Incremental margin algorithm for large margin classifiers. - Saul C. Leite; Raul Fonseca Neto (Neurocomputing, 2008)

Perceptron Models for Online Structured Prediction. - Maurício Archanjo Nunes Coelho; Raul Fonseca Neto; Carlos Cristiano Hasenclever Borges (IDEAL, 2012)

Online algorithm based on support vectors for orthogonal regression. - Roberto C. S. N. P. Souza; Saul C. Leite; Carlos Cristiano H. Borges; Raul Fonseca Neto (Pattern Recognit. Lett., 2013)

A Novel Ensemble Approach Based on Balanced Perceptrons Applied to Microarray Datasets. - Karen Braga Enes; Saulo Moraes Villela; Raul Fonseca Neto (BRACIS, 2015)

Stealthy Path Planning Using Navigation Meshes. - Matheus R. F. Mendonça; Heder S. Bernardino; Raul Fonseca Neto (BRACIS, 2015)

Feature Selection from Microarray Data via an Ordered Search with Projected Margin. - Saulo Moraes Villela; Saul de Castro Leite; Raul Fonseca Neto (IJCAI, 2015)

Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks. - Matheus R. F. Mendonça; Heder S. Bernardino; Raul Fonseca Neto (SBGames, 2015)

Version Space Reduction Based on Ensembles of Dissimilar Balanced Perceptrons. - Karen Braga Enes; Saulo Moraes Villela; Raul Fonseca Neto (IJCAI, 2016)

Incremental p-margin algorithm for classification with arbitrary norm. - Saulo Moraes Villela; Saul de Castro Leite; Raul Fonseca Neto (Pattern Recognit., 2016)

A dual method for solving the nonlinear structured prediction problem. - Maurício Archanjo Nunes Coelho; Carlos Cristiano Hasenclever Borges; Raul Fonseca Neto (Pattern Recognit. Lett., 2016)

An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction. - Karen Braga Enes; Saulo Moraes Villela; Gisele Lobo Pappa; Raul Fonseca Neto (ICMLA, 2018)

Reinforcement learning with optimized reward function for stealth applications. - Matheus R. F. Mendonça; Heder S. Bernardino; Raul Fonseca Neto (Entertain. Comput., 2018)

An Ordered Search for Subset Selection in Support Vector Orthogonal Regression. - Paulo Vitor Freitas da Silva; Raul Fonseca Neto; Saulo Moraes Villela (BRACIS, 2019)

A best-first branch-and-bound search for solving the transductive inference problem using support vector machines. - Hygor Xavier Araújo; Raul Fonseca Neto; Saulo Moraes Villela (ESANN, 2019)

An Evolutionary Analytic Center Classifier. - Renan Motta Goulart; Saulo Moraes Villela; Carlos Cristiano Hasenclever Borges; Raul Fonseca Neto (BRACIS, 2020)

A Music Classification model based on metric learning applied to MP3 audio files. - Angelo Cesar Mendes da Silva; Maurício Archanjo Nunes Coelho; Raul Fonseca Neto (Expert Syst. Appl., 2020)

A kernel based learning method for non-stationary two-player repeated games. - Renan Motta Goulart; Saul C. Leite; Raul Fonseca Neto (Knowl. Based Syst., 2020)

An ordered search with a large margin classifier for feature selection. - Saulo Moraes Villela; Saul de Castro Leite; Adilson Elias Xavier; Raul Fonseca Neto (Appl. Soft Comput., 2021)

An evolutionary algorithm for large margin classification. - Renan Motta Goulart; Carlos Cristiano Hasenclever Borges; Raul Fonseca Neto (Soft Comput., 2021)

Procedural Content Generation using Reinforcement Learning and Entropy Measure as Feedback. - Paulo Vinícius Moreira Dutra; Saulo Moraes Villela; Raul Fonseca Neto (SBGAMES, 2022)

A mixed-initiative design framework for procedural content generation using reinforcement learning. - Paulo Vinícius Moreira Dutra; Saulo Moraes Villela; Raul Fonseca Neto (Entertain. Comput., 2025)

A projected gradient solution to the minimum connector problem with extensions to support vector machines. - Raul Fonseca Neto; Saulo Moraes Villela; Antônio de Pádua Braga (Pattern Recognit., 2025)