An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark. - José María Luna-Romera; María del Mar Martínez-Ballesteros; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (CAEPIA, 2016)

A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation. - Laura Macías-García; José María Luna-Romera; Jorge García-Gutiérrez; María Martínez-Ballesteros; José Cristóbal Riquelme Santos; Ricardo González-Cámpora (J. Biomed. Informatics, 2017)

An approach to validity indices for clustering techniques in Big Data. - José María Luna-Romera; Jorge García-Gutiérrez; María Martínez-Ballesteros; José Cristóbal Riquelme Santos (Prog. Artif. Intell., 2018)

Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering. - José David Martín-Fernández; José María Luna-Romera; Beatriz Pontes; José Cristóbal Riquelme Santos (SOCO, 2019)

Analysis of the Evolution of the Spanish Labour Market Through Unsupervised Learning. - José María Luna-Romera; Fernando Núñez-Hernández; María Martínez-Ballesteros; José C. Riquelme; Carlos Usabiaga (IEEE Access, 2019)

External clustering validity index based on chi-squared statistical test. - José María Luna-Romera; María Martínez-Ballesteros; Jorge García-Gutiérrez; José C. Riquelme (Inf. Sci., 2019)

Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance. - Laura Macías-García; María Martínez-Ballesteros; José María Luna-Romera; José Manuel García-Heredia; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (Artif. Intell. Medicine, 2020)

Evaluation of the Transformer Architecture for Univariate Time Series Forecasting. - Pedro Lara-Benítez; Luis Gallego-Ledesma; Manuel Carranza-García; José María Luna-Romera (CAEPIA, 2021)

Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting. - Manuel Carranza-García; Pedro Lara-Benítez; José María Luna-Romera; José C. Riquelme (SOCO, 2021)

Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. - José María Luna-Romera; Manuel Carranza-García; David Gutiérrez-Avilés; José Cristóbal Riquelme Santos (SOCO, 2021)

Object detection using depth completion and camera-LiDAR fusion for autonomous driving. - Manuel Carranza-García; Francisco Javier Galán-Sales; José María Luna-Romera; José C. Riquelme (Integr. Comput. Aided Eng., 2022)

Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. - Manuel Jesús Jiménez-Navarro; Belén Vega-Márquez; José María Luna-Romera; Manuel Carranza-García; María Martínez-Ballesteros (CISIS-ICEUTE, 2023)

An Approach to Enhance Time Series Forecasting by Fast Fourier Transform. - Francisco Javier Galán-Sales; Pablo Reina-Jiménez; Manuel Carranza-García; José María Luna-Romera (SOCO (1), 2023)

Efficient Short-Term Time Series Forecasting with Regression Trees. - Pablo Reina-Jiménez; Manuel Carranza-García; José María Luna-Romera; José C. Riquelme (SOCO (2), 2023)

Short-term solar irradiance forecasting in streaming with deep learning. - Pedro Lara-Benítez; Manuel Carranza-García; José María Luna-Romera; José C. Riquelme (Neurocomputing, 2023)

Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation. - Jose L. Salazar-González; José María Luna-Romera; Manuel Carranza-García; Juan Antonio Álvarez-García; Luis Miguel Soria-Morillo (Integr. Comput. Aided Eng., 2024)