| A lithology identification approach based on machine learning with evolutionary parameter tuning CM Saporetti, LG da Fonseca, E Pereira IEEE Geoscience and Remote Sensing Letters 16 (12), 1819-1823, 2019 | 59 | 2019 |
| Machine learning approaches for petrographic classification of carbonate-siliciclastic rocks using well logs and textural information CM Saporetti, LG da Fonseca, E Pereira, LC de Oliveira Journal of Applied Geophysics 155, 217-225, 2018 | 55 | 2018 |
| Neural network boosted with differential evolution for lithology identification based on well logs information CM Saporetti, L Goliatt, E Pereira Earth Science Informatics 14 (1), 133-140, 2021 | 30 | 2021 |
| Extreme learning machine combined with a differential evolution algorithm for lithology identification CM Saporetti, GR Duarte, TL Fonseca, LG da Fonseca, E Pereira Revista de Informática Teórica e Aplicada 25 (4), 43-56, 2018 | 28 | 2018 |
| Hybrid machine learning models for estimating total organic carbon from mineral constituents in core samples of shale gas fields CM Saporetti, DL Fonseca, LC Oliveira, E Pereira, L Goliatt Marine and Petroleum Geology 143, 105783, 2022 | 22 | 2022 |
| Approaches for the short-term prediction of natural daily streamflows using hybrid machine learning enhanced with grey wolf optimization AD Martinho, CM Saporetti, L Goliatt Hydrological Sciences Journal 68 (1), 16-33, 2023 | 11 | 2023 |
| Global horizontal irradiance modeling from environmental inputs using machine learning with automatic model selection SCA Basílio, CM Saporetti, ZM Yaseen, L Goliatt Environmental Development 44, 100766, 2022 | 6 | 2022 |
| Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields L Goliatt, CM Saporetti, LC Oliveira, E Pereira Petroleum 10 (1), 150-164, 2024 | 5 | 2024 |
| Machine learning with model selection to predict TOC from mineralogical constituents: case study in the Sichuan Basin CM Saporetti, DL Fonseca, LC Oliveira, E Pereira, L Goliatt International Journal of Environmental Science and Technology 20 (2), 1585-1596, 2023 | 5 | 2023 |
| Hybrid machine learning approaches enhanced with grey wolf optimization to short-term prediction of natural daily streamflows A Martinho, C Saporetti, L Goliatt Hydrol. Sci. J 20, 20, 2022 | 5 | 2022 |
| An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling SCA Basílio, CM Saporetti, L Goliatt Neural Computing and Applications 35 (16), 12099-12120, 2023 | 4 | 2023 |
| Hybrid unsupervised extreme learning machine applied to facies identification CM Saporetti, IGL Rosa, RM Carvalho, E Pereira, LG da Fonseca Proceedings of Research and Applications in Artificial Intelligence: RAAI …, 2021 | 4 | 2021 |
| Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection THA Boratto, CM Saporetti, SCA Basilio, AA Cury, L Goliatt Journal of Intelligent Manufacturing 35 (1), 257-273, 2024 | 2 | 2024 |
| Modeling global solar radiation using machine learning with model selection approach: a case study in Tanzania SCA Basílio, RO Silva, CM Saporetti, L Goliatt Mobile Computing and Sustainable Informatics: Proceedings of ICMCSI 2022 …, 2022 | 2 | 2022 |
| An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution RO Silva, CM Saporetti, ZM Yaseen, E Pereira, L Goliatt Neural Computing and Applications 35 (28), 20803-20817, 2023 | 1 | 2023 |
| Comparaçao de métodos de agrupamento para classificaçao de dados petrográficos CM Saporetti, JT CEVOLANI, LC de OLIVEIRA, L GOLIATT, E Pereira XI Simpósio de Mecânica Computacional e II Encontro Mineiro de Modelagem …, 2014 | 1 | 2014 |
| Uso de técnicas de aprendizado de máquina para predição do tempo de graduação dos discentes de Engenharia da Computação na região Sudeste do Brasil B da Silva Macedo, CM Saporetti Revista Brasileira de Computação Aplicada 16 (1), 26-37, 2024 | | 2024 |
| Super learner approach to predict total organic carbon using stacking machine learning models based on well logs L Goliatt, CM Saporetti, E Pereira Fuel 353, 128682, 2023 | | 2023 |
| Analysis of the Impact of the Pandemic on Social Inequalities in Enem 2019 and 2020 using Machine Learning B da Silva Macedo, CM Saporetti Semina: Ciências Exatas e Tecnológicas 44, e48234-e48234, 2023 | | 2023 |
| Computational Intelligence Techniques and Phylogenetic Trees for Identification of Sedimentary Petrofacies CM Saporetti, L Goliatt, LC de Oliveira, E Pereira Anais do XV Encontro Nacional de Inteligência Artificial e Computacional …, 2018 | | 2018 |
