| An iterative boosting-based ensemble for streaming data classification JRB Junior, M do Carmo Nicoletti Information Fusion 45, 66-78, 2019 | 61 | 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 | 52 | 2011 |
| Constructive neural networks L Franco, JM Jerez Springer, 2009 | 36 | 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 | 33 | 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 | 32 | 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 | 30 | 2013 |
| Chaotic synchronization in general network topology for scene segmentation L Zhao, TH Cupertino, JR Bertini Jr Neurocomputing 71 (16-18), 3360-3366, 2008 | 26 | 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 | 22 | 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 | 18 | 2016 |
| Classification based on the optimal k-associated network AA Lopes, JR Bertini, R Motta, L Zhao Complex Sciences, 1167-1177, 2009 | 17 | 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 | 14 | 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 | 14 | 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 | 13 | 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 | 12 | 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 | 11 | 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 | 8 | 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 | 8 | 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 | 7 | 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 | 7 | 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 | 6 | 2014 |
