2008 | ||
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41 | EE | Antônio de Pádua Braga, Euler G. Horta, René Natowicz, Roman Rouzier, Roberto Incitti, Thiago S. Rodrigues, Marcelo Azevedo Costa, Carmen D. M. Pataro, Arben Çela: Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy. ANNPR 2008: 263-266 |
40 | EE | René Natowicz, Antônio de Pádua Braga, Roberto Incitti, Euler G. Horta, Roman Rouzier, Thiago S. Rodrigues, Marcelo Azevedo Costa: A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy. ESANN 2008: 71-76 |
39 | EE | René Natowicz, Roberto Incitti, Roman Rouzier, Arben Çela, Antônio de Pádua Braga, Euler G. Horta, Thiago S. Rodrigues, Marcelo Azevedo Costa: Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer. KES (2) 2008: 157-164 |
38 | EE | Illya Kokshenev, Antônio de Pádua Braga: A Multi-objective Learning Algorithm for RBF Neural Network. SBRN 2008: 9-14 |
37 | EE | Illya Kokshenev, Antônio de Pádua Braga: A multi-objective approach to RBF network learning. Neurocomputing 71(7-9): 1203-1209 (2008) |
2007 | ||
36 | EE | Cristiane N. Nobre, J. Miguel Ortega, Antônio de Pádua Braga: High Efficiency on Prediction of Translation Initiation Site (TIS) of RefSeq Sequences. BSB 2007: 138-148 |
35 | EE | Bernardo Penna Resende de Carvalho, Antônio de Pádua Braga: A-LSSVM: an Adaline based iterative sparse LS-SVM classifier. ESANN 2007: 331-336 |
34 | EE | Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Rodney R. Saldanha, Ricardo H. C. Takahashi, Talles Henrique de Medeiros: The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization. ICANN (1) 2007: 289-298 |
33 | EE | Bernardo Penna Resende de Carvalho, Wilian Soares Lacerda, Antônio de Pádua Braga: RRS + LS-SVM: a new strategy for "a priori" sample selection. Neural Computing and Applications 16(3): 227-234 (2007) |
32 | EE | Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes: Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm. Neurocomputing 70(7-9): 1342-1347 (2007) |
2006 | ||
31 | EE | Marcelo Azevedo Costa, Antônio de Pádua Braga: Optimization of Neural Networks with Multi-Objective LASSO Algorithm. IJCNN 2006: 3312-3318 |
30 | EE | Antônio de Pádua Braga, Ricardo H. C. Takahashi, Marcelo Azevedo Costa, Roselito de Albuquerque Teixeira: Multi-Objective Algorithms for Neural Networks Learning. Multi-Objective Machine Learning 2006: 151-171 |
29 | EE | Murilo Saraiva de Queiroz, Roberto Coelho de Berrêdo, Antônio de Pádua Braga: Reinforcement learning of a simple control task using the spike response model. Neurocomputing 70(1-3): 14-20 (2006) |
2005 | ||
28 | EE | Bernardo Penna Resende de Carvalho, Wilian Soares Lacerda, Antônio de Pádua Braga: A Hybrid Approach for Sparse Least Squares Support Vector Machines. HIS 2005: 323-328 |
27 | EE | Marcelo M. Silva, Thiago T. Maia, Antônio de Pádua Braga: An evolutionary approach to Transduction in Support Vector Machines. HIS 2005: 329-334 |
26 | EE | Wilian Soares Lacerda, Antônio de Pádua Braga: Design of digital classifier circuits with nearest neighbour prior sample selection. HIS 2005: 531-533 |
25 | EE | Rogério M. Gomes, Antônio de Pádua Braga, Henrique E. Borges: A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks. ICANN (1) 2005: 173-178 |
24 | EE | Leonardo Max Batista Claudino, Antônio de Pádua Braga, Arnaldo de Albuquerque Araújo, André F. Oliveira: Unsupervised Segmentation of Text Fragments in Real Scenes. ICIAP 2005: 399-406 |
23 | André Carlos Ponce Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir: Credit Card Users' Data Mining. Encyclopedia of Information Science and Technology (I) 2005: 603-605 | |
22 | EE | Estefane G. M. de Lacerda, André Carlos Ponce Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir: Evolutionary Radial Basis Functions for Credit Assessment. Appl. Intell. 22(3): 167-181 (2005) |
2004 | ||
