Antônio de Pádua Braga

Cristiano Leite Castro, Antônio de Pádua Braga: Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data. IEEE Trans. Neural Netw. Learning Syst. 24(6): 888-899 (2013)

Rogério M. Gomes, Antônio de Pádua Braga, Henrique Elias Borges: Information storage and retrieval analysis of hierarchically coupled associative memories. Inf. Sci. 195: 175-189 (2012)

Gabriela E. Soares, Henrique E. Borges, Rogério M. Gomes, Gustavo M. Zeferino, Antônio de Pádua Braga: Emergence of synchronicity in a self-organizing spiking neuron network: an approach via genetic algorithms. Natural Computing 11(3): 405-413 (2012)

Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes: Convergence analysis of sliding mode trajectories in multi-objective neural networks learning. Neural Networks 33: 21-31 (2012)

Luiz C. B. Torres, Cristiano Leite Castro, Antônio de Pádua Braga: A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks. ICANN (2) 2012: 100-107

Cristiano Leite Castro, Antônio de Pádua Braga: Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm. ICANN (2) 2012: 314-321

Sílvia Grasiella Moreira Almeida, Frederico Gualberto F. Coelho, Frederico Gadelha Guimarães, Antônio de Pádua Braga: A General Approach for Adaptive Kernels in Semi-Supervised Clustering. IDEAL 2012: 508-515

Frederico Coelho, Antônio de Pádua Braga, René Natowicz, Roman Rouzier: Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancer. Soft Comput. 15(6): 1137-1144 (2011)

Bruno H. G. Barbosa, Lam Thu Bui, Hussein A. Abbass, Luis Antonio Aguirre, Antônio de Pádua Braga: The use of coevolution and the artificial immune system for ensemble learning. Soft Comput. 15(9): 1735-1747 (2011)

Thiago de Souza Rodrigues, Fernanda Caldas Cardoso, Santuza Maria Ribeiro Teixeira, Sergio Costa Oliveira, Antônio de Pádua Braga: Protein Classification with Extended-Sequence Coding by Sliding Window. IEEE/ACM Trans. Comput. Biology Bioinform. 8(6): 1721-1726 (2011)

Bruno H. G. Barbosa, Luis Antonio Aguirre, C. B. Martinez, Antônio de Pádua Braga: Black and Gray-Box Identification of a Hydraulic Pumping System. IEEE Trans. Contr. Sys. Techn. 19(2): 398-406 (2011)

Marcelo Azevedo Costa, Antônio de Pádua Braga: Gradient Descent Decomposition for Multi-objective Learning. IDEAL 2011: 377-384

Illya Kokshenev, Antônio de Pádua Braga: An efficient multi-objective learning algorithm for RBF neural network. Neurocomputing 73(16-18): 2799-2808 (2010)

Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen: Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient. CIARP 2010: 509-516

Thiago Turchetti Maia, Antônio de Pádua Braga: Introduction to Computational Intelligence Business Applications. ESANN 2010

André Paoliello Modenesi, Antônio de Pádua Braga: Analysis of Time Series Novelty Detection Strategies for Synthetic and Real Data. Neural Processing Letters 30(1): 1-17 (2009)

Bernardo Penna Resende de Carvalho, Antônio de Pádua Braga: IP-LSSVM: A two-step sparse classifier. Pattern Recognition Letters 30(16): 1507-1515 (2009)

Tijl De Bie, Thiago Turchetti Maia, Antônio de Pádua Braga: Machine Learning with Labeled and Unlabeled Data. ESANN 2009

Cristiano Leite Castro, Antônio de Pádua Braga: Artificial Neural Networks Learning in ROC Space. IJCCI 2009: 484-489

Marcelo Azevedo Costa, Thiago S. Rodrigues, Euler Guimarães Horta, Antônio de Pádua Braga, Carmen D. M. Pataro, René Natowicz, Roberto Incitti, Roman Rouzier, Arben Çela: New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data. Foundations of Computational Intelligence (1) 2009: 63-82

Illya Kokshenev, Antônio de Pádua Braga: A multi-objective approach to RBF network learning. Neurocomputing 71(7-9): 1203-1209 (2008)

Thiago Turchetti Maia, Antônio de Pádua Braga, André Carlos Ponce Leon Ferreira de Carvalho: Hybrid classification algorithms based on boosting and support vector machines. Kybernetes 37(9/10): 1469-1491 (2008)

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

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

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

Illya Kokshenev, Antônio de Pádua Braga: A Multi-objective Learning Algorithm for RBF Neural Network. SBRN 2008: 9-14

Cristiano Leite Castro, Antônio de Pádua Braga: Optimization of the Area under the ROC Curve. SBRN 2008: 141-146

Bruno H. G. Barbosa, Lam Thu Bui, Hussein A. Abbass, Luis Antonio Aguirre, Antônio de Pádua Braga: Evolving an Ensemble of Neural Networks Using Artificial Immune Systems. SEAL 2008: 121-130

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)

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)

Illya Kokshenev, Antônio de Pádua Braga: Complexity bounds of radial basis functions and multi-objective learning. ESANN 2007: 73-78

Bernardo Penna Resende de Carvalho, Antônio de Pádua Braga: A-LSSVM: an Adaline based iterative sparse LS-SVM classifier. ESANN 2007: 331-336

Talles Henrique de Medeiros, Ricardo H. C. Takahashi, Antônio de Pádua Braga: A new decision strategy in multi-objective training of the artificial neural networks. ESANN 2007: 555-560

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

Cristiane Neri Nobre, J. Miguel Ortega, Antônio de Pádua Braga: High Efficiency on Prediction of Translation Initiation Site (TIS) of RefSeq Sequences. BSB 2007: 138-148

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)

Marcelo Azevedo Costa, Antônio de Pádua Braga: Optimization of Neural Networks with Multi-Objective LASSO Algorithm. IJCNN 2006: 3312-3318

Rogério M. Gomes, Antônio de Pádua Braga, Henrique E. Borges: Storage capacity of hierarchically coupled associative memories. SBRN 2006: 196-201

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

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)

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

Marcelo M. Silva, Thiago Turchetti Maia, Antônio de Pádua Braga: An evolutionary approach to Transduction in Support Vector Machines. HIS 2005: 329-334

Wilian Soares Lacerda, Antônio de Pádua Braga: Design of digital classifier circuits with nearest neighbour prior sample selection. HIS 2005: 531-533

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

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

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

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)

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)

Thiago S. Rodrigues, Lucila Pacifico, Santuza Maria Ribeiro Teixeira, Sergio Oliveira, Antônio de Pádua Braga: Amino Acid Coding with Sliding Window Technique. WOB 2003: 165-168

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)

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

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

Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes: Constructive and Pruning Methods for Neural Network Design. SBRN 2002: 49-54

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

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

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)

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)

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)

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

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

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)

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)

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)

Gustavo Guimarães Parma, Benjamin Rodrigues de Menezes, Antônio de Pádua Braga: Improving Backpropagation with Sliding Mode Control. SBRN 1998: 8-13

Antônio de Pádua Braga, Marcelo Azevedo Costa: A General Approach for Density in the n-Dimensional Boolean Space. SBRN 1998: 161-164

Antônio de Pádua Braga, Teresa Bernarda Ludermir (Eds.): 5th Brazilian Symposium on Neural Networks (SBRN '98), 9-11 December 1998, Belo Horizonte, Brazil. IEEE Computer Society 1998, isbn 0-8186-8629-4

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)