| Performance comparison of classifiers in the detection of short circuit incipient fault in a three-phase induction motor DN Coelho, GA Barreto, CMS Medeiros, JDA Santos 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions …, 2014 | 29 | 2014 |
| Novel sparse LSSVR models in primal weight space for robust system identification with outliers JDA Santos, GA Barreto Journal of Process Control 67, 129-140, 2018 | 24 | 2018 |
| An outlier-robust kernel RLS algorithm for nonlinear system identification JDA Santos, GA Barreto Nonlinear Dynamics 90 (3), 1707-1726, 2017 | 22 | 2017 |
| A regularized estimation framework for online sparse LSSVR models JDA Santos, GA Barreto Neurocomputing 238, 114-125, 2017 | 18 | 2017 |
| A novel approach based on pattern recognition techniques to evaluate magnetic properties of a non-grain oriented electrical steel in the secondary recrystallization process LM Duarte, JD de Alencar Santos, FNC Freitas, PP Reboucas Filho, ... Measurement 167, 108135, 2021 | 9 | 2021 |
| An empirical evaluation of robust Gaussian process models for system identification CLC Mattos, JDA Santos, GA Barreto International Conference on Intelligent Data Engineering and Automated …, 2015 | 9 | 2015 |
| Estimating the number of hidden neurons of the MLP using singular value decomposition and principal components analysis: a novel approach JDA Santos, GA Barreto, CMS Medeiros 2010 Eleventh Brazilian Symposium on Neural Networks, 19-24, 2010 | 9 | 2010 |
| Performance evaluation of least squares SVR in robust dynamical system identification JDA Santos, CLC Mattos, GA Barreto Advances in Computational Intelligence: 13th International Work-Conference …, 2015 | 3 | 2015 |
| A novel recursive solution to ls-svr for robust identification of dynamical systems JDA Santos, GA Barreto International Conference on Intelligent Data Engineering and Automated …, 2015 | 2 | 2015 |
| Adaptive Kernel-based regression for robust system Identification JDA Santos | 1 | 2017 |
| Improved adaline networks for robust pattern classification CLC Mattos, JDA Santos, GA Barreto Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014 | 1 | 2014 |
| A new proposal for energy efficiency in industrial manufacturing systems based on machine learning techniques RCC Lima, LAV de Oliveira, SPP da Silva, JD de Alencar Santos, ... Journal of Manufacturing Systems 77, 1062-1076, 2024 | | 2024 |
| Predicting Energy Consumption Data Using Deep Learning: An LSTM Approach JM Chaves, EF Ohata, MA dos Santos, JD de Alencar Santos, ... Brazilian Conference on Intelligent Systems, 296-308, 2024 | | 2024 |
| Automatic Evaluation of the Mechanical Properties of Steels Maraging using Digital Image Processing Techniques AA Viana, SL Rabelo, JD de Alencar Santos, VX de Lima Filho, ... Conference on Graphics, Patterns and Images (SIBGRAPI), 211-218, 2020 | | 2020 |
| ESTUDO DA PREDIÇÃO DE VELOCIDADE DOS VENTOS EM UM PARQUE EÓLICO NO LITORAL CEARENSE RAG de Castro, JDDEA SANTOS, RFB dos Santos Congresso Brasileiro de Automática-CBA 1 (1), 2019 | | 2019 |
| A Novel Recursive Kernel-Based Algorithm for Robust Pattern Classification JDA Santos, CLC Mattos, GA Barreto Intelligent Data Engineering and Automated Learning–IDEAL 2014: 15th …, 2014 | | 2014 |
| UMA NOVA TÉCNICA DE ESTIMACAO DE NEURˆONIOS OCULTOS DA REDE MLP USANDO DECOMPOSICAO EM VALORES SINGULARES E ANALISE DE COMPONENTES PRINCIPAIS JDA Santos, GA Barreto, CMS Medeiros | | |
| UMA AVALIACAO EMPÍRICA DE MODELOS DE PROCESSOS GAUSSIANOS PARA IDENTIFICACAO ROBUSTA DE SISTEMAS DINˆAMICOS CLC Mattos, JDA Santos, GA Barreto | | |
| UMA NOVA SOLUCAO RECURSIVA PARA LS-SVR EM IDENTIFICACAO ROBUSTA DE SISTEMAS DINˆAMICOS JD de Alencar Santos, G de Alencar Barreto | | |
| ESTUDO COMPARATIVO DE MÉTODOS DE EXTRAÇÃO DE CARACTERÍSTICAS PARA CLAS-SIFICAÇÃO DA QUALIDADE DE PELES DE CAPRINOS COM OPÇÃO DE REJEIÇÃO QSF EDMILSON, JDA SANTOS, GA BARRETO | | |
Guilherme A. BarretoDepartment of Teleinformatics Engineering, Federal University of CearáПотвърден имейл адрес: ufc.br