| 2026 | ESANN | Scaling up graph-based classifiers with a divide and conquer approach. | Caius Souza, Rafael Lopes Almeida, Frederico Gualberto Ferreira Coelho, Antnio de Pdua Braga |
| 2024 | ESANN | Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings. | Antnio de Pdua Braga, Murilo V. F. Menezes, Luiz C. B. Torres |
| 2014 | ESANN | A new approach for multiple instance learning based on a homogeneity bag operator. | Alexandre Wagner Chagas Faria, David Menotti, Andr Paim Lemos, Antnio de Pdua Braga |
| 2014 | ESANN | An Extreme Learning Approach to Active Learning. | Euler G. Horta, Antnio de Pdua Braga |
| 2014 | ESANN | Parameter-free regularization in Extreme Learning Machines with affinity matrices. | Leonardo Jos Silvestre, Andr Paim Lemos, Joo Pedro Braga, Antnio de Pdua Braga |
| 2013 | ESANN | GA-KDE-Bayes: an evolutionary wrapper method based on non-parametric density estimation applied to bioinformatics problems. | Maria Fernanda B. Wanderley, Vincent Gardeux, Ren Natowicz, Antnio de Pdua Braga |
| 2012 | ESANN | Cluster homogeneity as a semi-supervised principle for feature selection using mutual information. | Frederico Coelho, Antnio de Pdua Braga, Michel Verleysen |
| 2012 | ICANN | Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm. | Cristiano Leite Castro, Antnio de Pdua Braga |
| 2012 | ICANN | A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks. | Luiz C. B. Torres, Cristiano Leite Castro, Antnio de Pdua Braga |
| 2012 | IDEAL | A General Approach for Adaptive Kernels in Semi-Supervised Clustering. | Slvia Grasiella Moreira Almeida, Frederico Gualberto Ferreira Coelho, Frederico Gadelha Guimares, Antnio de Pdua Braga |
| 2011 | IDEAL | Gradient Descent Decomposition for Multi-objective Learning. | Marcelo Azevedo Costa, Antnio de Pdua Braga |
| 2010 | CIARP | Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson's Correlation Coefficient. | Frederico Coelho, Antnio de Pdua Braga, Michel Verleysen |
| 2010 | ESANN | Introduction to Computational Intelligence Business Applications. | Thiago Turchetti Maia, Antnio de Pdua Braga |
| 2009 | EANN | An Improved Algorithm for SVMs Classification of Imbalanced Data Sets. | Cristiano Leite Castro, Mateus Araujo Carvalho, Antnio de Pdua Braga |
| 2009 | ESANN | Machine Learning with Labeled and Unlabeled Data. | Tijl De Bie, Thiago Turchetti Maia, Antnio de Pdua Braga |
| 2009 | IJCCI | Artificial Neural Networks Learning in ROC Space. | Cristiano Leite Castro, Antnio de Pdua Braga |
| 2008 | ESANN | A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy. | Ren Natowicz, Antnio de Pdua Braga, Roberto Incitti, Euler G. Horta, Roman Rouzier, Thiago S. Rodrigues, Marcelo Azevedo Costa |
| 2008 | KES | Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer. | Ren Natowicz, Roberto Incitti, Roman Rouzier, Arben ela, Antnio de Pdua Braga, Euler G. Horta, Thiago S. Rodrigues, Marcelo Azevedo Costa |
| 2007 | ESANN | A-LSSVM: an Adaline based iterative sparse LS-SVM classifier. | Bernardo Penna Resende de Carvalho, Antnio de Pdua Braga |
| 2007 | ESANN | Complexity bounds of radial basis functions and multi-objective learning. | Illya Kokshenev, Antnio de Pdua Braga |
| 2007 | ESANN | A new decision strategy in multi-objective training of the artificial neural networks. | Talles Henrique de Medeiros, Ricardo H. C. Takahashi, Antnio de Pdua Braga |
| 2007 | ICANN | The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization. | Roselito de Albuquerque Teixeira, Antnio de Pdua Braga, Rodney R. Saldanha, Ricardo H. C. Takahashi, Talles Henrique de Medeiros |
| 2006 | IJCNN | Optimization of Neural Networks with Multi-Objective LASSO Algorithm. | Marcelo Azevedo Costa, Antnio de Pdua Braga |
| 2005 | HIS | A Hybrid Approach for Sparse Least Squares Support Vector Machines. | Bernardo Penna Resende de Carvalho, Wilian Soares Lacerda, Antnio de Pdua Braga |
| 2005 | HIS | Design of digital classifier circuits with nearest neighbour prior sample selection. | Wilian Soares Lacerda, Antnio de Pdua Braga |
| 2005 | HIS | An evolutionary approach to Transduction in Support Vector Machines. | Marcelo M. Silva, Thiago Turchetti Maia, Antnio de Pdua Braga |
| 2005 | ICANN | A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks. | Rogrio Martins Gomes, Antnio de Pdua Braga, Henrique E. Borges |
| 2005 | ICIAP | Unsupervised Segmentation of Text Fragments in Real Scenes. | Leonardo Max Batista Claudino, Antnio de Pdua Braga, Arnaldo de Albuquerque Arajo, Andr F. Oliveira |
| 1999 | IJCNN | Sliding mode backpropagation: control theory applied to neural network learning. | Gustavo Guimares Parma, Benjamin Rodrigues de Menezes, Antnio de Pdua Braga |