Publicaciones

2018

Improvement of subgroup descriptions in noisy data by detecting exceptions

Pedro González García, Ángel Miguel García-Vico, Cristóbal J. Carmona, Maria José del Jesus Díaz

2017-Gzlez-PRAI.pdf

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming

J. Luna, M. Pechenizkiy, Maria José del Jesus Díaz, S. Ventura

Modelos descriptivos basados en aprendizaje supervisado para el tratamiento de grandes volúmenes de datos y flujos continuos de datos

Ángel Miguel García-Vico

2018_Garcia_DocConsCAEPIA.pdf

MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns

Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González García, Maria José del Jesus Díaz

MOEA-EFEP: Un algoritmo evolutivo multi-objetivo para la extracción de patrones emergentes difusos

Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González García, Maria José del Jesus Díaz

2018_Garcia_MAEB.pdf

Nuevas arquitecturas hardware de procesamiento de alto rendimiento para aprendizaje profundo

Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, Macarena Espinilla, María Dolores Pérez Godoy

2018-EAIC18-HardwareAltoRend-compressed.pdf

Reglas de asociación en datos multi-instancia mediante programación genética gramatical

J.M. Luna, O. Reyes, Maria José del Jesus Díaz, S. Ventura

Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository

Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, David Charte, Maria José del Jesus Díaz, Francisco Herrera Triguero

2018-Neucom-TipsMLCCometa-compressed.pdf

Una primera aproximación a la predicción de variables turísticas con Deep Learning

Daniel Viedma, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, Maria José del Jesus Díaz

2018-CAEPIA-TurismoLSTMs.pdf

Una primera aproximación para la extracción de patrones emergentes en flujos continuos de datos

Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González García, Maria José del Jesus Díaz

2018_Garcia_BigDADE.pdf

2017

A First Approach to Handle Emergining Patterns Mining on Big Data Problems: The EvAEFP-Spark Algorithm

Ángel Miguel García-Vico, Pedro González García, Maria José del Jesus Díaz, Cristóbal J. Carmona

2017-Garcia-FuzzIEEE.pdf

A first approach towards a fuzzy decision tree for multilabel classification

Ronaldo Prati, Francisco Charte Ojeda, Francisco Herrera Triguero

2017-IEEE-FuzzyDTMLC.pdf

A methodology for applying k-nearest neighbor to time series forecasting

Francisco Martínez, María del Pilar Frías Bustamante, María Dolores Pérez Godoy, Antonio Jesús Rivera Rivas

A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets

Alberto Luis Fernández Hilario, Cristóbal J. Carmona, Maria José del Jesus Díaz, Francisco Herrera Triguero

2017-Fernandez-IJNS.pdf

A specialized lazy learner for time series forecasting

Francisco Martínez, M.P. Frías, Francisco Charte Ojeda, Antonio Jesús Rivera Rivas

2017-CMMSE-SpecializedLazyLearner.pdf

A Transformation Approach Towards Big Data Multilabel Decision Trees

Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, Franciso Javier Pulgar Rubio, Maria José del Jesus Díaz

2017-IWANN-BigDataMLDT.pdf

Additive similarity and dissimilarity measures

Inés Couso, Luciano Sánchez

Análisis de Diferentes Tipos de Reglas en Sistemas Difusos Evolutivos para Minería de Patrones Emergentes

Ángel Miguel García-Vico, Cristóbal J. Carmona, Maria José del Jesus Díaz

2017-Garcia-MAEB2017.pdf

CommuniMents: A Framework for Detecting Community Based Sentiments for Events

Muhammad Jarwar, Rabeeh Abbasi, Mubashar Mushtaq, Onaiza Maqbool, Naif Aljohani, Ali Daud, Jalal Alowidbi, José Ramón Cano De Amo, Salvador García López, Ilyoung Chong

Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass

Francisco Charte Ojeda, Inmaculada Romero, María Dolores Pérez Godoy, Antonio Jesús Rivera Rivas, Eulogio Castro

2017-CACE-Biomasa.pdf

Detecting hidden periodicities for models with cyclical errors

M.P. Frías, Alexander Ivanov, Nikolai Leonenko, Francisco Martínez, María Ruiz-Medina

Evolución tecnológica del hardware de vídeo y las GPU en los ordenadores personales

Francisco Charte Ojeda, Antonio Rueda, Macarena Espinilla, Antonio Jesús Rivera Rivas

2017-EAIC17-EvolucionGPUs.pdf

Impact of the Type of Rule in Fuzzy Emerging Pattern Mining on a Big Data Approach

Ángel Miguel García-Vico, Pedro González García, Cristóbal J. Carmona, Maria José del Jesus Díaz

2017-Garcia-ISFUROS.pdf

Is the average photon energy a unique characteristic of the spectral distribution of global irradiance?

G Nofuentes, CA Gueymard, Jose Joaquin García, María Dolores Pérez Godoy, Francisco Charte Ojeda

2017-SolarEnergy-Photon-compressed.pdf

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining.

