M. J. Jiménez-Navarro

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Learning Models

Electricity Consumption

Feature Selection

Top Venues

Publications

M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Explaining deep learning models for ozone pollution prediction via embedded feature selection. Appl. Soft Comput. 157 (2024)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Explaining Learned Patterns in Deep Learning by Association Rules Mining. SOCO (2) (2023)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning. IWANN (2) (2023)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
PHILNet: A novel efficient approach for time series forecasting using deep learning. Inf. Sci. 632 (2023)
Miguel Angel Molina-Cabanillas, M. J. Jiménez-Navarro, R. Arjona, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting. Knowl. Based Syst. 254 (2022)
M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés
HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting. SOCO (2021)
M. Á. Molina, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery. HAIS (2021)
José F. Torres, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks. CAEPIA (2021)