| Redes neurais artificiais: teoria e aplicações AP Braga, A Carvalho, TB Ludermir Livros Técnicos e Científicos, 2000 | 1385 | 2000 |
| Novel cost-sensitive approach to improve the multilayer perceptron performance on imbalanced data CL Castro, AP Braga IEEE transactions on neural networks and learning systems 24 (6), 888-899, 2013 | 267 | 2013 |
| Learning from imbalanced data sets with weighted cross-entropy function YS Aurelio, GM De Almeida, CL de Castro, AP Braga Neural processing letters 50, 1937-1949, 2019 | 231 | 2019 |
| SVM-KM: speeding SVMs learning with a priori cluster selection and k-means MB De Almeida, A de Pádua Braga, JP Braga Proceedings. Vol. 1. Sixth Brazilian Symposium on Neural Networks, 162-167, 2000 | 190 | 2000 |
| Improving generalization of MLPs with multi-objective optimization R de Albuquerque Teixeira, AP Braga, RHC Takahashi, RR Saldanha Neurocomputing 35 (1-4), 189-194, 2000 | 155 | 2000 |
| Weightless neural models: a review of current and past works TB Ludermir, ACPLF Carvalho, AP Braga, MCP De Souto Neural Computing Surveys 2, 41-61, 1999 | 145 | 1999 |
| Intelligent thermographic diagnostic applied to surge arresters: a new approach CAL Almeida, AP Braga, S Nascimento, V Paiva, HJA Martins, R Torres, ... IEEE Transactions on power delivery 24 (2), 751-757, 2009 | 139 | 2009 |
| Sliding mode algorithm for training multilayer artificial neural networks GG Parma, BR Menezes, AP Braga Electronics Letters 34 (1), 97-98, 1998 | 113 | 1998 |
| Redes neurais artificiais AP Braga, A Carvalho, TB Ludermir Teoria e Aplicaçoes, 2000 | 92 | 2000 |
| Improving generalization of MLPs with sliding mode control and the Levenberg–Marquardt algorithm MA Costa, A de Pádua Braga, BR de Menezes Neurocomputing 70 (7-9), 1342-1347, 2007 | 91 | 2007 |
| Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification VR Carvalho, MFD Moraes, AP Braga, EMAM Mendes Biomedical Signal Processing and Control 62, 102073, 2020 | 80 | 2020 |
| Black and gray-box identification of a hydraulic pumping system BHG Barbosa, LA Aguirre, CB Martinez, AP Braga IEEE Transactions on control systems technology 19 (2), 398-406, 2010 | 66 | 2010 |
| An efficient multi-objective learning algorithm for RBF neural network I Kokshenev, AP Braga Neurocomputing 73 (16-18), 2799-2808, 2010 | 55 | 2010 |
| Training neural networks with a multi-objective sliding mode control algorithm MA Costa, AP Braga, BR Menezes, RA Teixeira, GG Parma Neurocomputing 51, 467-473, 2003 | 54 | 2003 |
| Prediction and simulation errors in parameter estimation for nonlinear systems LA Aguirre, BHG Barbosa, AP Braga Mechanical Systems and Signal Processing 24 (8), 2855-2867, 2010 | 50 | 2010 |
| Sliding mode neural network control of an induction motor drive GG Parma, BR Menezes, AP Braga, MA Costa International Journal of Adaptive Control and Signal Processing 17 (6), 501-508, 2003 | 49 | 2003 |
| Artificial neural networks: theory and applications AP Braga, APL Carvalho, TB Ludermir LTC Editora, Rio de Janeiro,, 2000 | 48* | 2000 |
| Reinforcement learning of a simple control task using the spike response model MS de Queiroz, RC de Berrêdo, A de Pádua Braga Neurocomputing 70 (1-3), 14-20, 2006 | 47 | 2006 |
| Evolutionary radial basis functions for credit assessment E Lacerda, AC Carvalho, AP Braga, TB Ludermir Applied Intelligence 22, 167-181, 2005 | 46 | 2005 |
| A multi-objective approach to RBF network learning I Kokshenev, AP Braga Neurocomputing 71 (7-9), 1203-1209, 2008 | 40 | 2008 |
