José María Luna-Romera

17 papers Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimizing power and performance in time series forecasting: A feature selection approach for green computing.
Sustain. Comput. Informatics Syst.
Francisco Javier Galán-Sales, M. J. Jiménez-Navarro, Belén Vega-Márquez, José María Luna-Romera
2024 J jnl
Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation.
Integr. Comput. Aided Eng.
Jose L. Salazar-González, José María Luna-Romera, Manuel Carranza-García, Juan Antonio Álvarez-García, Luis Miguel Soria-Morillo
2023 — conf
An Approach to Enhance Time Series Forecasting by Fast Fourier Transform.
SOCO (1)
Francisco Javier Galán-Sales, Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera
2023 — conf
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation.
CISIS-ICEUTE
Manuel Jesús Jiménez-Navarro, Belén Vega-Márquez, José María Luna-Romera, Manuel Carranza-García, María Martínez-Ballesteros
2023 — conf
Efficient Short-Term Time Series Forecasting with Regression Trees.
SOCO (2)
Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme
2023 J jnl
Short-term solar irradiance forecasting in streaming with deep learning.
Neurocomputing
Pedro Lara-Benítez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme
2022 J jnl
Object detection using depth completion and camera-LiDAR fusion for autonomous driving.
Integr. Comput. Aided Eng.
Manuel Carranza-García, Francisco Javier Galán-Sales, José María Luna-Romera, José C. Riquelme
2021 — conf
Evaluation of the Transformer Architecture for Univariate Time Series Forecasting.
CAEPIA
Pedro Lara-Benítez, Luis Gallego-Ledesma, Manuel Carranza-García, José María Luna-Romera
2021 — conf
Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting.
SOCO
Manuel Carranza-García, Pedro Lara-Benítez, José María Luna-Romera, José C. Riquelme
2021 — conf
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology.
SOCO
José María Luna-Romera, Manuel Carranza-García, David Gutiérrez-Avilés, José Cristóbal Riquelme Santos
2020 J jnl
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance.
Artif. Intell. Medicine
Laura Macías-García, María Martínez-Ballesteros, José María Luna-Romera, José Manuel García-Heredia, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos
2019 J jnl
Analysis of the Evolution of the Spanish Labour Market Through Unsupervised Learning.
IEEE Access
José María Luna-Romera, Fernando Núñez-Hernández, María Martínez-Ballesteros, José C. Riquelme, Carlos Usabiaga
2019 J jnl
External clustering validity index based on chi-squared statistical test.
Inf. Sci.
José María Luna-Romera, María Martínez-Ballesteros, Jorge García-Gutiérrez, José C. Riquelme
2019 — conf
Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering.
SOCO
José David Martín-Fernández, José María Luna-Romera, Beatriz Pontes, José Cristóbal Riquelme Santos
2018 J jnl
An approach to validity indices for clustering techniques in Big Data.
Prog. Artif. Intell.
José María Luna-Romera, Jorge García-Gutiérrez, María Martínez-Ballesteros, José Cristóbal Riquelme Santos
2017 J jnl
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation.
J. Biomed. Informatics
Laura Macías-García, José María Luna-Romera, Jorge García-Gutiérrez, María Martínez-Ballesteros, José Cristóbal Riquelme Santos, Ricardo González-Cámpora
2016 — conf
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark.
CAEPIA
José María Luna-Romera, María del Mar Martínez-Ballesteros, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos