| Revisiting the Tinto's Theoretical Dropout Model MC Nicoletti Higher Education Studies 9 (3), 52-64, 2019 | 161 | 2019 |
| An iterative boosting-based ensemble for streaming data classification JRB Junior, M do Carmo Nicoletti Information Fusion 45, 66-78, 2019 | 80 | 2019 |
| 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 | 64 | 2009 |
| 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 | 55 | 2007 |
| Automatic learning of image filters using Cartesian genetic programming PCD Paris, EC Pedrino, MC Nicoletti Integrated Computer-Aided Engineering 22 (2), 135-151, 2015 | 52 | 2015 |
| 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 | 50 | 2007 |
| Constructive neural networks L Franco, DA Elizondo, JM Jerez Springer Verlag, 2009 | 43* | 2009 |
| Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control MC Nicoletti, LC Jain Springer Verlag 218, 341, 2009 | 41* | 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 | 39 | 2009 |
| 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 | 38 | 2013 |
| Fundamentos da teoria de conjuntos fuzzy MC Nicoletti, HA Camargo Série Apontamentos, Edufscar, 2004 | 38 | 2004 |
| 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 | 36 | 2007 |
| Otimização de componentes de concreto pré-moldado protendidos mediante algoritmos genéticos VC Castilho Escola de Engenharia de São Carlos, Universidade de São Paulo. São Carlos, 2003 | 28 | 2003 |
| 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 | 27 | 2014 |
| 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 | 25 | 2005 |
| Rough relation properties M do Carmo Nicoletti, JQ Uchôa, MTZ Baptistini Int. J. Appl. Math. Comput. Sci 11 (3), 621-635, 2001 | 25* | 2001 |
| Constructive neural network algorithms for feedforward architectures suitable for classification tasks MC Nicoletti, JR Bertini, D Elizondo, L Franco, JM Jerez Constructive neural networks, 2009 | 24 | 2009 |
| Solar flare detection system based on tolerance near sets in a GPU–CUDA framework G Poli, E Llapa, JR Cecatto, JH Saito, JF Peters, S Ramanna, MC Nicoletti Knowledge-Based Systems 70, 345-360, 2014 | 22 | 2014 |
| Fundamentos da Teoria dos Grafos para Computação MC Nicoletti, E Hrushcka Jr Livros Técnicos e Científicos Editora Ltda. (LTC). Grupo Editorial Nacional …, 2018 | 18* | 2018 |
| Enhancing constructive neural network performance using functionally expanded input data JR Bertini, Jr, M Carmo Nicoletti, do Journal of Artificial Intelligence and Soft Computing Research 6 (2), 119-131, 2016 | 18 | 2016 |
