Antônio de Pádua Braga

97 papers B 14C 8Misc 1Journal 46Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Random projection large margin algorithm for binary classification problems. Appl. Soft Comput. Vítor Gabriel Reis Caitité, Raul Fonseca Neto, Frederico Coelho, Antônio de Pádua Braga
2025	J	`jnl`	A projected gradient solution to the minimum connector problem with extensions to support vector machines. Pattern Recognit. Raul Fonseca Neto, Saulo Moraes Villela, Antônio de Pádua Braga
2025	J	`jnl`	Graph-based method for autonomous adaptation in online learning of non-stationary data. Inf. Sci. Wagner J. Alvarenga, Alexsander C. A. A. Costa, Felipe V. Campos, Luiz C. B. Torres, Antônio de Pádua Braga
2024	J	`jnl`	Hebbian Learning with Kernel-Based Embedding of Input Data. Neural Process. Lett. Thiago A. Ushikoshi, Elias J. R. Freitas, Murilo V. F. Menezes, Wagner J. A. Junior, Luiz C. B. Torres, Antônio de Pádua Braga
2024	B	`conf`	Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings. ESANN Antônio de Pádua Braga, Murilo V. F. Menezes, Luiz C. B. Torres
2023	J	`jnl`	RBF Neural Networks Design with Graph Based Structural Information from Dominating Sets. Neural Process. Lett. Marcelo Queiroz, Frederico Coelho, Luiz C. B. Torres, Felipe V. Campos, Gabriel Lara, Wagner J. Alvarenga, Antônio de Pádua Braga
2022	J	`jnl`	Cost-Sensitive Learning based on Performance Metric for Imbalanced Data. Neural Process. Lett. Yuri Sousa Aurelio, Gustavo Matheus de Almeida, Cristiano Leite de Castro, Antônio de Pádua Braga
2022	J	`jnl`	Deep architecture for silica forecasting of a real industrial froth flotation process. Eng. Appl. Artif. Intell. Alexsander C. A. A. Costa, Felipe V. Campos, Lourenço R. G. Araújo, Luiz C. B. Torres, Antônio de Pádua Braga
2021	J	`jnl`	Enhancing Performance of Gabriel Graph-Based Classifiers by a Hardware Co-Processor for Embedded System Applications. IEEE Trans. Ind. Informatics Janier Arias-Garcia, Augusto Mafra, Liliane Gade, Frederico Coelho, Cristiano Leite Castro, Luiz C. B. Torres, Antônio de Pádua Braga
2021	J	`jnl`	Guest Editorial: Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health. IEEE Trans. Neural Networks Learn. Syst. Vasile Palade, Stefan Wermter, Ariel Ruiz-Garcia, Antônio de Pádua Braga, Clive Cheong Took
2021	—	`conf`	Industrial case study of causal modeling of continuous casting and lamination of steel tubes. LA-CCI Danilo A. Caldeira Silva, Turíbio Tanus Salis, Antônio de Pádua Braga
2021	J	`jnl`	Neural Networks Regularization With Graph-Based Local Resampling. IEEE Access Alex de Assis Santos dos Santos, Luiz C. B. Torres, Lourenço R. G. Araújo, Vítor M. Hanriot, Antônio de Pádua Braga
2020	J	`jnl`	Embedded real-time feature extraction for electrode inversion detection in telemedicine electrocardiograms. Biomed. Signal Process. Control. Vitor A. M. F. Torres, D. A. C. Silva, Luiz C. B. Torres, Mateus T. Braga, M. B. R. Cardoso, V. T. Lino, Frank Sill Torres, Antônio de Pádua Braga
2020	J	`jnl`	Prediction of Mechanical Properties of Seamless Steel Tubes Using Artificial Neural Networks. Int. J. Comput. Intell. Appl. Ramon Santos Correa, Patricia Teixeira Sampaio, Rafael Utsch Braga, Victor Alberto Lambertucci, Gustavo Matheus de Almeida, Antônio de Pádua Braga
2019	J	`jnl`	Learning from Imbalanced Data Sets with Weighted Cross-Entropy Function. Neural Process. Lett. Yuri Sousa Aurelio, Gustavo Matheus de Almeida, Cristiano Leite Castro, Antônio de Pádua Braga
