Automatic design of Neural Networks with L-Systems and genetic algorithms - A biologically inspired methodology. - Lídio Mauro Lima de Campos; Mauro Roisenberg; Roberto Célio Limão de Oliveira (IJCNN, 2011)

Network Intrusion Detection System Using Data Mining. - Lídio Mauro Lima de Campos; Roberto Célio Limão de Oliveira; Mauro Roisenberg (EANN, 2012)

Evolving Artificial Neural Networks through L-system and evolutionary computation. - Lídio Mauro Lima de Campos; Roberto Célio Limão de Oliveira; Mauro Roisenberg (IJCNN, 2015)

A hybrid neuro-evolutive algorithm for neural network optimization. - Lídio Mauro Lima de Campos; Roberto Célio Limão de Oliveira; Mauro Roisenberg (IJCNN, 2016)

Optimization of neural networks through grammatical evolution and a genetic algorithm. - Lídio Mauro Lima de Campos; Roberto Célio Limão de Oliveira; Mauro Roisenberg (Expert Syst. Appl., 2016)

Optimization strategy of neural networks based on rational agents. - Lídio Mauro Lima de Campos (Int. J. Hybrid Intell. Syst., 2017)

A Neurogenetic Algorithm Based on Rational Agents. - Lídio Mauro Lima de Campos; Roberto Célio Limão de Oliveira; Gustavo Augusto Lima de Campos (Comput. Informatics, 2018)

Wind Power Multi-step Predictions in Northeastern Brazilian Regions Using Artificial Neural Networks. - Yann Fabricio Cardoso de Figueiredo; Lídio Mauro Lima de Campos (HIS, 2020)

Bio-Inspired System for Electricity Price Forecast in the Brazilian Market. - Lídio Mauro Lima de Campos; Jherson Haryson Almeida Pereira; Danilo Souza Duarte; Roberto Célio Limão de Oliveira (IJCNN, 2020)

Machine Learning for Wind Power Forecasting. - Yann Fabricio Cardoso de Figueiredo; Lídio Mauro Lima de Campos (IJCNN, 2021)

Aplicação de Algoritmos de Aprendizado de Máquina para Detecção de Intrusão. - Eliel Dos S. Bentes; Yann Fabricio Cardoso de Figueiredo; Lídio M. L. de Campos (SBRC Companion, 2021)

Time Series Forecast Applied to Electricity Consumption. - Lídio Mauro Lima de Campos (ISDA (1), 2022)