Directorio
MANUEL JESUS JIMENEZ NAVARRO
Categoría
Profesor Sustituto
Contacto
Correo electrónico
Departamento
Área
Lenguajes y Sistema Informáticos
Docencia
Asignaturas que imparte
Investigación
Grupo de investigación
SISTEMAS INFORMATICOS (SISTEMAS INFORMATICOS)
Proyectos y contratos de investigación
Aprendizaje profundo y transferencia de aprendizaje eficientes para salud y movilidad conectada (PID2020-117954RB-C22 - Investigador/a)
Asistencia a congresos
Jiménez, Manuel Jesús;M. Martínez-Ballesteros;Sousa, Isabel Sofía;Martínez-Álvarez, Francisco;Asencio-Cortes, Gualberto:
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection. Comunicación en congreso. 17th International Conference on Soft Computing Models in Industrial and Environmental Applications. SALAMANCA. 2022
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection. Comunicación en congreso. 17th International Conference on Soft Computing Models in Industrial and Environmental Applications. SALAMANCA. 2022
Torres-maldonado, José F.;Jiménez, Manuel Jesús;Martínez-Álvarez, Francisco;Troncoso-Lora, Alicia:
Electricity consumption time series forecasting using Temporal Convolutional Networks. Comunicación en congreso. XIX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA). Málaga. 2021
Electricity consumption time series forecasting using Temporal Convolutional Networks. Comunicación en congreso. XIX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA). Málaga. 2021
Jiménez, Manuel Jesús;Martínez-Álvarez, Francisco;Troncoso-Lora, Alicia;Asencio-Cortes, Gualberto:
HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting. Comunicación en congreso. International Conference on Soft Computing Models in Industrial and Environmental Applications. Bilbao. 2021
HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting. Comunicación en congreso. International Conference on Soft Computing Models in Industrial and Environmental Applications. Bilbao. 2021
Artículos publicados
Jiménez, Manuel Jesús;M. Martínez-Ballesteros;Martínez-Álvarez, Francisco;Asencio-Cortes, Gualberto:
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting. Journal of Big Data. 2023. Vol: 10. Núm: 80. Pág. 1-19. https://doi.org/10.1186/s40537-023-00745-0.
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting. Journal of Big Data. 2023. Vol: 10. Núm: 80. Pág. 1-19. https://doi.org/10.1186/s40537-023-00745-0.
Jiménez, Manuel Jesús;M. Martínez-Ballesteros;Martínez-Álvarez, Francisco;Troncoso-Lora, Alicia;Asencio-Cortes, Gualberto:
From Simple to Complex: A Sequential Method for Enhancing Time Series Forecasting with Deep Learning. Interest Group in Pure and Applied Logics. Logic Journal. 2023. Vol: In press.
From Simple to Complex: A Sequential Method for Enhancing Time Series Forecasting with Deep Learning. Interest Group in Pure and Applied Logics. Logic Journal. 2023. Vol: In press.
Jiménez, Manuel Jesús;M. Martínez-Ballesteros;Martínez-Álvarez, Francisco;Asencio-Cortes, Gualberto:
PHILNet: A novel efficient approach for time series forecasting using deep learning. Information Sciences. 2023. Vol: 632. Pág. 815-832. 10.1016/j.ins.2023.03.021.
PHILNet: A novel efficient approach for time series forecasting using deep learning. Information Sciences. 2023. Vol: 632. Pág. 815-832. 10.1016/j.ins.2023.03.021.
Molina -Cabanillas, Miguel Angel;Jiménez, Manuel Jesús;Arjona-Antolin, Ricardo;Martínez-Álvarez, Francisco;Asencio-Cortes, Gualberto:
DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting. Knowledge-Based Systems. 2022. Vol: 254. Núm: 109644. Pág. 1-15. 10.1016/j.knosys.2022.109644.
DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting. Knowledge-Based Systems. 2022. Vol: 254. Núm: 109644. Pág. 1-15. 10.1016/j.knosys.2022.109644.
