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Works (14)

Classification of Obesity Level Using Deep Neural Networks

2024 | Book chapter
Contributors: Paulo Henrique Ponte de Lucena; Lídio Mauro Lima de Campos
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Predictive Performance of Machine Learning Algorithms Regarding Obesity Levels Based on Physical Activity and Nutritional Habits: A Comprehensive Analysis

IEEE Latin America Transactions
2024-09 | Journal article
Contributors: Paulo Henrique Ponte de Lucena; Lidio Mauro Lima de Campos; Jonathan Cris Pinheiro Garcia
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Deep Learning Applied to ERP in the Search for Spatial Intelligence Signatures

2023 | Book chapter
Contributors: Ábner Lucas Alves Pereira; Lidio Mauro Lima de Campos
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Time Series Forecast Applied to Electricity Consumption

2023 | Book chapter
Contributors: Lídio Mauro Lima de Campos
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Prediction of Wind Speed Time Series in Brazil

2022 | Book chapter
Contributors: Yann Fabricio Cardoso de Figueiredo; Lídio Mauro Lima de Campos
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Machine Learning for Wind Power Forecasting

2021-07-18 | Conference paper
Contributors: Yann Fabricio Cardoso De Figueiredo; Lidio Mauro Lima De Campos
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Evolving deep neural networks for Time Series Forecasting

Learning and Nonlinear Models
2021-06-30 | Journal article
Contributors: Lídio Mauro Lima Campos; Jherson Haryson Almeida Pereira; Danilo Souza Duarte; Roberto Célio Limão Oliveira
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A hybrid neuro-evolutive algorithm for neural network optimization

Proceedings of the International Joint Conference on Neural Networks
2016 | Conference paper
EID:

2-s2.0-85007233419

Contributors: De Campos, L.M.L.; De Oliveira, R.C.L.; Roisenberg, M.
Source: Self-asserted source
LIDIO MAURO LIMA DE CAMPOS via Scopus - Elsevier

Optimization of neural networks through grammatical evolution and a genetic algorithm

Expert Systems with Applications
2016 | Journal article
EID:

2-s2.0-84962738944

Contributors: De Campos, L.M.L.; De Oliveira, R.C.L.; Roisenberg, M.
Source: Self-asserted source
LIDIO MAURO LIMA DE CAMPOS via Scopus - Elsevier

Evolving Artificial Neural Networks through L-system and evolutionary computation

Proceedings of the International Joint Conference on Neural Networks
2015 | Conference paper
EID:

2-s2.0-84951159771

Contributors: De Campos, L.M.L.; De Oliveira, R.C.L.; Roisenberg, M.
Source: Self-asserted source
LIDIO MAURO LIMA DE CAMPOS via Scopus - Elsevier

A comparative analysis of methodologies for automatic design of artificial neural networks from the beginnings until today

Proceedings - 1st BRICS Countries Congress on Computational Intelligence, BRICS-CCI 2013
2013 | Conference paper
EID:

2-s2.0-84905403214

Contributors: De Campos, L.M.L.; De Oliveira, R.C.L.
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LIDIO MAURO LIMA DE CAMPOS via Scopus - Elsevier

Network Intrusion Detection System Using Data Mining

Communications in Computer and Information Science
2012 | Book
EID:

2-s2.0-84880592449

Contributors: de Campos, L.M.L.; de Oliveira, R.C.L.; Roisenberg, M.
Source: Self-asserted source
LIDIO MAURO LIMA DE CAMPOS via Scopus - Elsevier

Automatic design of Neural Networks with L-Systems and genetic algorithms - A biologically inspired methodology

Proceedings of the International Joint Conference on Neural Networks
2011 | Conference paper
EID:

2-s2.0-80054736923

Contributors: De Campos, L.M.L.; Roisenberg, M.; De Oliveira, R.C.L.
Source: Self-asserted source
LIDIO MAURO LIMA DE CAMPOS via Scopus - Elsevier

A biologically inspired methodology for neural networks design

2004 IEEE Conference on Cybernetics and Intelligent Systems
2004 | Conference paper
EID:

2-s2.0-11244316587

Contributors: De Campos, L.M.L.; Roisenberg, M.; Barreto, J.M.
Source: Self-asserted source
LIDIO MAURO LIMA DE CAMPOS via Scopus - Elsevier