Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning. - Andrés Manuel Chacón-Maldonado; Miguel Angel Molina-Cabanillas; Alicia Troncoso; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés (HAIS, 2022)

Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning. - Andrés Manuel Chacón-Maldonado; A. R. Troncoso-García; Francisco Martínez-Álvarez; Gualberto Asencio-Cortés; Alicia Troncoso (SOCO (2), 2023)

FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer. - Andrés Manuel Chacón-Maldonado; Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; Alicia Troncoso (SoftwareX, 2023)

A multimodal hybrid deep learning approach for pest forecasting using time series and satellite images. - Andrés Manuel Chacón-Maldonado; Gualberto Asencio-Cortés; Alicia Troncoso (Inf. Fusion, 2025)

A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting. - Andrés Manuel Chacón-Maldonado; Laura Melgar-García; Gualberto Asencio-Cortés; Alicia Troncoso (Neural Comput. Appl., 2025)