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Antônio de Pádua Braga: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bernardo Penna Resende de Carvalho, Wilian Soares Lacerda, Antônio de Pádua Braga
    A Hybrid Approach for Sparse Least Squares Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:323-328 [Conf]
  2. Wilian Soares Lacerda, Antônio de Pádua Braga
    Design of digital classifier circuits with nearest neighbour prior sample selection. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:531-533 [Conf]
  3. Marcelo M. Silva, Thiago T. Maia, Antônio de Pádua Braga
    An evolutionary approach to Transduction in Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:329-334 [Conf]
  4. Rogério M. Gomes, Antônio P. Braga, Henrique E. Borges
    A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:173-178 [Conf]
  5. Leonardo Max Batista Claudino, Antônio de Pádua Braga, Arnaldo de Albuquerque Araújo, André F. Oliveira
    Unsupervised Segmentation of Text Fragments in Real Scenes. [Citation Graph (0, 0)][DBLP]
    ICIAP, 2005, pp:399-406 [Conf]
  6. Marcelo Barros de Almeida, Antônio de Pádua Braga, João Pedro Braga
    SVM-KM: Speeding SVMs Learning with a priori Cluster Selection and k-Means. [Citation Graph (0, 0)][DBLP]
    SBRN, 2000, pp:162-167 [Conf]
  7. Antônio de Pádua Braga, Marcelo Azevedo Costa
    A General Approach for Density in the n-Dimensional Boolean Space. [Citation Graph (0, 0)][DBLP]
    SBRN, 1998, pp:161-164 [Conf]
  8. Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes
    Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:44-48 [Conf]
  9. Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes
    Constructive and Pruning Methods for Neural Network Design. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:49-54 [Conf]
  10. 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. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:38-43 [Conf]
  11. Eber M. Duarte, Antônio de Pádua Braga, José L. Braga
    Internet economic news gathering and classification: a neural network software agent based approach. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:112- [Conf]
  12. Gustavo Guimarães Parma, Benjamin Rodrigues de Menezes, Antônio de Pádua Braga
    Improving Backpropagation with Sliding Mode Control. [Citation Graph (0, 0)][DBLP]
    SBRN, 1998, pp:8-13 [Conf]
  13. 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. [Citation Graph (0, 0)][DBLP]
    SBRN, 2000, pp:168-172 [Conf]
  14. 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. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:234- [Conf]
  15. Thiago Rodrigues, Lucila Pacifico, Santuza Teixeira, Sergio Oliveira, Antônio Braga
    Amino Acid Coding with Sliding Window Technique. [Citation Graph (0, 0)][DBLP]
    WOB, 2003, pp:165-168 [Conf]
  16. 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. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2005, v:22, n:3, pp:167-181 [Journal]
  17. Antônio de Pádua Braga, Teresa Bernarda Ludermir
    Editorial: "Artificial Neural Networks in Brazil: An Introduction to the Special Issue of IJNS". [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1999, v:9, n:3, pp:163-165 [Journal]
  18. 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. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1999, v:9, n:3, pp:257-264 [Journal]
  19. Gustavo Guimarães Parma, Benjamin Rodrigues de Menezes, Antônio de Pádua Braga
    Neural Networks Learning with Sliding Mode Control: The Sliding Mode Backpropagation Algorithm. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1999, v:9, n:3, pp:187-193 [Journal]
  20. 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. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2001, v:11, n:3, pp:265-270 [Journal]
  21. 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. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:51, n:, pp:467-473 [Journal]
  22. Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
    Improving generalization of MLPs with multi-objective optimization. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:35, n:1-4, pp:189-194 [Journal]
  23. Murilo Saraiva de Queiroz, Roberto Coelho de Berrêdo, Antônio de Pádua Braga
    Reinforcement learning of a simple control task using the spike response model. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:70, n:1-3, pp:14-20 [Journal]
  24. Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes
    Improving neural networks generalization with new constructive and pruning methods. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2002, v:13, n:2-4, pp:75-83 [Journal]
  25. 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. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2000, v:12, n:1, pp:19-31 [Journal]
  26. Antônio de Pádua Braga, Igor Aleksander
    Geometrical treatment and statistical modelling of the distribution of patterns in the n-dimensional Boolean space. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1995, v:16, n:5, pp:507-515 [Journal]
  27. Marcus Tadeu Pinheiro Silva, Antônio de Pádua Braga, Wilian Soares Lacerda
    Reconfigurable co-processor for Kanerva's sparse distributed memory. [Citation Graph (0, 0)][DBLP]
    Microprocessors and Microsystems, 2004, v:28, n:3, pp:127-134 [Journal]
  28. Roselito A. Teixeira, Antônio P. Braga, Rodney R. Saldanha, Ricardo H. C. Takahashi, Talles H. Medeiros
    The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:289-298 [Conf]
  29. Cristiane N. Nobre, J. Miguel Ortega, Antônio de Pádua Braga
    High Efficiency on Prediction of Translation Initiation Site (TIS) of RefSeq Sequences. [Citation Graph (0, 0)][DBLP]
    BSB, 2007, pp:138-148 [Conf]
  30. Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes
    Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1342-1347 [Journal]
  31. Bernardo Penna Resende de Carvalho, Wilian Soares Lacerda, Antônio de Pádua Braga
    RRS + LS-SVM: a new strategy for "a priori" sample selection. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2007, v:16, n:3, pp:227-234 [Journal]

  32. A-LSSVM: an Adaline based iterative sparse LS-SVM classifier. [Citation Graph (, )][DBLP]


  33. A new decision strategy in multi-objective training of the artificial neural networks. [Citation Graph (, )][DBLP]


  34. Complexity bounds of radial basis functions and multi-objective learning. [Citation Graph (, )][DBLP]


  35. A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy. [Citation Graph (, )][DBLP]


  36. Optimization of Neural Networks with Multi-Objective LASSO Algorithm. [Citation Graph (, )][DBLP]


  37. Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer. [Citation Graph (, )][DBLP]


  38. Optimization of the Area under the ROC Curve. [Citation Graph (, )][DBLP]


  39. A Multi-objective Learning Algorithm for RBF Neural Network. [Citation Graph (, )][DBLP]


  40. Storage capacity of hierarchically coupled associative memories. [Citation Graph (, )][DBLP]


  41. Evolving an Ensemble of Neural Networks Using Artificial Immune Systems. [Citation Graph (, )][DBLP]


  42. Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy. [Citation Graph (, )][DBLP]


  43. Artificial Neural Networks Learning in ROC Space. [Citation Graph (, )][DBLP]


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