José María Luna-Romera

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Fourier Transform

Clustering Validity

Validity Indices

Top Venues

Integr. Comput. Aided Eng.

Artif. Intell. Medicine

Publications

Jose L. Salazar-González, José María Luna-Romera, Manuel Carranza-García, Juan Antonio Álvarez-García, Luis Miguel Soria-Morillo
Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation. Integr. Comput. Aided Eng. 31 (3) (2024)
Manuel Jesús Jiménez-Navarro, Belén Vega-Márquez, José María Luna-Romera, Manuel Carranza-García, María Martínez-Ballesteros
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. CISIS-ICEUTE (2023)
Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme
Efficient Short-Term Time Series Forecasting with Regression Trees. SOCO (2) (2023)
Pedro Lara-Benítez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme
Short-term solar irradiance forecasting in streaming with deep learning. Neurocomputing 546 (2023)
F. Javier Galán-Sales, Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera
An Approach to Enhance Time Series Forecasting by Fast Fourier Transform. SOCO (1) (2023)
Manuel Carranza-García, F. Javier Galán-Sales, José María Luna-Romera, José C. Riquelme
Object detection using depth completion and camera-LiDAR fusion for autonomous driving. Integr. Comput. Aided Eng. 29 (3) (2022)
Manuel Carranza-García, Pedro Lara-Benítez, José María Luna-Romera, José C. Riquelme
Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting. SOCO (2021)
José María Luna-Romera, Manuel Carranza-García, David Gutiérrez-Avilés, José Cristóbal Riquelme Santos
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. SOCO (2021)
Pedro Lara-Benítez, Luis Gallego-Ledesma, Manuel Carranza-García, José María Luna-Romera
Evaluation of the Transformer Architecture for Univariate Time Series Forecasting. CAEPIA (2021)
Laura Macías-García, María Martínez-Ballesteros, José María Luna-Romera, José Manuel García-Heredia, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance. Artif. Intell. Medicine 110 (2020)
José María Luna-Romera, María Martínez-Ballesteros, Jorge García-Gutiérrez, José C. Riquelme
External clustering validity index based on chi-squared statistical test. Inf. Sci. 487 (2019)
José David Martín-Fernández, José María Luna-Romera, Beatriz Pontes, José Cristóbal Riquelme Santos
Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering. SOCO (2019)
José María Luna-Romera, Fernando Núñez-Hernández, María Martínez-Ballesteros, José C. Riquelme, Carlos Usabiaga
Analysis of the Evolution of the Spanish Labour Market Through Unsupervised Learning. IEEE Access 7 (2019)
José María Luna-Romera, Jorge García-Gutiérrez, María Martínez-Ballesteros, José Cristóbal Riquelme Santos
An approach to validity indices for clustering techniques in Big Data. Prog. Artif. Intell. 7 (2) (2018)
Laura Macías-García, José María Luna-Romera, Jorge García-Gutiérrez, María Martínez-Ballesteros, José Cristóbal Riquelme Santos, Ricardo González-Cámpora
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation. J. Biomed. Informatics 72 (2017)
José María Luna-Romera, María del Mar Martínez-Ballesteros, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark. CAEPIA (2016)