Directorio
JOSE MARIA LUNA ROMERA
Categoría
Profesor Ayudante Doctor
Contacto
Correo electrónico
Departamento
Área
Lenguajes y Sistema Informáticos
Docencia
Asignaturas que imparte
Investigación
Proyectos y contratos de investigación
Plataforma wearable para el diagnóstico temprano de trastornos emocionales y agudizaciones en pacientes con enfermedades crónicas mediante el uso de I (P001-21/E22 - Investigador/a)
Tecnologías Big Data para Smart Grids (US-1263341 - Investigador/a)
Modelos de Deep Learning para sistemas de energía renovable: predicción de generación y mantenimiento preventivo y predictivo (PYC20 RE 078 US - Investigador/a)
Modelos híbridos adaptativos para predecir la producción de energías renovables solar y eólica (P18-RT-2778 - Investigador/a)
IA + IoT para la construcción de Servicios de Hogar Inteligente II (P011-21/E22 - Investigador Principal Consolidado)
IA + IoT para la construcción de Servicios de Hogar Inteligente I (P008-20/E22 - Investigador Principal Consolidado)
RAYUELA II Desarrollo de Estudios y Análisis en RAYUELA Inteligente (P011-20/E22 - Investigador/a)
Aprendizaje profundo y transferencia de aprendizaje eficientes para salud y movilidad conectada (PID2020-117954RB-C22 - Investigador/a)
Big Data Streaming: Análisis de Datos Masivos Continuos. Modelos Descriptivos (TIN2017-88209-C2-2-R - Investigador/a)
Modelos Avanzados para el Análisis Inteligente de Información. Aplicación a Datos Biomédicos y Medioambientales. (P11-TIC-7528 - Investigador/a)
Big Time-Aware Data: Análisis de Datos Masivos Indexados en el Tiempo. Reglas y Clustering. (TIN2014-55894-C2-1-R - Participante)
Asistencia a congresos
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
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
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. Ponencia en Congreso. 14th International Conference on EUropean Transnational Education . Salamanca. 2023
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
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
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
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
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
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
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
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
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
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.
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.
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.
Statistically representative metrology of nanoparticles via unsupervised machine learning of TEM images. Nanomaterials. 2021. Vol: 11. 10.3390/nano11102706.
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.
Temporal Convolutional Networks Applied to Energy-related Time Series Forecasting. Applied Sciences. 2020. Vol: 10. Núm: 7. 10.3390/app10072322.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
