Saulo Moraes Villela

According to our database, Saulo Moraes Villela authored at least 31 papers between 2015 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

2024

Composite loss function for 3-D poststack seismic data compression.

Kevyn Swhants dos Santos Ribeiro, Marcelo Bernardes Vieira, Saulo Moraes Villela, Marcelo Caniato Renhe, Hélio Pedrini, João Paulo Navarro

Comput. Geosci., 2024

2023

Mapping user behaviors to identify professional accounts in Ethereum using semi-supervised learning.

Júlia Almeida Valadares, Saulo Moraes Villela, Heder Soares Bernardino, Glauber Dias Gonçalves, Alex Borges Vieira

Expert Syst. Appl., November, 2023

Graph Cuts and Deep Neural Networks for Fire Detection.

Davi Magalhães Pereira, Marcelo Bernardes Vieira, Saulo Moraes Villela

Proceedings of the 36th SIBGRAPI Conference on Graphics, Patterns and Images, 2023

2022

Poststack Seismic Data Compression Using a Generative Adversarial Network.

Kevyn Swhants Ribeiro, Ana Paula Schiavon, João Paulo Navarro, Marcelo Bernardes Vieira, Saulo Moraes Villela, Pedro Mário Cruz e Silva

IEEE Geosci. Remote. Sens. Lett., 2022

Analysis of account behaviors in Ethereum during an economic impact event.

Pedro Henrique F. S. Oliveira, Daniel Muller Rezende, Heder Soares Bernardino, Saulo Moraes Villela, Alex Borges Vieira

CoRR, 2022

Previsão da Classe de Frequência de Acesso de Objetos em Serviços de Armazenamento em Nuvem.

Flávio A. A. Motta, Patrick R. P. Lemes, Glauber D. Golçalves, Heder S. Bernardino, Saulo Moraes Villela, Alex Borges Vieira

Proceedings of the 40th Brazilian Symposium on Computer Networks and Distributed Systems, 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

Combining Neural Networks and a Color Classifier for Fire Detection.

Davi Magalhães Pereira, Marcelo Bernardes Vieira, Saulo Moraes Villela

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Fighting Under-price DoS Attack in Ethereum with Machine Learning Techniques.

José Eduardo de Azevedo Sousa, Vinicius C. Oliveira, Júlia Almeida Valadares, Alex Borges Vieira, Heder S. Bernardino, Saulo Moraes Villela, Glauber Dias Gonçalves

SIGMETRICS Perform. Evaluation Rev., 2021

Analyzing Transaction Confirmation in Ethereum Using Machine Learning Techniques.

Vinicius C. Oliveira, Júlia Almeida Valadares, José Eduardo de Azevedo Sousa, Alex Borges Vieira, Heder Soares Bernardino, Saulo Moraes Villela, Glauber Dias Gonçalves

SIGMETRICS Perform. Evaluation Rev., 2021

Weighted voting of multi-stream convolutional neural networks for video-based action recognition using optical flow rhythms.

André de Souza Brito, Marcelo Bernardes Vieira, Saulo Moraes Villela, Hemerson Tacon, Hugo de Lima Chaves, Helena de Almeida Maia, Darwin Ttito Concha, Hélio Pedrini

J. Vis. Commun. Image Represent., 2021

An analysis of the fees and pending time correlation in Ethereum.

José Eduardo de Azevedo Sousa, Vinicius C. Oliveira, Júlia Valadares, Glauber Dias Gonçalves, Saulo Moraes Villela, Heder Soares Bernardino, Alex Borges Vieira

Int. J. Netw. Manag., 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

Improving the one-against-all binary approach for multiclass classification using balancing techniques.

Warley Almeida Silva, Saulo Moraes Villela

Appl. Intell., 2021

Identifying User Behavior Profiles in Ethereum Using Machine Learning Techniques.

Júlia Almeida Valadares, Vinicius C. Oliveira, José Eduardo de Azevedo Sousa, Heder S. Bernardino, Saulo Moraes Villela, Alex Borges Vieira, Glauber D. Gonçalves

Proceedings of the 2021 IEEE International Conference on Blockchain, 2021

2020

Large margin classifiers to generate synthetic data for imbalanced datasets.

Marcelo Ladeira Marques, Saulo Moraes Villela, Carlos Cristiano Hasenclever Borges

Appl. Intell., 2020

Multi-stream Architecture with Symmetric Extended Visual Rhythms for Deep Learning Human Action Recognition.

Hemerson Tacon, André de Souza Brito, Hugo de Lima Chaves, Marcelo Bernardes Vieira, Saulo Moraes Villela, Helena de Almeida Maia, Darwin Ttito Concha, Hélio Pedrini

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Filter Learning from Deep Descriptors of a Fully Convolutional Siamese Network for Tracking in Videos.

Hugo de Lima Chaves, Kevyn Swhants Ribeiro, André de Souza Brito, Hemerson Tacon, Marcelo Bernardes Vieira, Augusto Santiago Cerqueira, Saulo Moraes Villela, Helena de Almeida Maia, Darwin Ttito Concha, Hélio Pedrini

Proceedings of the 15th International Joint Conference on Computer Vision, 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

Ufjf-Mltk: a framework for machine learning algorithms.

Mateus Coutinho Marim, Alessandreia Marta de Oliveira, Saulo Moraes Villela

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

Learnable Visual Rhythms Based on the Stacking of Convolutional Neural Networks for Action Recognition.

Helena Almeida Maia, Marcos Roberto e Souza, Anderson Santos, Hélio Pedrini, Hemerson Tacon, André de Souza Brito, Hugo de Lima Chaves, Marcelo Bernardes Vieira, Saulo Moraes Villela

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Human Action Recognition Using Convolutional Neural Networks with Symmetric Time Extension of Visual Rhythms.

Hemerson Tacon, André de Souza Brito, Hugo de Lima Chaves, Marcelo Bernardes Vieira, Saulo Moraes Villela, Helena de Almeida Maia, Darwin Ttito Concha, Hélio Pedrini

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 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

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

Metaheuristics in the Project of Cellular Automata for Key Generation in Stream Cipher Algorithms.

André de Souza Brito, Stanio Sa Rosario Furtado Soares, Saulo Moraes Villela

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

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

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

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