José María Luna-Romera

According to our database, José María Luna-Romera authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

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

Efficient Short-Term Time Series Forecasting with Regression Trees.

Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 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

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

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

Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023

2022

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

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

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting.

Manuel Carranza-García, Pedro Lara-Benítez, José María Luna-Romera, José C. Riquelme

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Evaluation of the Transformer Architecture for Univariate Time Series Forecasting.

Pedro Lara-Benítez, Luis Gallego-Ledesma, Manuel Carranza-García, José María Luna-Romera

Proceedings of the Advances in Artificial Intelligence, 2021

2020

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

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

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

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

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

2018

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

2017

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

2016

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

Proceedings of the Advances in Artificial Intelligence, 2016