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2020 – today
- 2025
[j10]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: 100759 (2025)- 2022
- [c11]Paulo Vinícius Moreira Dutra, Saulo Moraes Villela, Raul Fonseca Neto:
Procedural Content Generation using Reinforcement Learning and Entropy Measure as Feedback. SBGAMES 2022: 1-6 - 2021
- [j9]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: 106930 (2021) - [j8]Renan Motta Goulart, Carlos Cristiano Hasenclever Borges, Raul Fonseca Neto:
An evolutionary algorithm for large margin classification. Soft Comput. 25(11): 7593-7607 (2021) - 2020
- [j7]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: 113071 (2020) - [j6]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: 105820 (2020) - [c10]Renan Motta Goulart, Saulo Moraes Villela, Carlos Cristiano Hasenclever Borges, Raul Fonseca Neto:
An Evolutionary Analytic Center Classifier. BRACIS 2020: 34-48
2010 – 2019
- 2019
- [c9]Paulo Vitor Freitas da Silva, Raul Fonseca Neto, Saulo Moraes Villela:
An Ordered Search for Subset Selection in Support Vector Orthogonal Regression. BRACIS 2019: 192-197 - [c8]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 - 2018
- [j5]Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto:
Reinforcement learning with optimized reward function for stealth applications. Entertain. Comput. 25: 37-47 (2018) - [c7]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: 436-442 - 2016
- [j4]Saulo Moraes Villela, Saul de Castro Leite, Raul Fonseca Neto:
Incremental p-margin algorithm for classification with arbitrary norm. Pattern Recognit. 55: 261-272 (2016) - [j3]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: 55-62 (2016) - [c6]Karen Braga Enes, Saulo Moraes Villela, Raul Fonseca Neto:
Version Space Reduction Based on Ensembles of Dissimilar Balanced Perceptrons. IJCAI 2016: 1448-1454 - 2015
- [c5]Matheus R. F. Mendonça, Heder S. Bernardino, Raul Fonseca Neto:
Stealthy Path Planning Using Navigation Meshes. BRACIS 2015: 31-36 - [c4]Karen Braga Enes, Saulo Moraes Villela, Raul Fonseca Neto:
A Novel Ensemble Approach Based on Balanced Perceptrons Applied to Microarray Datasets. BRACIS 2015: 186-191 - [c3]Saulo Moraes Villela, Saul de Castro Leite, Raul Fonseca Neto:
Feature Selection from Microarray Data via an Ordered Search with Projected Margin. IJCAI 2015: 3874-3881 - [c2]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: 152-159 - 2013
- [j2]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): 1394-1404 (2013) - 2012
- [c1]Maurício Archanjo Nunes Coelho, Raul Fonseca Neto, Carlos Cristiano Hasenclever Borges:
Perceptron Models for Online Structured Prediction. IDEAL 2012: 320-327
2000 – 2009
- 2008
- [j1]Saul C. Leite, Raul Fonseca Neto:
Incremental margin algorithm for large margin classifiers. Neurocomputing 71(7-9): 1550-1560 (2008)
Coauthor Index
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