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 do 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
JRB Junior, M do Carmo 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
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
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
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
A comparison of machine learning surrogate models for net present value prediction from well placement binary data
JRB Junior, SF Batista Filho, MA Funcia, LOM da Silva, AAS Santos, ...
Journal of Petroleum Science and Engineering 208, 109208, 2022
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
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
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
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