Publicaciones

2014

Comments on Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization by Eyke Hüllermeier

Luciano Sánchez

Comparison and Design of Interpretable Linguistic vs. Scatter FRBSs: GM3M Generalization and New Rule Meaning Index (RMI) for Global Assessment and Local Pseudo-Linguistic Representation

M. Galende, M. Gacto, G. Sainz, Rafael Alcalá

Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms

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

2014-HAIS-ConcurrenceLabels.pdf

Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA

Ana Palacios, Krzysztof Trawinski, Óscar Cordón García, Luciano Sánchez

Harnessing the information contained in low-quality data sources

Inés Couso, Luciano Sánchez

Interval-valued Blind Source Separation Applied to AI-based Prognostic Fault Detection of Aircraft Engines

Alvaro Martínez, Luciano Sánchez, Inés Couso

LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification

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

2014-TNNLS-LI-MLC.pdf

METSK-HDe: A Multiobjective Evolutionary Algorithm to learn accurate TSK-fuzzy Systems in High-Dimensional and Large-Scale Regression Problems

M. Gacto, M. Galende, Rafael Alcalá, Francisco Herrera Triguero

2014-MJGacto-METSK-HDe.pdf

MLeNN: A First Approach to Heuristic Multilabel Undersampling

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

2014-IDEAL-MLeNN.pdf

Mutual Information-Based Feature Selection in Fuzzy Databases Applied to Searching for the Best Code Metrics in Automatic Grading

José Otero, Rosario Suárez, Luciano Sánchez, Marios Polycarpou, André de Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián, Emilio Corchado

Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms

Cristóbal J. Carmona, Pedro González García, Maria José del Jesus Díaz, Francisco Herrera Triguero

2014-Carmona-WIRE-DMKD.pdf

Propuesta de una asignatura de Diseño de Servidores para la especialidad de Tecnologías de Información

Antonio Jesús Rivera Rivas, Macarena Espinilla, Alberto Luis Fernández Hilario, José López, Francisco Charte Ojeda

2014-EAIC14-AsignaturaDisenoServ.pdf

Selecting the Most Informative Inputs in Modelling Problems with Vague Data Applied to the Search of Informative Code Metrics for Continuous Assessment in Computer Science Online Courses

José Otero, Maria Suárez, Ana Palacios, Inés Couso, Luciano Sánchez, Chris Cornelis, Marzena Kryszkiewicz, Dominik Ślȩzak, Ernestina Ruiz, Rafael Bello, Lin Shang

Short, medium and long term forecasting of time series using the L-Co-R algorithm

Elisabet Parras Gutiérrez, V. Rivas, M.G. Arenas, Maria José del Jesus Díaz

Supervising classrooms comprising children with dyslexia and other learning problems with graphical exploratory analysis for fuzzy data: Presentation of the software tool and case study

Ana Palacios, Luciano Sánchez

The notion of roughness of a fuzzy set

Inés Couso, Laura Garrido, Luciano Sánchez

Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets

María Dolores Pérez Godoy, Antonio Jesús Rivera Rivas, Cristóbal J. Carmona, Maria José del Jesus Díaz

2014-Perez-ASOC.pdf

2013

A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments

María Dolores Pérez Godoy, Antonio Jesús Rivera Rivas, Maria José del Jesus Díaz, Francisco Martínez

A First Approach to Deal with Imbalance in Multi-label Datasets

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

2013-HAIS-ImbalanceMultilabel.pdf

A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-based Multiclassifiers Revista: IEEE Transactions on Fuzzy Systems

Óscar Cordón García, Luciano Sánchez, Arnaud Quirin, Krzysztof Trawinski

A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets

Victoria López, Alberto Fernández, Maria José del Jesus Díaz, Francisco Herrera Triguero

A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotorblade leading edge materials

Luciano Sánchez, Inés Couso, Ana Palacios, José Palacios

A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN

Antonio Jesús Rivera Rivas, B. García-Domingo, Maria José del Jesus Díaz, Jose Joaquin García, Václav Snášel, Ajith Abraham, Emilio Corchado

Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks

Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, María Dolores Pérez Godoy, Maria José del Jesus Díaz

2013-IWANN-AlternativeOVA.pdf

An evolutionary fuzzy system for the detection of exceptions in subgroup discovery

Cristóbal J. Carmona, Pedro González García, B. García-Domingo, Maria José del Jesus Díaz, Jose Joaquin García

