Extreme Learning Machine combined with a Differential Evolution algorithm for lithology identification. - Camila Martins Saporetti; Grasiele Regina Duarte; Tales L. Fonseca; Leonardo Goliatt da Fonseca; Egberto Pereira (RITA, 2018)

A Lithology Identification Approach Based on Machine Learning With Evolutionary Parameter Tuning. - Camila Martins Saporetti; Leonardo Goliatt da Fonseca; Egberto Pereira (IEEE Geosci. Remote. Sens. Lett., 2019)

Neural network boosted with differential evolution for lithology identification based on well logs information. - Camila Martins Saporetti; Leonardo Goliatt; Egberto Pereira (Earth Sci. Informatics, 2021)

An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling. - Samuel da Costa Alves Basilio; Camila Martins Saporetti; Leonardo Goliatt (Neural Comput. Appl., 2023)

An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution. - Rodrigo Oliveira Silva; Camila Martins Saporetti; Zaher Mundher Yaseen; Egberto Pereira; Leonardo Goliatt (Neural Comput. Appl., 2023)

Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection. - Tales H. A. Boratto; Camila Martins Saporetti; Samuel da Costa Alves Basilio; Alexandre A. Cury; Leonardo Goliatt (J. Intell. Manuf., 2024)

Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management. - Tulio J. Francisco; Bruno da Silva Macêdo; Zaher Mundher Yaseen; Nikolay O. Nikitin; Matteo Bodini; Angela Gorgoglione; Camila Martins Saporetti; Leonardo Goliatt (Ecol. Informatics, 2025)

Development of a framework using deep learning for the identification and classification of engagement levels in distance learning students. - Fernando Rodrigues Trindade Ferreira; Loena Marins do Couto; Guilherme de Melo Baptista Domingues; Camila Martins Saporetti (Soc. Netw. Anal. Min., 2025)