Andrés Manuel Chacón-Maldonado, Miguel Angel Molina-Cabanillas, Alicia Troncoso, Francisco Martínez-Álvarez, Gualberto Asencio Cortés. Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning. In Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero 0001, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado, editors, Hybrid Artificial Intelligent Systems - 17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings. Volume 13469 of Lecture Notes in Computer Science, pages 274-285, Springer, 2022. [doi]
@inproceedings{Chacon-Maldonado22,
title = {Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning},
author = {Andrés Manuel Chacón-Maldonado and Miguel Angel Molina-Cabanillas and Alicia Troncoso and Francisco Martínez-Álvarez and Gualberto Asencio Cortés},
year = {2022},
doi = {10.1007/978-3-031-15471-3_24},
url = {https://doi.org/10.1007/978-3-031-15471-3_24},
researchr = {https://researchr.org/publication/Chacon-Maldonado22},
cites = {0},
citedby = {0},
pages = {274-285},
booktitle = {Hybrid Artificial Intelligent Systems - 17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings},
editor = {Pablo García Bringas and Hilde Pérez García and Francisco Javier Martínez de Pisón and José Ramón Villar Flecha and Alicia Troncoso Lora and Enrique A. de la Cal and Álvaro Herrero 0001 and Francisco Martínez-Álvarez and Giuseppe Psaila and Héctor Quintián and Emilio Corchado},
volume = {13469},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-15471-3},
}