M. J. Jiménez-Navarro

According to our database, M. J. Jiménez-Navarro authored at least 12 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting.

Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés

J. Big Data, December, 2023

PHILNet: A novel efficient approach for time series forecasting using deep learning.

M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés

Inf. Sci., 2023

Explaining Learned Patterns in Deep Learning by Association Rules Mining.

M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting.

Manuel Jesús Jiménez-Navarro, Camilo Restrepo Estrada, Laura Melgar-García, David Gutiérrez-Avilés

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal.

Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning.

M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés

Proceedings of the Advances in Computational Intelligence, 2023

Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation.

Manuel Jesús Jiménez-Navarro, Belén Vega-Márquez, José María Luna-Romera, Manuel Carranza-García, María Martínez-Ballesteros

Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023

2022

DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting.

Miguel Angel Molina-Cabanillas, M. J. Jiménez-Navarro, Ricardo Arjona, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés

Knowl. Based Syst., 2022

Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection.

Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Sousa Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés

Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

2021

HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting.

M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery.

M. Á. Molina, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks.

José F. Torres, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso

Proceedings of the Advances in Artificial Intelligence, 2021