| 2021 | EPIA | Multitask Learning for Predicting Natural Flows: A Case Study at Paraiba do Sul River. | Gabriel Dias de Abreu, Letcia Florentino Pires, Luciana Conceio Dias Campos, Leonardo Goliatt |
| 2021 | EPIA | Automatic Evolutionary Settings of Machine Learning Methods for Buildings' Thermal Loads Prediction. | Gisele Goulart Tavares, Priscila V. S. Z. Capriles, Leonardo Goliatt |
| 2020 | ISDA | Hybrid Extreme Learning Machine and Backpropagation with Adaptive Activation Functions for Classification Problems. | Tales L. Fonseca, Leonardo Goliatt |
| 2020 | ISDA | Automated Extreme Learning Machine to Forecast the Monthly Flows: A Case Study at Zambezi River. | Alfeu D. Martinho, Tales L. Fonseca, Leonardo Goliatt |
| 2020 | ISDA | A Extreme Gradient Boosting Classifier for Predicting Chronic Kidney Disease Stages. | Joo P. Scoralick, Gabriele C. Iwashima, Fernando Antonio Basile Colugnati, Leonardo Goliatt, Priscila V. S. Z. Capriles |
| 2019 | EPIA | Gradient Boosting Ensembles for Predicting Heating and Cooling Loads in Building Design. | Leonardo Goliatt, Priscila V. S. Z. Capriles, Gisele Goulart Tavares |
| 2017 | ICCSA | A Differential Evolution Algorithm for Computing Caloric-Restricted Diets - Island-Based Model. | Joo Gabriel Rocha Silva, Iago Augusto de Carvalho, Leonardo Goliatt, Vincius da Fonseca Vieira, Carolina Ribeiro Xavier |