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

A Geometrical Approach for Parameter Selection of Radial Basis Functions Networks. - Luiz C. B. Torres; André P. Lemos; Cristiano Leite Castro; Antônio P. Braga (ICANN, 2014)

Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach. - Luiz C. B. Torres; Cristiano Leite Castro; Antônio P. Braga (ESANN, 2015)

A parameterless mixture model for large margin classification. - Luiz C. B. Torres; Cristiano Leite Castro; Antônio P. Braga (IJCNN, 2015)

Uninorm based regularized fuzzy neural networks. - Paulo Vitor de Campos Souza; Gustavo Rodrigues Lacerda Silva; Luiz Carlos Bambirra Torres (EAIS, 2018)

Regularized Fuzzy Neural Network Based on Or Neuron for Time Series Forecasting. - Paulo Vitor de Campos Souza; Luiz Carlos Bambirra Torres (NAFIPS, 2018)

Regularization of Extreme Learning Machines with information of spatial relations of the projected data. - Lourenço R. G. Araújo; Luiz C. B. Torres; Leonardo José Silvestre; Carla Caldeira Takahashi; Antônio P. Braga (CoDIT, 2019)

Gabriel Graph Transductive Approach to Dataset Shift. - Carla Caldeira Takahashi; Luiz C. B. Torres; Antônio P. Braga (CoDIT, 2019)

Learning Regularization Parameters of Radial Basis Functions in Embedded Likelihoods Space. - Murilo V. F. Menezes; Luiz C. B. Torres; Antônio P. Braga (EPIA (2), 2019)

Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest. - Eduardo S. Ribeiro; Vitor A. M. F. Torres; Brayan James; Mateus T. Braga; Elcio H. Shiguemori; Haroldo F. de Campos Velho; Luiz C. B. Torres; Antônio P. Braga (ESANN, 2019)

Pulsar Detection for Wavelets SODA and Regularized Fuzzy Neural Networks Based on Andneuron and Robust Activation Function. - Paulo Vitor de Campos Souza; Luiz Carlos Bambirra Torres; Augusto Junio Guimarães; Vanessa Souza Araujo (Int. J. Artif. Intell. Tools, 2019)

Width optimization of RBF kernels for binary classification of support vector machines: A density estimation-based approach. - Murilo V. F. Menezes; Luiz C. B. Torres; Antônio P. Braga (Pattern Recognit. Lett., 2019)

Data density-based clustering for regularized fuzzy neural networks based on nullneurons and robust activation function. - Paulo Vitor de Campos Souza; Luiz Carlos Bambirra Torres; Augusto Junio Guimarães; Vanessa Souza Araujo; Vinicius Jonathan Silva Araujo; Thiago Silva Rezende (Soft Comput., 2019)

Embedded real-time feature extraction for electrode inversion detection in telemedicine electrocardiograms. - 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 (Biomed. Signal Process. Control., 2020)

Combined weightless neural network FPGA architecture for deforestation surveillance and visual navigation of UAVs. - Vitor A. M. F. Torres; Brayan Rene Acevedo Jaimes; Eduardo S. Ribeiro; Mateus T. Braga; Elcio H. Shiguemori; Haroldo F. de Campos Velho; Luiz C. B. Torres; Antônio P. Braga (Eng. Appl. Artif. Intell., 2020)

A fuzzy data reduction cluster method based on boundary information for large datasets. - Gustavo Rodrigues Lacerda Silva; Paulo Carvalho 002; Luiz C. B. Torres; Antônio P. Braga (Neural Comput. Appl., 2020)

Neural Networks Regularization With Graph-Based Local Resampling. - Alex de Assis Santos dos Santos; Luiz C. B. Torres; Lourenço R. G. Araújo; Vítor M. Hanriot; Antônio de Pádua Braga (IEEE Access, 2021)

Enhancing Performance of Gabriel Graph-Based Classifiers by a Hardware Co-Processor for Embedded System Applications. - Janier Arias-Garcia; Augusto Mafra; Liliane Gade; Frederico Coelho; Cristiano Leite Castro; Luiz C. B. Torres; Antônio de Pádua Braga (IEEE Trans. Ind. Informatics, 2021)

Large Margin Gaussian Mixture Classifier With a Gabriel Graph Geometric Representation of Data Set Structure. - Luiz C. B. Torres; Cristiano Leite Castro; Frederico Coelho; Antônio P. Braga (IEEE Trans. Neural Networks Learn. Syst., 2021)

Time domain graph-based anomaly detection approach applied to a real industrial problem. - Wagner J. Alvarenga; Felipe V. Campos; Alexsander C. A. A. Costa; Turíbio Tanus Salis; Eduardo Magalhães; Luiz C. B. Torres; Antônio P. Braga (Comput. Ind., 2022)

Deep architecture for silica forecasting of a real industrial froth flotation process. - Alexsander C. A. A. Costa; Felipe V. Campos; Lourenço R. G. Araújo; Luiz C. B. Torres; Antônio de Pádua Braga (Eng. Appl. Artif. Intell., 2022)

Multi-objective neural network model selection with a graph-based large margin approach. - Luiz C. B. Torres; Cristiano Leite Castro; Honovan P. Rocha; Gustavo Matheus de Almeida; Antônio P. Braga (Inf. Sci., 2022)

Wearables and Detection of Falls: A Comparison of Machine Learning Methods and Sensors Positioning. - Arthur B. A. Pinto; Gilda Aparecida de Assis; Luiz C. B. Torres; Thomas Beltrame; Diana G. Domingues (Neural Process. Lett., 2022)

RBF Neural Networks Design with Graph Based Structural Information from Dominating Sets. - Marcelo Queiroz; Frederico Coelho; Luiz C. B. Torres; Felipe V. Campos; Gabriel Lara; Wagner J. Alvarenga; Antônio de Pádua Braga (Neural Process. Lett., 2023)

Concept drift detection with quadtree-based spatial mapping of streaming data. - Rodrigo Amador Coelho; Luiz Carlos Bambirra Torres; Cristiano Leite de Castro (Inf. Sci., 2023)

Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings. - Antônio de Pádua Braga; Murilo V. F. Menezes; Luiz C. B. Torres (ESANN, 2024)

Improved Design for Hardware Implementation of Graph-Based Large Margin Classifiers for Embedded Edge Computing. - Janier Arias-Garcia; Alan Cândido de Souza; Liliane Gade; Jones Yudi Mori; Frederico Coelho; Cristiano Leite Castro; Luiz C. B. Torres; Antônio P. Braga (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hebbian Learning with Kernel-Based Embedding of Input Data. - Thiago A. Ushikoshi; Elias J. R. Freitas; Murilo V. F. Menezes; Wagner J. A. Junior; Luiz C. B. Torres; Antônio de Pádua Braga (Neural Process. Lett., 2024)

Graph-based method for autonomous adaptation in online learning of non-stationary data. - Wagner J. Alvarenga; Alexsander C. A. A. Costa; Felipe V. Campos; Luiz C. B. Torres; Antônio de Pádua Braga (Inf. Sci., 2025)

Multiclass Graph-Based Large Margin Classifiers: Unified Approach for Support Vectors and Neural Networks. - Vítor M. Hanriot; Luiz C. B. Torres; Antônio P. Braga (IEEE Trans. Neural Networks Learn. Syst., 2025)