Raul Fonseca Neto

According to our database, Raul Fonseca Neto authored at least 21 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

2022

Procedural Content Generation using Reinforcement Learning and Entropy Measure as Feedback.

Paulo Vinícius Moreira Dutra, Saulo Moraes Villela, Raul Fonseca Neto

Proceedings of the 21st Brazilian Symposium on Computer Games and Digital Entertainment, 2022

2021

An evolutionary algorithm for large margin classification.

Renan Motta Goulart, Carlos Cristiano Hasenclever Borges, Raul Fonseca Neto

Soft Comput., 2021

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

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

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

An Evolutionary Analytic Center Classifier.

Renan Motta Goulart, Saulo Moraes Villela, Carlos Cristiano Hasenclever Borges, Raul Fonseca Neto

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

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

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

An Ordered Search for Subset Selection in Support Vector Orthogonal Regression.

Paulo Vitor Freitas da Silva, Raul Fonseca Neto, Saulo Moraes Villela

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Reinforcement learning with optimized reward function for stealth applications.

Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto

Entertain. Comput., 2018

An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction.

Karen Braga Enes, Saulo Moraes Villela, Gisele Lobo Pappa, Raul Fonseca Neto

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

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

Incremental p-margin algorithm for classification with arbitrary norm.

Saulo Moraes Villela, Saul de Castro Leite, Raul Fonseca Neto

Pattern Recognit., 2016

Version Space Reduction Based on Ensembles of Dissimilar Balanced Perceptrons.

Karen Braga Enes, Saulo Moraes Villela, Raul Fonseca Neto

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks.

Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto

Proceedings of the 14th Brazilian Symposium on Computer Games and Digital Entertainment, 2015

Feature Selection from Microarray Data via an Ordered Search with Projected Margin.

Saulo Moraes Villela, Saul de Castro Leite, Raul Fonseca Neto

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Stealthy Path Planning Using Navigation Meshes.

Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

A Novel Ensemble Approach Based on Balanced Perceptrons Applied to Microarray Datasets.

Karen Braga Enes, Saulo Moraes Villela, Raul Fonseca Neto

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2013

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

2012

Perceptron Models for Online Structured Prediction.

Maurício Archanjo Nunes Coelho, Raul Fonseca Neto, Carlos Cristiano Hasenclever Borges

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2008

Incremental margin algorithm for large margin classifiers.

Saul C. Leite, Raul Fonseca Neto

Neurocomputing, 2008