Publicaciones

2021

Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study

David Charte, Iván Sevillano-García, María Lucena-González, José Martín-Rodríguez, Francisco Charte Ojeda, Francisco Herrera, Hugo González, Iker López, Pablo Bringas, Héctor Quintián, Emilio Corchado

Synthetic Sample Generation for Label Distribution Learning

M Gonzalez, Julián Luengo, José Ramón Cano De Amo, Salvador García López

1-s2.0-S0020025520307544-main.pdf, 1-s2.0-S0020025520307544-main.pdf

2020

A Comprehensive and Didactic Review on Multilabel Learning Software Tools

Francisco Charte Ojeda

A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

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

2020 - SOCO.pdf

A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops

Antonio Jesús Rivera Rivas, María Dolores Pérez Godoy, David Elizondo, Lipika Deka, Maria José del Jesus Díaz

Agglomerative Constrained Clustering Through Similarity and Distance Recalculation

Germán González-Almagro, Juan Suarez, Julián Luengo, José Ramón Cano De Amo, Salvador García López

An analysis of technological frameworks for data streams

F. Puentes, María Dolores Pérez Godoy, Pedro González García, Maria José del Jesus Díaz

An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges

David Charte, Francisco Charte Ojeda, Maria José del Jesus Díaz, Francisco Herrera Triguero

1-s2.0-S092523122030624X-main.pdf

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines

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

1-s2.0-S1566253519300880-main.pdf

DILS: Constrained clustering through dual iterative local search

Germán González-Almagro, Julián Luengo, José Ramón Cano De Amo, Salvador García López

1-s2.0-S0305054820300964-main.pdf

E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments

Ángel Miguel García-Vico, Francisco Charte Ojeda, Pedro González García, David Elizondo, Cristóbal J. Carmona

1-s2.0-S0925231220311139-main.pdf

El ecosistema de aprendizaje del estudiante universitario en la post-pandemia. Metodologías y herramientas

Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, J. Medina, Macarena Espinilla

EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search

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

FCharte-EvoAAAOpen.pdf

FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams

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

Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism

Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano De Amo, Salvador García López

3377930.3390187.pdf

ProLSFEO-LDL: Prototype Selection and Label- Specific Feature Evolutionary Optimization for Label Distribution Learning

M Gonzalez, José Ramón Cano De Amo, Salvador García López

Similarity-based and Iterative Label Noise Filters for Monotonic Classification

José Ramón Cano De Amo, Julián Luengo, Salvador García López

Temporal association rule mining: An overview considering the time variable as an integral or implied component

Alberto Segura-Delgado, M. Gacto, Rafael Alcalá, Jesus Alcala-Fdez

2019

A Big Data Approach for the Extraction of Fuzzy Emerging Patterns

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

García-Vico2019_Article_ABigDataApproachForTheExtracti.pdf

A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy

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

A Showcase of the Use of Autoencoders in Feature Learning Applications

David Charte, Francisco Charte Ojeda, Maria José del Jesus Díaz, Francisco Herrera Triguero

A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations

David Charte, Francisco Charte Ojeda, Salvador García López, Francisco Herrera Triguero

Automatic Time Series Forecasting with GRNN: A Comparison with Other Models

Francisco Martínez, Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, María del Pilar Frías Bustamante

Automating Autoencoder Architecture Configuration: An Evolutionary Approach

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

Dealing with difficult minority labels in imbalanced mutilabel data sets

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

2019-NeucomDealingDifficultLabels.pdf

El pasado de la computación personal. Historia de la microinformática (2a Edición)

Francisco Charte Ojeda, Lina García

Evolutionary Fuzzy Sistems for Explainable Artificial Intelligence: Why, When, What for, and Where to ?

Alberto Luis Fernández Hilario, Maria José del Jesus Díaz, Óscar Cordón García, F. Marcelloni, Francisco Herrera Triguero

Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems

M. Gacto, Jose Soto-Hidalgo, Jesus Alcala-Fdez, Rafael Alcalá

Label noise filtering techniques to improve monotonic classification

José Ramón Cano De Amo, J. Luengo, Salvador García López

1-s2.0-main.pdf

Monotonic classification: An overview on algorithms, performance measures and data sets

José Ramón Cano De Amo, Pedro Gutiérrez, Bartosz Krawczyk, Michał Woźniak, Salvador García López

1-s2.0-S0925231219302383-main.pdf

predtoolsTS: R package for streamlining time series forecasting

Francisco Charte Ojeda, Alberto Vico, María Dolores Pérez Godoy, Antonio Jesús Rivera Rivas

Charte2019_Article_PredtoolsTSRPackageForStreamli.pdf

REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization

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

2019-NeucomRemedial-HwR.pdf

Ruta: implementations of neural autoencoders in R

David Charte, Francisco Herrera Triguero, Francisco Charte Ojeda

1-s2.0-S0950705119300140-main.pdf

Smartdata: Data preprocessing to achieve smart data in R

I. Cordon, Julián Luengo, Salvador García López, Francisco Herrera Triguero, Francisco Charte Ojeda

Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments

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

Subgroup Discovery on Multiple Instance Data

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

Time Series Forecasting with KNN in R: the tsfknn Package

Francisco Martínez, María del Pilar Frías Bustamante, Francisco Charte Ojeda, Antonio Jesús Rivera Rivas

RJ-2019-004.pdf

2018

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

2018 - CAEPIA-262.pdf

A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations

David Charte, Francisco Charte Ojeda, Salvador García López, Francisco Herrera Triguero

2018-PRAI-NonStandard-Accepted.pdf

Análisis del impacto de datos desbalanceados en el rendimiento predictivo de redes neuronales convolucionales

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

2018-CAEPIA-DesbalanceoCNNs.pdf

Análisis preliminar de marcos tecnológicos en data stream

F. Puentes, María Dolores Pérez Godoy, Pedro González García, Maria José del Jesus Díaz

Atipicidad: Medida de calidad clave dentro del descubrimiento de reglas descriptivas supervisadas

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

2018 - CAEPIA-70.pdf

Credal C4.5 with Refinement of~Parameters

Carlos Mantas, Joaquín Abellán, Javier Castellano, José Ramón Cano De Amo, Serafín Moral, Jesús Medina, Manuel Ojeda-Aciego, José Verdegay, Irina Perfilieva, Bernadette Bouchon-Meunier, Ronald Yager

Evolutionary Data Mining and Applications: A Revision on the Most Cited Papers from the Last 10 Years (2007-2017)

Rafael Alcalá, M. Gacto, Jesus Alcala-Fdez

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

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

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

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