| Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists VC de Castilho, MK El Debs, M do Carmo Nicoletti Engineering Applications of Artificial Intelligence 20 (4), 519-530, 2007 | 52 | 2007 |
| Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop GM Bressan, VA Oliveira, ER Hruschka Jr, MC Nicoletti Engineering Applications of Artificial Intelligence 22 (4-5), 579-592, 2009 | 45 | 2009 |
| Automatic learning of image filters using Cartesian genetic programming PCD Paris, EC Pedrino, MC Nicoletti Integrated Computer-Aided Engineering 22 (2), 135-151, 2015 | 40 | 2015 |
| A genetic programming based system for the automatic construction of image filters EC Pedrino, VO Roda, ERR Kato, JH Saito, ML Tronco, RH Tsunaki, ... Integrated Computer-Aided Engineering 20 (3), 275-287, 2013 | 36 | 2013 |
| Feature-weighted k-nearest neighbor classifier DP Vivencio, ER Hruschka, MC Nicoletti, EB Dantos, S Galvao 2007 IEEE Symposium on Foundations of Computational Intelligence (FOCI 2007 …, 2007 | 35 | 2007 |
| 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 | 32 | 2007 |
| Constructive neural networks L Franco, DA Elizondo, JM Jerez Springer Verlag, 2009 | 31 | 2009 |
| An iterative boosting-based ensemble for streaming data classification JRB Junior, M do Carmo Nicoletti Information Fusion 45, 66-78, 2019 | 30 | 2019 |
| Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control MC Nicoletti, LC Jain Springer Verlag 218, 341, 2009 | 30* | 2009 |
| Computational intelligence techniques as tools for bioprocess modelling, optimization, supervision and control MC Nicoletti, LC Jain, RC Giordano Computational Intelligence Techniques for Bioprocess Modelling, Supervision …, 2009 | 30 | 2009 |
| Constructive neural network algorithms for feedforward architectures suitable for classification tasks M do Carmo Nicoletti, J Bertini, D Elizondo, L Franco, J Jerez Constructive Neural Networks, 1-23, 2009 | 27 | 2009 |
| Fundamentos da teoria de conjuntos fuzzy MC Nicoletti, HA Camargo Série Apontamentos, Edufscar, 2004 | 27 | 2004 |
| Quantitative correlation between ability to compute and student performance in a primary school OL de Oliveira, MC Nicoletti, LMV Cura SIGCSE 2014, 505-510, 2014 | 19 | 2014 |
| Rough relation properties M do Carmo Nicoletti, JQ Uchôa, MTZ Baptistini Int. J. Appl. Math. Comput. Sci 11 (3), 621-635, 2001 | 18 | 2001 |
| An investigation of the use of three selection-based genetic algorithm families when minimizing the production cost of hollow core slabs VC de Castilho, M Carmo Nicoletti, MK El Debs Computer Methods in Applied Mechanics and Engineering 194 (45), 4651-4667, 2005 | 17 | 2005 |
| 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 | 16 | 2016 |
| Ampliando os limites do aprendizado indutivo de máquina através das abordagens construtiva e relacional (Ph. D. Thesis) MC Nicoletti Biblioteca Digital de Teses e Dissertações da USP, 1994 | 15* | 1994 |
| 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 | 13 | 2008 |
| A hardware oriented ad-hoc computer-based method for binary structuring element decomposition based on genetic algorithms PE Pillon, EC Pedrino, VO Roda, MC Nicoletti Integrated Computer-Aided Engineering 23 (4), 369-383, 2016 | 12 | 2016 |
| Improving a Pittsburgh learnt fuzzy rule base using feature subset selection PAD de Castro, DM Santoro, HA Camargo, MC Nicoletti Hybrid Intelligent Systems, 2004. HIS'04. Fourth International Conference on …, 2004 | 12 | 2004 |