2017	J	`jnl`	CUDA-Based Parallelization of Power Iteration Clustering for Large Datasets. IEEE Access Gustavo Rodrigues Lacerda Silva, Rafael Ribeiro de Medeiros, Brayan Rene Acevedo Jaimes, Carla Caldeira Takahashi, Douglas Alexandre Gomes Vieira, Antônio de Pádua Braga
2016	J	`jnl`	A Mutual Information estimator for continuous and discrete variables applied to Feature Selection and Classification problems. Int. J. Comput. Intell. Syst. Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen
2016	J	`jnl`	GPIC - GPU Power Iteration Cluster. CoRR Gustavo Rodrigues Lacerda Silva, Rafael Ribeiro de Medeiros, Antônio de Pádua Braga, Douglas A. G. Vieira
2016	J	`jnl`	Image matching applied to autonomous navigation of unmanned aerial vehicles. Int. J. High Perform. Syst. Archit. Carlos Anderson Oliveira Silva, Gustavo Augusto Mascarenhas Goltz, Elcio Hideiti Shiguemori, Cristiano Leite de Castro, Haroldo F. de Campos Velho, Antônio de Pádua Braga
2015	J	`jnl`	A Ranking Approach for Probe Selection and Classification of Microarray Data with Artificial Neural Networks. J. Comput. Biol. Alexandre Wagner Chagas Faria, Alisson Marques da Silva, Thiago de Souza Rodrigues, Marcelo Azevedo Costa, Antônio de Pádua Braga
2015	J	`jnl`	Dataset structure as prior information for parameter-free regularization of extreme learning machines. Neurocomputing Leonardo José Silvestre, André Paim Lemos, João Pedro Braga, Antônio de Pádua Braga
2014	B	`conf`	A new approach for multiple instance learning based on a homogeneity bag operator. ESANN Alexandre Wagner Chagas Faria, David Menotti, André Paim Lemos, Antônio de Pádua Braga
2014	B	`conf`	An Extreme Learning Approach to Active Learning. ESANN Euler G. Horta, Antônio de Pádua Braga
2014	B	`conf`	Parameter-free regularization in Extreme Learning Machines with affinity matrices. ESANN Leonardo José Silvestre, André Paim Lemos, João Pedro Braga, Antônio de Pádua Braga
2013	B	`conf`	GA-KDE-Bayes: an evolutionary wrapper method based on non-parametric density estimation applied to bioinformatics problems. ESANN Maria Fernanda B. Wanderley, Vincent Gardeux, René Natowicz, Antônio de Pádua Braga
2013	J	`jnl`	Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. Cristiano Leite Castro, Antônio de Pádua Braga
2012	—	`conf`	A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks. ICANN (2) Luiz C. B. Torres, Cristiano Leite Castro, Antônio de Pádua Braga
2012	C	`conf`	A General Approach for Adaptive Kernels in Semi-Supervised Clustering. IDEAL Sílvia Grasiella Moreira Almeida, Frederico Gualberto F. Coelho, Frederico Gadelha Guimarães, Antônio de Pádua Braga
2012	B	`conf`	Cluster homogeneity as a semi-supervised principle for feature selection using mutual information. ESANN Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen
2012	J	`jnl`	Convergence analysis of sliding mode trajectories in multi-objective neural networks learning. Neural Networks Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes
2012	J	`jnl`	Emergence of synchronicity in a self-organizing spiking neuron network: an approach via genetic algorithms. Nat. Comput. Gabriela E. Soares, Henrique E. Borges, Rogério Martins Gomes, Gustavo M. Zeferino, Antônio de Pádua Braga
2012	—	`conf`	Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm. ICANN (2) Cristiano Leite Castro, Antônio de Pádua Braga
2012	J	`jnl`	Information storage and retrieval analysis of hierarchically coupled associative memories. Inf. Sci. Rogério Martins Gomes, Antônio de Pádua Braga, Henrique Elias Borges
