João Roberto Bertini Junior
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An iterative boosting-based ensemble for streaming data classification
JRB Junior, M do Carmo Nicoletti
Information Fusion 45, 66-78, 2019
A nonparametric classification method based on k-associated graphs
JR Bertini Jr, L Zhao, R Motta, A de Andrade Lopes
Information Sciences 181 (24), 5435-5456, 2011
Constructive neural networks
L Franco, JM Jerez
Springer, 2009
An empirical evaluation of constructive neural network algorithms in classification tasks
MC Nicoletti, JR Bertini Jr
International Journal of Innovative computing and applications 1 (1), 2-13, 2007
Constructive neural network algorithms for feedforward architectures suitable for classification tasks
M Carmo Nicoletti, JR Bertini, D Elizondo, L Franco, JM Jerez
Constructive neural networks, 1-23, 2009
An incremental learning algorithm based on the K-associated graph for non-stationary data classification
JR Bertini Jr, L Zhao, AA Lopes
Information Sciences 246, 52-68, 2013
Chaotic synchronization in general network topology for scene segmentation
L Zhao, TH Cupertino, JR Bertini Jr
Neurocomputing 71 (16-18), 3360-3366, 2008
Partially labeled data stream classification with the semi-supervised K-associated graph
JR Bertini, AA Lopes, L Zhao
Journal of the Brazilian Computer Society, 1-12, 2012
Enhancing constructive neural network performance using functionally expanded input data
JR Bertini Jr, MC do Nicoletti
Journal of Artificial Intelligence and Soft Computing Research 6 (2), 119--131, 2016
Classification based on the optimal k-associated network
AA Lopes, JR Bertini, R Motta, L Zhao
Complex Sciences, 1167-1177, 2009
Online filtering of CO 2 signals from a bioreactor gas outflow using a committee of constructive neural networks
RC Giordano, JR Bertini, MC Nicoletti, RLC Giordano
Bioprocess and biosystems engineering 31 (2), 101-109, 2008
An embedded imputation method via attribute-based decision graphs
JRB Junior, M do Carmo Nicoletti, L Zhao
Expert Systems with Applications 57, 159-177, 2016
Attribute-based decision graphs: a framework for multiclass data classification
JRB Junior, M do Carmo Nicoletti, L Zhao
Neural Networks 85, 69-84, 2017
Ensemble of complete p-partite graph classifiers for non-stationary environments
JR Bertini, M do Carmo Nicoletti, L Zhao
2013 IEEE Congress on Evolutionary Computation, 1802-1809, 2013
A constructive neural network algorithm based on the geometric concept of barycenter of convex hull
JR Bertini Jr, MC Nicoletti
Computational Intelligence: Methods and Applications, Academic Publishing …, 2008
Attribute-based decision graphs for multiclass data classification
JR Bertini, M do Carmo Nicoletti, L Zhao
2013 IEEE Congress on Evolutionary Computation, 1779-1785, 2013
MBabCoNN–A multiclass version of a constructive neural network algorithm based on linear separability and convex hull
J Bertini, M do Carmo Nicoletti
Artificial Neural Networks-ICANN 2008, 723-733, 2008
Stock closing price forecasting using ensembles of constructive neural networks
RS João, TF Guidoni, JR Bertini, M do Carmo Nicoletti, AO Artero
2014 Brazilian Conference on Intelligent Systems, 109-114, 2014
Methodology for Inferring Kinetic Parameters of Diesel Oil HDS Reactions Based on Scarce Experimental Data
AS Ferreira, MC Nicoletti, JR Bertini Jr, RC Giordano
Computers & Chemical Engineering, 2012
A comparative evaluation of constructive neural networks methods using PRM and BCP as TLU training algorithms
JR Bertini, M do Carmo Nicoletti, ER Hruschka
2006 IEEE International Conference on Systems, Man and Cybernetics 4, 3497-3502, 2006
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