| Electricity consumption time series forecasting using temporal convolutional networks JF Torres, MJ Jiménez-Navarro, F Martínez-Álvarez, A Troncoso Advances in Artificial Intelligence: 19th Conference of the Spanish …, 2021 | 7 | 2021 |
| HLNet: A novel hierarchical deep neural network for time series forecasting MJ Jiménez-Navarro, F Martínez-Álvarez, A Troncoso, G Asencio-Cortés 16th International Conference on Soft Computing Models in Industrial and …, 2022 | 6 | 2022 |
| PHILNet: A novel efficient approach for time series forecasting using deep learning MJ Jiménez-Navarro, M Martínez-Ballesteros, F Martínez-Álvarez, ... Information Sciences 632, 815-832, 2023 | 5 | 2023 |
| DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting MA Molina-Cabanillas, MJ Jiménez-Navarro, R Arjona, ... Knowledge-Based Systems 254, 109644, 2022 | 5 | 2022 |
| A model-based deep transfer learning algorithm for phenology forecasting using satellite imagery MÁ Molina, MJ Jiménez-Navarro, F Martínez-Álvarez, G Asencio-Cortés Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS …, 2021 | 5 | 2021 |
| A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal MJ Jimenez Navarro, M Martinez Ballesteros, I Sofia Brito, ... Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 441-448, 2023 | 4 | 2023 |
| Feature-Aware Drop Layer (FADL): a nonparametric neural network layer for feature selection MJ Jiménez-Navarro, M Martínez-Ballesteros, IS Sousa Brito, ... International Workshop on Soft Computing Models in Industrial and …, 2022 | 4 | 2022 |
| A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting MJ Jiménez-Navarro, M Martínez-Ballesteros, F Martínez-Álvarez, ... Journal of Big Data 10 (1), 80, 2023 | 2 | 2023 |
| Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning MJ Jiménez-Navarro, M Martínez-Ballesteros, F Martínez-Álvarez, ... International Work-Conference on Artificial Neural Networks, 15-26, 2023 | 1 | 2023 |
| Explaining deep learning models for ozone pollution prediction via embedded feature selection MJ Jiménez-Navarro, M Martínez-Ballesteros, F Martínez-Álvarez, ... Applied Soft Computing 157, 111504, 2024 | | 2024 |
| Uso de herramientas software colaborativas para el seguimiento, estudio y evaluación de clases de enseñanzas prácticas y desarrollo MM Martínez Ballesteros, MJ Jiménez Navarro, M Carranza García, ... Enseñanza e Innovación Educativa en el ámbito Universitario (INNOVARUS 2023), 2024 | | 2024 |
| Explaining Learned Patterns in Deep Learning by Association Rules Mining MJ Jiménez-Navarro, M Martínez-Ballesteros, F Martínez-Álvarez, ... International Conference on Soft Computing Models in Industrial and …, 2023 | | 2023 |
| Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting MJ Jiménez-Navarro, C Restrepo-Estrada, L Melgar-García, ... International Conference on Soft Computing Models in Industrial and …, 2023 | | 2023 |
| Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation MJ Jiménez-Navarro, B Vega-Márquez, JM Luna-Romera, ... Computational Intelligence in Security for Information Systems Conference …, 2023 | | 2023 |
| Check for Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation MJ Jiménez-Navarro, B Vega-Márquez, JM Luna-Romera, ... International Joint Conference 16th International Conference on …, 2023 | | 2023 |
| Novel efficient deep learning architectures for time series forecasting MJ Jiménez Navarro Novel efficient deep learning architectures for time series forecasting, 1-203, 2023 | | 2023 |
Francisco Martínez-ÁlvarezFull Professor, Data Science & Big Data Lab, Pablo de Olavide University of Seville, SpainBestätigte E-Mail-Adresse bei upo.es
