Directorio

JOSE MARIA LUNA ROMERA

Categoría

Profesor Permanente Laboral - Mod. PCD

Ver perfil de PRISMA

Contacto

Correo electrónico

jmluna@us.es

Departamento

LENGUAJES Y SISTEMAS INFORMÁTICOS

Área

Lenguajes y Sistema Informáticos

Centro

Docencia

Investigación

Proyectos y contratos de investigación

Reina-jiménez, Pablo;Manuel Carranza-García;Luna, José María;Riquelme-Santos, José Cristóbal:
Efficient Short-Term Time Series Forecasting with Regression Trees. Ponencia en Congreso. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications. Salamanca. 2023

Galán-sales, F. Javier;Reina-jiménez, Pablo;Manuel Carranza-García;Luna, José María:
An Approach to Enhance Time Series Forecasting by Fast Fourier Transform. Ponencia en Congreso. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications. Salamanca. 2023

Jiménez-navarro, Manuel J.;Vega-Márquez, Belén;Luna, José María;Manuel Carranza-García;M. Martínez-Ballesteros:
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. Ponencia en Congreso. 14th International Conference on EUropean Transnational Education . Salamanca. 2023

Luna, José María;Manuel Carranza-García;Gutiérrez-avilés, David;Riquelme-Santos, José Cristóbal:
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. Ponencia en Congreso. 16th International Conference on Soft Computing Models in Industrial and Environmental Applications. Bilba. 2021

Lara, Pedro;Gallego-ledesma, Luis;Manuel Carranza-García;Luna, José María:
Evaluation of the Transformer Architecture for Univariate Time Series Forecasting. Ponencia en Congreso. 19th Conference of the Spanish Association for Artificial Intelligence. Málaga. 2021

Manuel Carranza-García;Lara, Pedro;Luna, José María;Riquelme-Santos, José Cristóbal:
Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting. Ponencia en Congreso. 16th International Conference on Soft Computing Models in Industrial and Environmental Applications. Bilba. 2021

Luna, José María;Nuñez-Hernandez, Fernando;M. Martínez-Ballesteros;Riquelme-Santos, José Cristóbal;Usabiaga-Ibañez, Carlos:
Cluster Analysis of the Spanish Labour Market. Comunicación en congreso. XIII Jornadas de Economía Laboral. Islantilla, Huelva. 2019

Martín-fernández, José David;Luna, José María;Pontes-Balanza, Beatriz;Riquelme-Santos, José Cristóbal:
Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering. Comunicación en congreso. 14th International Conference on Soft Computing Models in Industrial and Environmental Applications. Sevilla. 2019

Luna, José María;García-Gutiérrez, Jorge;M. Martínez-Ballesteros;Riquelme-Santos, José Cristóbal:
Aproximación al índice externo de validación de clustering basado en chi cuadrado. Comunicación en congreso. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial. Granada. 2018

Luna, José María;M. Martínez-Ballesteros;García-Gutiérrez, Jorge:
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark. Comunicación en congreso. Conference of the Spanish Association for Artificial Intelligence. Salamanca, Spain. 2016

Artículos publicados

Lara, Pedro;Manuel Carranza-García;Luna, José María;Riquelme-Santos, José Cristóbal:
Short-term solar irradiance forecasting in streaming with deep learning. Neurocomputing. 2023. Vol: 546. 10.1016/j.neucom.2023.126312.

Manuel Carranza-García;Galán-sales, Francisco Javier;Luna, José María;Riquelme-Santos, José Cristóbal:
Object Detection Using Depth Completion and Camera-LiDAR Fusion for Autonomous Driving. Integrated Computer-Aided Engineering. 2022. Vol: 29. Núm: 3. Pág. 241-258. 10.3233/ICA-220681.

Wen, H;Luna, José María;Riquelme-Santos, José Cristóbal;Dwyer, C;Chang, Sly:
Statistically representative metrology of nanoparticles via unsupervised machine learning of TEM images. Nanomaterials. 2021. Vol: 11. 10.3390/nano11102706.

Macías-García, Laura;M. Martínez-Ballesteros;Luna, José María;Garcia-Heredia, Jose Manuel;García-Gutiérrez, Jorge;Riquelme-Santos, José Cristóbal:
Autoencoded DNA Methylation Data to Predict Breast Cancer Recurrence: Machine Learning Models and Gene-Weight Significance. Artificial Intelligence in Medicine. 2020. https://doi.org/10.1016/j.artmed.2020.101976.

Lara, Pedro;Manuel Carranza-García;Luna, José María;Riquelme-Santos, José Cristóbal:
Temporal Convolutional Networks Applied to Energy-related Time Series Forecasting. Applied Sciences. 2020. Vol: 10. Núm: 7. 10.3390/app10072322.

Luna, José María;M. Martínez-Ballesteros;García-Gutiérrez, Jorge;Riquelme-Santos, José Cristóbal:
External clustering validity index based on chi-squared statistical test. Information Sciences. 2019. Vol: 487. Pág. 1-17. 10.1016/j.ins.2019.02.046.

Luna, José María;Nuñez-Hernandez, Fernando;M. Martínez-Ballesteros;Riquelme-Santos, José Cristóbal;Usabiaga-Ibañez, Carlos:
Analysis of the Evolution of the Spanish Labour Market through Unsupervised Learning. IEEE Access. 2019. Vol: 7. Pág. 121695-121708. 10.1109/ACCESS.2019.2935386.

Angel Arcos-Vargas;Luna, José María;García-Gutiérrez, Jorge;Riquelme-Santos, José Cristóbal:
Smart meters: potential savings for consumers (DYNA JCR SCI 0.629). Dyna. 2018. , Jose-Maria Luna-Romera, Jorge Garcia-Gutierrez, Jose-Carlos Riquelme-Santos.

Luna, José María;García-Gutiérrez, Jorge;M. Martínez-Ballesteros;Riquelme-Santos, José Cristóbal:
An approach to validity indices for clustering techniques in Big Data. Progress in Artificial Intelligence. 2018. Vol: 7. Núm: 2. Pág. 81-94. 10.1007/s13748-017-0135-3.

Pérez , Rubén ;Luna, José María;Troncoso-Lora, Alicia;Martínez-Álvarez, Francisco;Riquelme-Santos, José Cristóbal:
Big data analytics for discovering electricity consumption patterns in smart cities. Energies. 2018. Vol: 11. Núm: 3. https://doi.org/10.3390/en11030683.

Macías-García, Laura;Luna, José María;García-Gutiérrez, Jorge;M. Martínez-Ballesteros;Riquelme-Santos, José Cristóbal;González-Campora, Ricardo:
A Study of the Suitability of Autoencoders for Preprocessing Data in Breast Cancer Experimentation. Journal of Biomedical Informatics. 2017. Vol: 72. Pág. 33-44. 10.1016/j.jbi.2017.06.020.

Luna, José María;M. Martínez-Ballesteros;García-Gutiérrez, Jorge;Riquelme-Santos, José Cristóbal:
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark. Lecture Notes in Computer Science. 2016. Vol: 9868. Pág. 160-169. 10.1007/978-3-319-44636-3_15.