Gene ontology classification: Building high-level knowledge using genetic algorithms. - Laurence Rodrigues do Amaral; Estevam R. Hruschka Jr. (IEEE Congress on Evolutionary Computation, 2010)

Transgenic, an operator for evolutionary algorithms. - Laurence Rodrigues do Amaral; Estevam R. Hruschka Jr. (IEEE Congress on Evolutionary Computation, 2011)

Never-ending learning principles in gene ontology classification using genetic algorithms. - Laurence Rodrigues do Amaral; Estevam Rafael Hruschka Junior (IEEE Congress on Evolutionary Computation, 2012)

Building high level knowledge from high dimensionality biological dataset (NCI60) using Genetic Algorithms and feature selection strategies. - Reslley Gabriel Oliveira Silva; Marcos Wagner de Souza Ribeiro; Laurence Rodrigues do Amaral (IEEE Congress on Evolutionary Computation, 2013)

Aplicando princípios de aprendizado de máquina na construção de um biocurador automático para o Gene Ontology (GO). - Laurence Rodrigues do Amaral (2013)

Transgenic: An evolutionary algorithm operator. - Laurence Rodrigues do Amaral; Estevam R. Hruschka Jr. (Neurocomputing, 2014)

Uma abordagem baseada no ambiente Robocode para ensino de programação no Ensino Médio. - Eliana Pantaleão; Laurence Rodrigues do Amaral; Gláucia Braga e Silva (Revista Brasileira de Informática na Educ., 2017)

An Evolutionary-Cooperative Model Based on Cellular Automata and Genetic Algorithms for the Navigation of Robots Under Formation Control. - Gina M. B. Oliveira; Reslley G. O. Silva; Laurence Rodrigues do Amaral; Luiz Gustavo Almeida Martins (BRACIS, 2018)

Multiple Disjunctions Rule Genetic Algorithm (MDRGA): Inferring Non-Linear IF-THEN Rules in Non-Linear Datasets. - Maicon Douglas Santos Matos; Laurence Rodrigues do Amaral (CEC, 2018)

A Cellular Automata-Based Path-Planning for a Cooperative and Decentralized Team of Robots. - Gina M. B. Oliveira; Reslley G. O. Silva; Giordano B. S. Ferreira; Micael S. Couceiro; Laurence Rodrigues do Amaral; Patrícia Amâncio Vargas; Luiz Gustavo Almeida Martins (CEC, 2019)

IG-CEE: An Embedded Information Gain approach to Genetic Algorithms. - Alexandre Henrick da Silva Alves; Raphael de Lima Mendes; Matheus de Souza Gomes; Pedro Luiz Lima Bertarini; Laurence Rodrigues do Amaral (CEC, 2021)

Applying Never-Ending Learning (NEL) Principles to Build a Gene Ontology (GO) Biocurator. - Laurence Rodrigues do Amaral; Alexandre Henrick da Silva Alves; Raphael de Lima Mendes; Matheus de Souza Gomes; Pedro Luiz Lima Bertarini; Estevam Rafael Hruschka (CEC, 2021)

gaCNN: Composing CNNs and GAs to Build an Optimized Hybrid Classification Architecture. - Raphael de Lima Mendes; Alexandre Henrick da Silva Alves; Matheus de Souza Gomes; Pedro Luiz Lima Bertarini; Laurence Rodrigues do Amaral (CEC, 2021)

Many Layer Transfer Learning Genetic Algorithm (MLTLGA): a New Evolutionary Transfer Learning Approach Applied To Pneumonia Classification. - Raphael de Lima Mendes; Alexandre Henrick da Silva Alves; Matheus de Souza Gomes; Pedro Luiz Lima Bertarini; Laurence Rodrigues do Amaral (CEC, 2021)

Nitrogen variability assessment of pasture fields under an integrated crop-livestock system using UAV, PlanetScope, and Sentinel-2 data. - Francisco R. S. Pereira; J. P. de Lima; Rodrigo G. Freitas; Aliny A. Dos Reis; Laurence Rodrigues do Amaral; Gleyce Kelly Dantas Araújo Figueiredo; Rubens A. C. Lamparelli; Paulo Sergio Graziano Magalhães (Comput. Electron. Agric., 2022)

Documenting Bioinformatics Software Via Reverse Engineering. - Vinicius Soares Silva Marques; Laurence Rodrigues do Amaral (CoRR, 2023)