2011	J	`jnl`	Black and Gray-Box Identification of a Hydraulic Pumping System. IEEE Trans. Control. Syst. Technol. Bruno Henrique Groenner Barbosa, Luis Antonio Aguirre, Carlos Barreira Martinez, Antônio de Pádua Braga
2011	C	`conf`	Gradient Descent Decomposition for Multi-objective Learning. IDEAL Marcelo Azevedo Costa, Antônio de Pádua Braga
2011	J	`jnl`	Protein Classification with Extended-Sequence Coding by Sliding Window. IEEE ACM Trans. Comput. Biol. Bioinform. Thiago de Souza Rodrigues, Fernanda Caldas Cardoso, Santuza Maria Ribeiro Teixeira, Sergio Costa Oliveira, Antônio de Pádua Braga
2011	J	`jnl`	Semi-supervised model applied to the prediction of the response to preoperative chemotherapy for breast cancer. Soft Comput. Frederico Coelho, Antônio de Pádua Braga, René Natowicz, Roman Rouzier
2011	J	`jnl`	The use of coevolution and the artificial immune system for ensemble learning. Soft Comput. Bruno Henrique Groenner Barbosa, Lam Thu Bui, Hussein A. Abbass, Luis Antonio Aguirre, Antônio de Pádua Braga
2010	J	`jnl`	An efficient multi-objective learning algorithm for RBF neural network. Neurocomputing Illya Kokshenev, Antônio de Pádua Braga
2010	B	`conf`	Introduction to Computational Intelligence Business Applications. ESANN Thiago Turchetti Maia, Antônio de Pádua Braga
2010	C	`conf`	Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient. CIARP Frederico Coelho, Antônio de Pádua Braga, Michel Verleysen
2009	C	`conf`	An Improved Algorithm for SVMs Classification of Imbalanced Data Sets. EANN Cristiano Leite Castro, Mateus Araujo Carvalho, Antônio de Pádua Braga
2009	J	`jnl`	Analysis of Time Series Novelty Detection Strategies for Synthetic and Real Data. Neural Process. Lett. André Paoliello Modenesi, Antônio de Pádua Braga
2009	C	`conf`	Artificial Neural Networks Learning in ROC Space. IJCCI Cristiano Leite Castro, Antônio de Pádua Braga
2009	J	`jnl`	IP-LSSVM: A two-step sparse classifier. Pattern Recognit. Lett. Bernardo Penna Resende de Carvalho, Antônio de Pádua Braga
2009	B	`conf`	Machine Learning with Labeled and Unlabeled Data. ESANN Tijl De Bie, Thiago Turchetti Maia, Antônio de Pádua Braga
2009	—	`ch.`	New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data. Foundations of Computational Intelligence (1) 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
2008	—	`conf`	A Multi-objective Learning Algorithm for RBF Neural Network. SBRN Illya Kokshenev, Antônio de Pádua Braga
2008	J	`jnl`	A multi-objective approach to RBF network learning. Neurocomputing Illya Kokshenev, Antônio de Pádua Braga
2008	B	`conf`	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 René Natowicz, Antônio de Pádua Braga, Roberto Incitti, Euler G. Horta, Roman Rouzier, Thiago S. Rodrigues, Marcelo Azevedo Costa
2008	—	`conf`	Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy. ANNPR 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
2008	—	`conf`	Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer. KES (2) René Natowicz, Roberto Incitti, Roman Rouzier, Arben Çela, Antônio de Pádua Braga, Euler G. Horta, Thiago S. Rodrigues, Marcelo Azevedo Costa
2008	—	`conf`	Evolving an Ensemble of Neural Networks Using Artificial Immune Systems. SEAL Bruno Henrique Groenner Barbosa, Lam Thu Bui, Hussein A. Abbass, Luis Antonio Aguirre, Antônio de Pádua Braga
2008	J	`jnl`	Hybrid classification algorithms based on boosting and support vector machines. Kybernetes Thiago Turchetti Maia, Antônio de Pádua Braga, André Carlos Ponce de Leon Ferreira de Carvalho
