MOAFS: A Massive Online Analysis library for feature selection in data streams. - Matheus Bernardelli de Moraes; André Leon S. Gradvohl (J. Open Source Softw., 2020)

A comparative study of feature selection methods for binary text streams classification. - Matheus Bernardelli de Moraes; André Leon Sampaio Gradvohl (Evol. Syst., 2021)

A Random Forest-Assisted Decomposition-Based Evolutionary Algorithm for Multi-Objective Combinatorial Optimization Problems. - Matheus Bernardelli de Moraes; Guilherme Palermo Coelho (CEC, 2022)

A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D. - Matheus Bernardelli de Moraes; Guilherme Palermo Coelho (Expert Syst. Appl., 2022)

A benchmark generator for scenario-based discrete optimization. - Matheus Bernardelli de Moraes; Guilherme Palermo Coelho (Comput. Optim. Appl., 2024)