I. Triguero, S. Gonzalez, J.M. Moyano, Salvador García López, Jesus Alcala-Fdez, J. Luengo, Alberto Luis Fernández Hilario, Maria José del Jesus Díaz, L. Sánchez, Francisco Herrera Triguero, ATLANTIS PRESS.

MEFASD-BD: Multi-Objective Evolutionary Algorithm for Subgroup Discovery in Big Data Environments - A MapReduce Solution

Franciso Javier Pulgar Rubio, Antonio Jesús Rivera Rivas, María Dolores Pérez Godoy, Pedro González García, Cristóbal J. Carmona, Maria José del Jesus Díaz

Mining association rules in R using the package RKEEL

O. Sánchez, J. Moyano, L. Sánchez, Jesus Alcala-Fdez

Modeling the Transformation of Olive Tree Biomass into Bioethanol with Reg-CO2RBFN

Francisco Charte Ojeda, Inmaculada Romero, Antonio Jesús Rivera Rivas, Eulogio Castro

2017IWANN-Biomass.pdf

MoNGEL: monotonic nested generalized exemplar learning

Javier García, Habib Fardoun, Daniyal Alghazzawi, José Ramón Cano De Amo, Salvador García López

On the Impact of Imbalanced Data in Convolutional Neural Networks Performance

Franciso Javier Pulgar Rubio, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, Maria José del Jesus Díaz

Pulgar2017_Chapter_OnTheImpactOfImbalancedDataInC.pdf

Prototype selection to improve monotonic nearest neighbor

José Ramón Cano De Amo, Naif Aljohani, Rabeeh Abbasi, Jalal Alowidbi, Salvador García López

Time series forecasting using evolutionary neural nets implemented in a volunteer computing system

V.M. Rivas, Elisabet Parras Gutiérrez, J.J. Merelo, M.G. Arenas, P. Garcia-Fernandez

Training set selection for monotonic ordinal classification

José Ramón Cano De Amo, Salvador García López

Using fuzzy preference orderings in theta-dominance with application to health monitoring of Li-ion batteries

Yuviny Echevarría, Inés Couso, David Anseán, Cecilio Blanco, Luciano Sánchez

Uso de dispositivos FPGA como apoyo a la enseñanza de asignaturas de arquitectura de computadores

Francisco Charte Ojeda, Macarena Espinilla, Antonio Jesús Rivera Rivas, Franciso Javier Pulgar Rubio

2017-EAIC17-FPGAsEnsenanza.pdf

2016

Supervised Descriptive Rule Discovery: A Survey of the State-of-the-Art

Cristóbal J. Carmona, David Elizondo

New Developments in 1H NMR-linked Metabolomics: Identification of New Biomarkers for the Metabolomic Classification of Niemann-Pick Disease, Type C1, and its Response to Treatment

V. Ruiz-Rodado, Cristóbal J. Carmona, M. Grootveld, David Elizondo

Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach

Cristóbal J. Carmona, Franciso Javier Pulgar Rubio, Antonio Jesús Rivera Rivas, Maria José del Jesus Díaz, Jose Joaquin García

2016 - HAIS - CoreC.pdf

Explotación de la potencia de procesamiento mediante paralelismo: un recorrido histórico hasta la GPGPU

Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, Franciso Javier Pulgar Rubio, Maria José del Jesus Díaz

2016-EAIC16-Paralelismo.pdf

Finding informative code metrics under uncertainty for predicting the pass rate of online courses

José Otero, Luis Junco, Rosario Suárez, Ana Palacios, Inés Couso, Luciano Sánchez

Improving the Eco-Efficiency of High Performance Computing Clusters Using EECluster

Alberto Cocaña-Fernández, Luciano Sánchez, Josr Ranilla

Leveraging a predictive model of the workload for intelligent slot allocation schemes in energy-efficient HPC clusters

Alberto Cocaña-Fernández, Luciano Sánchez, José Ranilla

Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach

Inés Couso, Luciano Sánchez

Minería de Patrones Emergentes: Una oportunidad para la extracción evolutiva de conocimiento

Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González García, Maria José del Jesus Díaz

2016-Garcia-EPMReview.pdf

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, Maria José del Jesus Díaz, Francisco Herrera Triguero

2016-CAEPIA-MLSMOTE.pdf

Multilabel Classification: Problem Analysis, Metrics and Techniques

Francisco Herrera Triguero, Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, Maria José del Jesus Díaz

On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance

Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, Maria José del Jesus Díaz, Francisco Herrera Triguero

RKEEL: Using KEEL in R code

Jose Moyano, Luciano Sánchez

Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package

Ángel Miguel García-Vico, Francisco Charte Ojeda, Pedro González García, Cristóbal J. Carmona, Maria José del Jesus Díaz

2016-Garcia-RJournal.pdf

The Influence of Noise on the Evolutionary Fuzzy Systems for Subgroup Discovery

J. Luengo, Ángel Miguel García-Vico, María Dolores Pérez Godoy, Cristóbal J. Carmona

2016-Luengo-NoiseSD.pdf