Raul Fonseca Neto

Orcid: 0000-0002-2282-5746

According to our database1, Raul Fonseca Neto authored at least 20 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Procedural Content Generation using Reinforcement Learning and Entropy Measure as Feedback.
Proceedings of the 21st Brazilian Symposium on Computer Games and Digital Entertainment, 2022

2021
An evolutionary algorithm for large margin classification.
Soft Comput., 2021

An ordered search with a large margin classifier for feature selection.
Appl. Soft Comput., 2021

2020
A kernel based learning method for non-stationary two-player repeated games.
Knowl. Based Syst., 2020

A Music Classification model based on metric learning applied to MP3 audio files.
Expert Syst. Appl., 2020

An Evolutionary Analytic Center Classifier.
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.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

An Ordered Search for Subset Selection in Support Vector Orthogonal Regression.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Reinforcement learning with optimized reward function for stealth applications.
Entertain. Comput., 2018

An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2016
A dual method for solving the nonlinear structured prediction problem.
Pattern Recognit. Lett., 2016

Incremental p-margin algorithm for classification with arbitrary norm.
Pattern Recognit., 2016

Version Space Reduction Based on Ensembles of Dissimilar Balanced Perceptrons.
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.
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.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Stealthy Path Planning Using Navigation Meshes.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

A Novel Ensemble Approach Based on Balanced Perceptrons Applied to Microarray Datasets.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2013
Online algorithm based on support vectors for orthogonal regression.
Pattern Recognit. Lett., 2013

2012
Perceptron Models for Online Structured Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2008
Incremental margin algorithm for large margin classifiers.
Neurocomputing, 2008


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