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ORCIDJosé María Luna-Romera
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2020 – today
- 2024
[j8]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): 307-326 (2024)- 2023
- [j7]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: 126312 (2023) - [c8]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: 319-328 - [c7]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: 101-110 - [c6]Francisco 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: 259-268 - 2022
- [j6]Manuel Carranza-García, Francisco 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): 241-258 (2022) - 2021
- [c5]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: 106-115 - [c4]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: 654-664 - [c3]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: 706-716 - 2020
- [j5]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: 101976 (2020)
2010 – 2019
- 2019
- [j4]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: 121695-121708 (2019) - [j3]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: 1-17 (2019) - [c2]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: 3-13 - 2018
- [j2]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): 81-94 (2018) - 2017
- [j1]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: 33-44 (2017) - 2016
- [c1]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: 160-169
Coauthor Index
aka: María del Mar Martínez-Ballesteros
aka: José C. Riquelme
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