21 | EE | Marcus Tadeu Pinheiro Silva, Antônio de Pádua Braga, Wilian Soares Lacerda: Reconfigurable co-processor for Kanerva's sparse distributed memory. Microprocessors and Microsystems 28(3): 127-134 (2004) |
2003 | ||
20 | Thiago S. Rodrigues, Lucila Pacifico, Santuza Teixeira, Sergio Oliveira, Antônio de Pádua Braga: Amino Acid Coding with Sliding Window Technique. WOB 2003: 165-168 | |
19 | EE | Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes, Roselito de Albuquerque Teixeira, Gustavo Guimarães Parma: Training neural networks with a multi-objective sliding mode control algorithm. Neurocomputing 51: 467-473 (2003) |
2002 | ||
18 | EE | Eber M. Duarte, Antônio de Pádua Braga, José L. Braga: Internet economic news gathering and classification: a neural network software agent based approach. SBRN 2002: 112 |
17 | EE | Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha: Decisior Implementation in Neural Model Selection by Multi-objective Optimization. SBRN 2002: 234 |
16 | EE | Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes, Gustavo Guimarães Parma, Roselito de Albuquerque Teixeira: Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm. SBRN 2002: 38-43 |
15 | EE | Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes: Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm. SBRN 2002: 44-48 |
14 | EE | Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes: Constructive and Pruning Methods for Neural Network Design. SBRN 2002: 49-54 |
13 | EE | Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes: Improving neural networks generalization with new constructive and pruning methods. Journal of Intelligent and Fuzzy Systems 13(2-4): 75-83 (2002) |
2001 | ||
12 | EE | Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha: Recent Advances in the MOBJ Algorithm for Training Artifical Neural Networks. Int. J. Neural Syst. 11(3): 265-270 (2001) |
2000 | ||
11 | EE | Marcelo Barros de Almeida, Antônio de Pádua Braga, João Pedro Braga: SVM-KM: Speeding SVMs Learning with a priori Cluster Selection and k-Means. SBRN 2000: 162-167 |
10 | EE | Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha: A Multi-Objective Optimization Approach for Training Artificial Neural Networks. SBRN 2000: 168-172 |
9 | Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes: Control of a Robotic Manipulator Using Artificial Neural Networks with On-line Adaptation. Neural Processing Letters 12(1): 19-31 (2000) | |
8 | EE | Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha: Improving generalization of MLPs with multi-objective optimization. Neurocomputing 35(1-4): 189-194 (2000) |
1999 | ||
7 | EE | Antônio de Pádua Braga, Teresa Bernarda Ludermir: Editorial: "Artificial Neural Networks in Brazil: An Introduction to the Special Issue of IJNS". Int. J. Neural Syst. 9(3): 163-165 (1999) |
6 | EE | Gustavo Guimarães Parma, Benjamin Rodrigues de Menezes, Antônio de Pádua Braga: Neural Networks Learning with Sliding Mode Control: The Sliding Mode Backpropagation Algorithm. Int. J. Neural Syst. 9(3): 187-193 (1999) |
5 | EE | C. Nobre, E. Martineli, Antônio de Pádua Braga, André Carlos Ponce de Leon Ferreira de Carvalho, S. Rezende, José L. Braga, Teresa Bernarda Ludermir: Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods. Int. J. Neural Syst. 9(3): 257-264 (1999) |
1998 | ||
4 | Antônio de Pádua Braga, Teresa Bernarda Ludermir: 5th Brazilian Symposium on Neural Networks (SBRN '98), 9-11 December 1998, Belo Hoizonte, Brazil IEEE Computer Society 1998 | |
3 | EE | Antônio de Pádua Braga, Marcelo Azevedo Costa: A General Approach for Density in the n-Dimensional Boolean Space. SBRN 1998: 161-164 |
2 | EE | Gustavo Guimarães Parma, Benjamin Rodrigues de Menezes, Antônio de Pádua Braga: Improving Backpropagation with Sliding Mode Control. SBRN 1998: 8-13 |
1995 | ||
1 | EE | Antônio de Pádua Braga, Igor Aleksander: Geometrical treatment and statistical modelling of the distribution of patterns in the n-dimensional Boolean space. Pattern Recognition Letters 16(5): 507-515 (1995) |