2013 - IFSA.pdf

Análisis del virus de la gripe A mediante descubrimientos de subgrupos difusos

Cristóbal J. Carmona, C. Chrysostomou, H. Seker, Maria José del Jesus Díaz

2013 - TAMIDA.pdf

Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

Alberto Fernández, Victoria López, Mikel Galar, Maria José del Jesus Díaz, Francisco Herrera Triguero, ELSEVIER BV

Analysis of data complexity measures for classification

José Ramón Cano De Amo

Applying Subgroup Discovery Based on Evolutionary Fuzzy Systems for Web Usage Mining in E-Commerce: A Case Study on OrOliveSur.com

Cristóbal J. Carmona, Maria José del Jesus Díaz, F. Sun, T. Li, H. Li

2012 - ISKE.pdf

Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks

Antonio Rivas, B. García-Domingo, Maria José del Jesus Díaz, Jose Joaquin García

CI-LQD: A software tool for modeling and decision making with Low Quality Data

Ana Palacios, L. Sánchez, I. Couso

Engine Health Monitoring for engine fleets using fuzzy radviz

A. Martínez, L. Sánchez, I. Couso

Fuzzy Rules for Describing Subgroups from Influenza A Virus Using a Multi-objective Evolutionary Algorithm

Cristóbal J. Carmona, C. Chrysostomou, H. Seker, Maria José del Jesus Díaz

2013-Carmona-ASOC.pdf

MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology

Cristóbal J. Carmona, Pedro González García, B. García-Domingo, Maria José del Jesus Díaz, Jose Joaquin García

2013-Carmona-KBS.pdf

Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?

Krzysztof Trawinski, Óscar Cordón García, Arnaud Quirin, Luciano Sánchez

Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems

M. Gacto, M. Galende, Rafael Alcalá, Francisco Herrera Triguero

2013-MJGacto.pdf

Predicción de tráfico mediante co-evolución de Redes Neuronales de Funciones de Base Radial y selección de variables de entrada

V. Rivas, Elisabet Parras Gutiérrez, M.G. Arenas, P.A. Castillo, P. Garcia-Sanchez, Juan Merelo, P. Garcia-Fernandez

Similarity and dissimilarity measures between fuzzy sets: A formal relational study

Inés Couso, Laura Garrido, Luciano Sánchez

The L-Co-R Co-evolutionary Algorithm: A Comparative Analysis in Medium-term Time-series Forecasting Problems

Elisabet Parras Gutiérrez, V. Rivas, Juan Merelo

Un sistema difuso evolutivo para la detección de excepciones en descubrimiento de subgrupos

Cristóbal J. Carmona, Pedro González García, Maria José del Jesus Díaz

2013 - LFSC.pdf

Descubrimiento de subgrupos aplicado al portal de comercio electrónico: OrOliveSur.com

Cristóbal J. Carmona, Maria José del Jesus Díaz, Salvador García López

TR-SD-OrOliveSur.pdf

2012

Aprendizaje Evolutivo De Sistemas Aproximativos De Tipo TSK Para Problemas De Alta Dimensionalidad

M. Gacto, Rafael Alcalá, Francisco Herrera Triguero

Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems

F. Chávez, Alberto Luis Fernández Hilario, M. Gacto, Rafael Alcalá

Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm

Elisabet Parras Gutiérrez, M. García-Arenas, V. Rivas, Maria José del Jesus Díaz

COMBINING ADABOOST WITH PREPROCESSING ALGORITHMS FOR EXTRACTING FUZZY RULES FROM LOW QUALITY DATA IN POSSIBLY IMBALANCED PROBLEMS

Ana Palacios, Luciano Sánchez, Inés Couso

Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data

Ana Palacios, José Palacios, Luciano Sánchez

Evolutionary-Based Selection of Generalized Instances for Imbalanced Classification

Salvador García López, J. Derrac, I. Triguero, Cristóbal J. Carmona, Francisco Herrera Triguero

2012-Garcia-KBS.pdf

Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classication Systems for Highly Imbalanced Data-Sets

P. Villar, Alberto Luis Fernández Hilario, R. Carrasco, Francisco Herrera Triguero

Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD

Cristóbal J. Carmona, Pedro González García, M. Gacto, Maria José del Jesus Díaz

2012-Carmona-IJCIS.pdf

Analysing the Moodle e-learning platform through subgroup discovery algorithms based on evolutionary fuzzy systems

Cristóbal J. Carmona, David Elizondo