2008	—	`conf`	Optimization of the Area under the ROC Curve. SBRN Cristiano Leite Castro, Antônio de Pádua Braga
2007	B	`conf`	A new decision strategy in multi-objective training of the artificial neural networks. ESANN Talles Henrique de Medeiros, Ricardo H. C. Takahashi, Antônio de Pádua Braga
2007	B	`conf`	A-LSSVM: an Adaline based iterative sparse LS-SVM classifier. ESANN Bernardo Penna Resende de Carvalho, Antônio de Pádua Braga
2007	B	`conf`	Complexity bounds of radial basis functions and multi-objective learning. ESANN Illya Kokshenev, Antônio de Pádua Braga
2007	—	`conf`	High Efficiency on Prediction of Translation Initiation Site (TIS) of RefSeq Sequences. BSB Cristiane Neri Nobre, José Miguel Ortega, Antônio de Pádua Braga
2007	J	`jnl`	Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm. Neurocomputing Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes
2007	J	`jnl`	RRS + LS-SVM: a new strategy for "a priori" sample selection. Neural Comput. Appl. Bernardo Penna Resende de Carvalho, Wilian Soares Lacerda, Antônio de Pádua Braga
2007	—	`conf`	The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization. ICANN (1) Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Rodney R. Saldanha, Ricardo H. C. Takahashi, Talles Henrique de Medeiros
2006	—	`ch.`	Multi-Objective Algorithms for Neural Networks Learning. Multi-Objective Machine Learning Antônio de Pádua Braga, Ricardo H. C. Takahashi, Marcelo Azevedo Costa, Roselito de Albuquerque Teixeira
2006	B	`conf`	Optimization of Neural Networks with Multi-Objective LASSO Algorithm. IJCNN Marcelo Azevedo Costa, Antônio de Pádua Braga
2006	J	`jnl`	Reinforcement learning of a simple control task using the spike response model. Neurocomputing Murilo Saraiva de Queiroz, Roberto Coelho de Berrêdo, Antônio de Pádua Braga
2006	—	`conf`	Storage capacity of hierarchically coupled associative memories. SBRN Rogério Martins Gomes, Antônio de Pádua Braga, Henrique E. Borges
2005	C	`conf`	A Hybrid Approach for Sparse Least Squares Support Vector Machines. HIS Bernardo Penna Resende de Carvalho, Wilian Soares Lacerda, Antônio de Pádua Braga
2005	—	`conf`	A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks. ICANN (1) Rogério Martins Gomes, Antônio de Pádua Braga, Henrique E. Borges
2005	C	`conf`	An evolutionary approach to Transduction in Support Vector Machines. HIS Marcelo M. Silva, Thiago Turchetti Maia, Antônio de Pádua Braga
2005	—	`ch.`	Credit Card Users' Data Mining. Encyclopedia of Information Science and Technology (I) André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir
2005	C	`conf`	Design of digital classifier circuits with nearest neighbour prior sample selection. HIS Wilian Soares Lacerda, Antônio de Pádua Braga
2005	J	`jnl`	Evolutionary Radial Basis Functions for Credit Assessment. Appl. Intell. Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir
2005	Misc	`conf`	Unsupervised Segmentation of Text Fragments in Real Scenes. ICIAP Leonardo Max Batista Claudino, Antônio de Pádua Braga, Arnaldo de Albuquerque Araújo, André F. Oliveira
2004	J	`jnl`	Reconfigurable co-processor for Kanerva's sparse distributed memory. Microprocess. Microsystems Marcus Tadeu Pinheiro Silva, Antônio de Pádua Braga, Wilian Soares Lacerda
2003	—	`conf`	Amino Acid Coding with Sliding Window Technique. WOB Thiago S. Rodrigues, Lucila Pacifico, Santuza Maria Ribeiro Teixeira, Sergio Oliveira, Antônio de Pádua Braga
2003	J	`jnl`	Training neural networks with a multi-objective sliding mode control algorithm. Neurocomputing Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes, Roselito de Albuquerque Teixeira, Gustavo Guimarães Parma
