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    Selected Publications

 

        2016

[21] E. M. Oliveira, D. S. Leme, B. H. G. Barbosa, M. P. Rodarte
A computer vision system for coffe beans classification based on computational intelligence techniques
Journal of Food Engineering, v. 171, p. 22-27, 2016. DOI

[20] R. Naves, B. H. G. Barbosa, D. Ferreira
Classification of Lung Sounds using Higher-Order Statistics: A Divide-and-Conquer Approach
Computer Methods and Programs in Biomedicine, v. 129. p. 12-20, 2016. DOI

 

2015

[19] R. R. Magalhaes, R. A. Braga, B. H. G. Barbosa
Young-s Modulus Evaluation using Particle Image Velocimetry and Finite Element Inverse Analysis
Optics and Lasers in Engineering, v. 70, p. 33-37, 2015. DOI

[18] D. Leite, R. M. Palhares, V. C. S. Campos, F. Gomide
Evolving Granular Fuzzy Model-Based Control of Nonlinear Dynamic Systems
IEEE Transactions on Fuzzy Systems, v. 23, p. 923-938, 2015. DOI

[17] D. Ferreira, J. de Seixas, A. Cerqueira, C. Duque, M. Bollen, P. Ribeiro
A new power quality deviation index based on principal curves
Electric Power Systems Research, v. 125, p. 8-14, 2015. DOI

[16] D. Leite, F. Gomide
Incremental Granular Fuzzy Modeling using Imprecise Data Streams.
In: Dan Tamir, Naphtali Rishe, Abraham Kandel (Org.). Fifty Years of Fuzzy Logic and Its Applications. 1ed, Switzerland: Springer, v. 326, p. 107-124, 2015. DOI

[15] D. Ferreira, J. Seixas, A. Cerqueira
A method based on independent component analysis for single and multiple power quality disturbance classification
Electric Power Systems Research, v. 119, p. 425-431, 2015. DOI

[14] D. Ferreira, E. Nagata, S. Ferreira, J. Seixas, C. Duque, C. Marques, J. Guedes, A. Cerqueira
Method based on independent component analysis for harmonic extraction from power system signals
Electric Power Systems Research, v. 119, p. 19-24, 2015. DOI

 

2014

 

[13] D. Ferreira, T. M. Mendes, J. M. Seixas, A. S. Cerqueira, A. M. Sá
Independent component analysis-based method for electroencephalogram analysis during photic stimulation
Journal of Neuroscience Methods, v. 235, p. 252-261, 2014. DOI

[12] R. N. Silva, B. H. G. Barbosa, D. Ferreira, A. C. B. H. Ferreira
Non-invasive method to analyse the risk of developing diabetic foot
Healthcare Technology Letters, v. 1, p. 109-113, 2014. DOI

 

2013

 

[11] B. G. Barbosa, D. Ferreira
Classification of Multiple and Single Power Quality Disturbances Using a Decision Tree-Based Approach
Journal of Control, Automation and Electrical Systems, v. 24, p. 1-11, 2013. DOI

[10] D. Ferreira, J. M. Seixas, A. S. Cerqueira, C. A. Duque
Exploiting principal curves for power quality monitoring
Electric Power Systems Research, v. 100, p. 1-6, 2013. DOI

 

2012

 

[9] D. Leite, P. Costa, F. Gomide
Evolving granular neural networks from fuzzy data streams
Neural Networks, v. 38, p. 1-16, 2012. DOI  

[8] D. Leite, P. Costa, F. Gomide, R. Ballini
Evolving fuzzy granular modeling from nonstationary fuzzy data streams
Evolving Systems, v. 3, p. 65-79, 2012. DOI  

 

2011

 

[7] B. G. Barbosa, L. T. Bui, H. A. Abbass, L. A. Aguirre, A. P. Braga
The use of coevolution and the artificial immune system for ensemble learning
Soft Computing: Berlin, v. 15, p. 1735-1747, 2011. DOI  

[6] D. Leite, F. Gomide
Evolving Linguistic Fuzzy Models from Data Streams
In: E. Trillas, P. Bonissone, L. Magdalena, J. Kacprzyk (Org.) Combining Experimentation and Theory: A Hommage to Abe Mamdani (Studies in Fuzziness and Soft Computing). Springer, v. 1, p. 209-223, 2011. Link  

[5] B. H. G. Barbosa, L. A. Aguirre, C. B. Martinez, A. P. Braga
Black and Gray-Box Identification of a Hydraulic Pumping System
IEEE Transactions on Control Systems Technology, v. 19, p. 398-406, 2011. DOI

[4] D. Leite, P. Costa, F. Gomide
Interval Approach for Evolving Granular System Modeling
In: M. Mouchaweh, E. Lughofer (Org.) Learning in Non-stationary Environments: Methods and Applications. Springer: New York, v. 1, p. 271-300, 2011. Link  


2010

[3] L. A. Aguirre, B. H. G. Barbosa, A. P. Braga
Prediction and simulation errors in parameter estimation for nonlinear systems
Mechanical Systems and Signal Processing, v. 24, p. 2855-2867, 2010. DOI

[2] D. Leite, P. Costa Jr., F. Gomide
Granular Approach for Evolving Systems Modeling
In: E. Hullermeier, R. Kruse, F. Hoffmann (Eds.) Lecture Notes in Computer Science, v. 6178, p. 340-349, 2010. Link


2009

[1] D. Leite, M. Hell, P. Costa Jr., F. Gomide
Real-Time Fault Diagnosis of Nonlinear Systems
Nonlinear Analysis, v. 71, p. 2665-2673, 2009. DOI

 

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