Raul Fonseca Neto

Publication Activity (10 Years)

Years Active: 2008-2025
Publications (10 Years): 14

Top Topics

Transductive Inference

Feature Selection

Top Venues

Entertain. Comput.

Publications

Paulo Vinícius Moreira Dutra, Saulo Moraes Villela, Raul Fonseca Neto
A mixed-initiative design framework for procedural content generation using reinforcement learning. Entertain. Comput. 52 (2025)
Paulo Vinícius Moreira Dutra, Saulo Moraes Villela, Raul Fonseca Neto
Procedural Content Generation using Reinforcement Learning and Entropy Measure as Feedback. SBGAMES (2022)
Renan Motta Goulart, Carlos Cristiano Hasenclever Borges, Raul Fonseca Neto
An evolutionary algorithm for large margin classification. Soft Comput. 25 (11) (2021)
Saulo Moraes Villela, Saul de Castro Leite, Adilson Elias Xavier, Raul Fonseca Neto
An ordered search with a large margin classifier for feature selection. Appl. Soft Comput. 100 (2021)
Renan Motta Goulart, Saulo Moraes Villela, Carlos Cristiano Hasenclever Borges, Raul Fonseca Neto
An Evolutionary Analytic Center Classifier. BRACIS (2020)
Renan Motta Goulart, Saul C. Leite, Raul Fonseca Neto
A kernel based learning method for non-stationary two-player repeated games. Knowl. Based Syst. 196 (2020)
Angelo Cesar Mendes da Silva, Maurício Archanjo Nunes Coelho, Raul Fonseca Neto
A Music Classification model based on metric learning applied to MP3 audio files. Expert Syst. Appl. 144 (2020)
Hygor Xavier Araújo, Raul Fonseca Neto, Saulo Moraes Villela
A best-first branch-and-bound search for solving the transductive inference problem using support vector machines. ESANN (2019)
Paulo Vitor Freitas da Silva, Raul Fonseca Neto, Saulo Moraes Villela
An Ordered Search for Subset Selection in Support Vector Orthogonal Regression. BRACIS (2019)
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
Reinforcement learning with optimized reward function for stealth applications. Entertain. Comput. 25 (2018)
Karen Braga Enes, Saulo Moraes Villela, Gisele Lobo Pappa, Raul Fonseca Neto
An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction. ICMLA (2018)
Saulo Moraes Villela, Saul de Castro Leite, Raul Fonseca Neto
Incremental p-margin algorithm for classification with arbitrary norm. Pattern Recognit. 55 (2016)
Karen Braga Enes, Saulo Moraes Villela, Raul Fonseca Neto
Version Space Reduction Based on Ensembles of Dissimilar Balanced Perceptrons. IJCAI (2016)
Maurício Archanjo Nunes Coelho, Carlos Cristiano Hasenclever Borges, Raul Fonseca Neto
A dual method for solving the nonlinear structured prediction problem. Pattern Recognit. Lett. 75 (2016)
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
Stealthy Path Planning Using Navigation Meshes. BRACIS (2015)
Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto
Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks. SBGames (2015)
Saulo Moraes Villela, Saul de Castro Leite, Raul Fonseca Neto
Feature Selection from Microarray Data via an Ordered Search with Projected Margin. IJCAI (2015)
Karen Braga Enes, Saulo Moraes Villela, Raul Fonseca Neto
A Novel Ensemble Approach Based on Balanced Perceptrons Applied to Microarray Datasets. BRACIS (2015)
Roberto C. S. N. P. Souza, Saul C. Leite, Carlos Cristiano H. Borges, Raul Fonseca Neto
Online algorithm based on support vectors for orthogonal regression. Pattern Recognit. Lett. 34 (12) (2013)
Maurício Archanjo Nunes Coelho, Raul Fonseca Neto, Carlos Cristiano Hasenclever Borges
Perceptron Models for Online Structured Prediction. IDEAL (2012)
Saul C. Leite, Raul Fonseca Neto
Incremental margin algorithm for large margin classifiers. Neurocomputing 71 (7-9) (2008)