2002	—	`conf`	Constructive and Pruning Methods for Neural Network Design. SBRN Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes
2002	—	`conf`	Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm. SBRN Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes, Gustavo Guimarães Parma, Roselito de Albuquerque Teixeira
2002	—	`conf`	Decisior Implementation in Neural Model Selection by Multi-objective Optimization. SBRN Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
2002	—	`conf`	Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm. SBRN Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes
2002	J	`jnl`	Improving neural networks generalization with new constructive and pruning methods. J. Intell. Fuzzy Syst. Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes
2002	—	`conf`	Internet economic news gathering and classification: a neural network software agent based approach. SBRN Eber M. Duarte, Antônio de Pádua Braga, José L. Braga
2001	J	`jnl`	Recent Advances in the MOBJ Algorithm for Training Artifical Neural Networks. Int. J. Neural Syst. Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
2000	—	`conf`	A Multi-Objective Optimization Approach for Training Artificial Neural Networks. SBRN Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
2000	J	`jnl`	Control of a Robotic Manipulator Using Artificial Neural Networks with On-line Adaptation. Neural Process. Lett. Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes
2000	J	`jnl`	Improving generalization of MLPs with multi-objective optimization. Neurocomputing Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha
2000	—	`conf`	SVM-KM: Speeding SVMs Learning with a priori Cluster Selection and k-Means. SBRN Marcelo Barros de Almeida, Antônio de Pádua Braga, João Pedro Braga
1999	J	`jnl`	Editorial: "Artificial Neural Networks in Brazil: An Introduction to the Special Issue of IJNS". Int. J. Neural Syst. Antônio de Pádua Braga, Teresa Bernarda Ludermir
1999	J	`jnl`	Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods. Int. J. Neural Syst. Cristiane Nobre, E. Martineli, Antônio de Pádua Braga, André Carlos Ponce de Leon Ferreira de Carvalho, S. Rezende, José L. Braga, Teresa Bernarda Ludermir
1999	J	`jnl`	Neural Networks Learning with Sliding Mode Control: The Sliding Mode Backpropagation Algorithm. Int. J. Neural Syst. Gustavo Guimarães Parma, Benjamin Rodrigues de Menezes, Antônio de Pádua Braga
1999	B	`conf`	Sliding mode backpropagation: control theory applied to neural network learning. IJCNN Gustavo Guimarães Parma, Benjamin Rodrigues de Menezes, Antônio de Pádua Braga
1998	—	`ed.`	5th Brazilian Symposium on Neural Networks (SBRN '98), 9-11 December 1998, Belo Horizonte, Brazil SBRN Antônio de Pádua Braga, Teresa Bernarda Ludermir
1998	—	`conf`	A General Approach for Density in the n-Dimensional Boolean Space. SBRN Antônio de Pádua Braga, Marcelo Azevedo Costa
1998	—	`conf`	Improving Backpropagation with Sliding Mode Control. SBRN Gustavo Guimarães Parma, Benjamin Rodrigues de Menezes, Antônio de Pádua Braga
1996	—	`conf`	A continuous approximation for the intersection of two hyper-spheres in the Boolean space. ICNN Antônio de Pádua Braga
1995	—	`—`	Design models for recursive binary neural networks. Antônio de Pádua Braga
1995	J	`jnl`	Geometrical treatment and statistical modelling of the distribution of patterns in the n-dimensional Boolean space. Pattern Recognit. Lett. Antônio de Pádua Braga, Igor Aleksander