2003)
In this paper, an evolutionary technique applied to the optimal short-term scheduling (24 hours) of the electric energy ... |
Presentation
A Data Mining Method to Support Decision Making in Software Development Projects
(École Supérieure d' Électronique de l' Ouest, 2003)
In this paper, we present a strategy to induce knowledge as support decision making in Software Development Projects (SDP). ... |
Chapter of Book
NLC: A Measure Based on Projections
(2003)
In this paper, we propose a new feature selection criterion. It is based on the projections of data set elements onto each ... |
Chapter of Book
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production
(2003)
This paper presents a study of the influence of the accuracy of hourly load forecasting on the energy planning and operation ... |
Chapter of Book
Prototype-based mining of numeric data streams
(2003)
Great organizations collect open-ended and time-changing data received at a high speed. The possibility of extracting ... |
Article
Evolutionary Learning of Hierarchical Decision Rules
(IEEE, 2003)
This paper describes an approach based on evolutionary algorithms, hierarchical decision rules (HIDER), for learning rules ... |
Article
Supervised learning by means of accuracy-aware evolutionary algorithms
(Elsevier, 2003)
This paper describes a new approach, HIerarchical DEcision Rules (HIDER), for learning generalizable rules in continuous ... |
Article
Finding representative patterns withordered projections
(Elsevier, 2003)
This paper presents a new approach to 2nding representative patterns for dataset editing. The algorithm patterns by ... |
Article
Projection-based measure for efficient feature selection
(IOS Press, 2002)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ... |
Article
Método de inducción de reglas de clasificación oblicuas mediante un algoritmo evolutivo
(Universidad Autónoma de Bucaramanga, 2002)
En este artículo presentamos un nuevo método, de nominado OBLIC, para inducción de reglas de clasificación oblicuas no ... |
Presentation
Discovering Numeric Association Rules via Evolutionary Algorithm
(Springer, 2002)
Association rules are one of the most used tools to discover relationships among attributes in a database. Nowadays, there ... |
Presentation
Generation of Management Rules through System Dynamics and Evolutionary Computation
(Springer, 2002)
Decision making has been traditionally based on a managers experience. This paper, however, discusses how a software ... |
Chapter of Book
SOAP: Efficient Feature Selection of Numeric Attributes
(2002)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ... |
Chapter of Book
An evolutionary algorithm to discover numeric association rules
(2002)
Association rules are one of the most used tools to discover relationships among attributes in a database. Nowadays, there ... |
Presentation
Improving the Evolutionary Coding for Machine Learning Tasks
(IOS Press, 2002)
The most influential factors in the quality of the solutions found by an evolutionary algorithm are a correct coding of ... |
Chapter of Book
Mining interesting regions using an evolutionary algorithm
(2002)
In this paper, we offer a new method to induce interesting knowledge from the relevant sets of data in databases for ... |
Chapter of Book
A Comparison of Two Techniques for Next- Day Electricity Price Forecasting
(2002)
In the framework of competitive markets, the market’s participants need energy price forecasts in order to determine their ... |
Presentation
Natural Evolutionary Coding: An Application to Estimating Software Development Projects
(International society for genetic and evolutionary computation (ISGEC), 2002)
Software Project Simulator and Evolutionary Computation are combined to generate decision rules. The purpose is to provide ... |
Chapter of Book
Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours
(2002)
In today’s deregulated markets, forecasting energy prices is becoming more and more important. In the short term, expected ... |
Presentation
SNN: A Supervised Clustering Algorithm
(Springer, 2001)
In this paper, we present a new algorithm based on the nearest neighbours method, for discovering groups and identifying ... |
Article
Analysis of environmental thresholds for runoff and erosion through qualitative reasoning methods
(WITPress, 2001)
Qualitative reasoning methods have proven useful to extract qualitative information from quantitative data in a wide ... |
Chapter of Book
OBLIC: Classification System Using Evolutionary Algorithm
(2001)
We present a new classification system based on Evolutionary Algorithm (EA), OBLIC. This tool is an OBLIque Classification ... |
Presentation
Improvements In The Decision Making In Software Projects
(Escola Superior de Tecnologia de Setúbal, 2001)
The Simulators of Software Development Projects based on dynamic models have supposed a significant advance in front of ... |
Presentation
SEGESOFT: un entorno de entrenamiento para la gestión de proyectos software
(SISTEDES: Ingeniería de Software y las Tecnologías de Desarrollo de Software, 2001)
La gestión de proyectos se puede considerar todavía como un arte en el cual el uso de la información cuantitativa tiende ... |
Article
Data Set Editing by Ordered Projection
(IOS Press, 2001)
This paper presents a new approach to data set editing. The algorithm (EOP: Editing by Ordered Projection) has some ... |
Presentation
Mining Numeric Association Rules with Genetic Algorithms
(Springer, 2001)
In this last decade, association rules are being, inside Data Mining techniques, one of the most used tools to find ... |
Article
An evolutionary approach to estimating software development projects
(Elsevier, 2001)
The use of dynamic models and simulation environments in connection with software projects paved the way for tools that ... |
Presentation
Integración de información en un entorno de entrenamiento para la gestión de proyectos software
(Asociación de Técnicos de Informática (ATI), 2001)
La gestión de proyectos se puede considerar todavía como un arte en el cual el uso de la información cuantitativa tiende ... |
Chapter of Book
Separation Surfaces through Genetic Programming
(2001)
The aim of this paper is to describe a study for the obtaining, symbolically, of the separation surfaces between clusters ... |
Chapter of Book
Non-parametric Nearest Neighbor with Local Adaptation
(2001)
The k-Nearest Neighbor algorithm (k-NN) uses a classification criterion that depends on the parameter k. Usually, the value ... |
Article
An Evolutionary and Local Search Algorithm for Motion Planning of Two Manipulators
(Wiley, 2001)
A method for obtaining coordinated motion plans of robot manipulators is presented. A decoupled planning approach has been ... |
Presentation
Mejoras en la Toma de Decisiones en Proyectos de Software. Aplicación de Téchnicas de Lógica Borrosa
(Asociación de Ingeniería del Software y Tecnologías de Desarrollo de Software (SISTEDES), 2000)
Los Simuladores de Proyectos de Desarrollo de Software basados en modelos dinámicos han supuesto un avance significativo ... |
Article
Discovering hierarchical decision rules with evolutive algorithms in supervised learning
(2000)
This paper describes a new approach, HIDER (HIerarchical DEcision Rules), for learning rules in continuous and discrete ... |
Chapter of Book
Three Geometric Approaches for representing Decision Rules in a Supervised Learning System
(Morgan Kaufmann Publishers Inc, 1999)
|
Presentation |
Chapter of Book
Automatic Generation of Collision-Free Programs for Multiple Manipulators Using Evolutive Algorithms
(World Scientific and Engineering Academy and Society, 1999)
A method based on Evolutionary Algorithms for obtaining coordinated motion plans of multiple manipulator robots using a ... |
Presentation
Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion
(Springer Nature, 1998)
A method based on genetic algorithms for obtaining coordinated motion plans of manipulator robots is presented. A decoupled ... |
Article
Una herramienta basada en algoritmos genéticos para obtener un clasificador jerárquico en aprendizaje supervisado
(Asociación Española para la Inteligencia Artificial, 1998)
|
Chapter of Book
Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes
(1998)
This article describes a new system for learning rules using rotated hyperboxes as individuals of a genetic algorithm (GA). ... |
Chapter of Book
Overload screening of transmission systems using neural networks
(1998)
The process of determining whether a power system is in a secure or insecure state is a crucial task which must be addressed ... |
Article
Search and Linguistic Description of Connected Regions In Quantitative Data
(International Federation of Automatic Control, 1997)
The aim of this paper is to resume a great volume of quantitative knowledge in a qualitative model formed by linguistic ... |
PhD Thesis |
Article
Coordinated motion planning of manipulators by evolution strategies
(WIT Press, 1995)
A method for obtaining coordinated motion plans of manipulator robots is presented. This planning can be easily implemented ... |