Saulo Moraes Villela

Publication Activity (10 Years)

Years Active: 2015-2025
Publications (10 Years): 31

Top Topics

Action Recognition

Machine Learning

Top Venues

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)
Kevyn Swhants dos Santos Ribeiro, Marcelo Bernardes Vieira, Saulo Moraes Villela, Marcelo Caniato Renhe, Hélio Pedrini, João Paulo Navarro
Composite loss function for 3-D poststack seismic data compression. Comput. Geosci. 189 (2024)
Júlia Almeida Valadares, Saulo Moraes Villela, Heder Soares Bernardino, Glauber Dias Gonçalves, Alex Borges Vieira
Mapping user behaviors to identify professional accounts in Ethereum using semi-supervised learning. Expert Syst. Appl. 229 (Part B) (2023)
Davi Magalhães Pereira, Marcelo Bernardes Vieira, Saulo Moraes Villela
Graph Cuts and Deep Neural Networks for Fire Detection. SIBGRAPI (2023)
Pedro Henrique F. S. Oliveira, Daniel Muller Rezende, Heder Soares Bernardino, Saulo Moraes Villela, Alex Borges Vieira
Analysis of account behaviors in Ethereum during an economic impact event. CoRR (2022)
Davi Magalhães Pereira, Marcelo Bernardes Vieira, Saulo Moraes Villela
Combining Neural Networks and a Color Classifier for Fire Detection. BRACIS (2) (2022)
Paulo Vinícius Moreira Dutra, Saulo Moraes Villela, Raul Fonseca Neto
Procedural Content Generation using Reinforcement Learning and Entropy Measure as Feedback. SBGAMES (2022)
Kevyn Swhants Ribeiro, Ana Paula Schiavon, João Paulo Navarro, Marcelo Bernardes Vieira, Saulo Moraes Villela, Pedro Mário Cruz e Silva
Poststack Seismic Data Compression Using a Generative Adversarial Network. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Flávio A. A. Motta, Patrick R. P. Lemes, Glauber D. Golçalves, Heder S. Bernardino, Saulo Moraes Villela, Alex Borges Vieira
Previsão da Classe de Frequência de Acesso de Objetos em Serviços de Armazenamento em Nuvem. SBRC (2022)
José Eduardo de Azevedo Sousa, Vinicius C. Oliveira, Júlia Almeida Valadares, Alex Borges Vieira, Heder S. Bernardino, Saulo Moraes Villela, Glauber Dias Gonçalves
Fighting Under-price DoS Attack in Ethereum with Machine Learning Techniques. SIGMETRICS Perform. Evaluation Rev. 48 (4) (2021)
Júlia Almeida Valadares, Vinicius C. Oliveira, José Eduardo de Azevedo Sousa, Heder S. Bernardino, Saulo Moraes Villela, Alex Borges Vieira, Glauber D. Gonçalves
Identifying User Behavior Profiles in Ethereum Using Machine Learning Techniques. Blockchain (2021)
Vinicius C. Oliveira, Júlia Almeida Valadares, José Eduardo de Azevedo Sousa, Alex Borges Vieira, Heder Soares Bernardino, Saulo Moraes Villela, Glauber Dias Gonçalves
Analyzing Transaction Confirmation in Ethereum Using Machine Learning Techniques. SIGMETRICS Perform. Evaluation Rev. 48 (4) (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)
José Eduardo de Azevedo Sousa, Vinicius C. Oliveira, Júlia Valadares, Glauber Dias Gonçalves, Saulo Moraes Villela, Heder Soares Bernardino, Alex Borges Vieira
An analysis of the fees and pending time correlation in Ethereum. Int. J. Netw. Manag. 31 (3) (2021)
Warley Almeida Silva, Saulo Moraes Villela
Improving the one-against-all binary approach for multiclass classification using balancing techniques. Appl. Intell. 51 (1) (2021)
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
Weighted voting of multi-stream convolutional neural networks for video-based action recognition using optical flow rhythms. J. Vis. Commun. Image Represent. 77 (2021)
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
Filter Learning from Deep Descriptors of a Fully Convolutional Siamese Network for Tracking in Videos. VISIGRAPP (4: VISAPP) (2020)
Renan Motta Goulart, Saulo Moraes Villela, Carlos Cristiano Hasenclever Borges, Raul Fonseca Neto
An Evolutionary Analytic Center Classifier. BRACIS (2020)
Marcelo Ladeira Marques, Saulo Moraes Villela, Carlos Cristiano Hasenclever Borges
Large margin classifiers to generate synthetic data for imbalanced datasets. Appl. Intell. 50 (11) (2020)
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
Multi-stream Architecture with Symmetric Extended Visual Rhythms for Deep Learning Human Action Recognition. VISIGRAPP (5: VISAPP) (2020)
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
Human Action Recognition Using Convolutional Neural Networks with Symmetric Time Extension of Visual Rhythms. ICCSA (1) (2019)
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)
Mateus Coutinho Marim, Alessandreia Marta de Oliveira, Saulo Moraes Villela
Ufjf-Mltk: a framework for machine learning algorithms. SBSI (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)
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
Learnable Visual Rhythms Based on the Stacking of Convolutional Neural Networks for Action Recognition. ICMLA (2019)
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)
André de Souza Brito, Stanio Sa Rosario Furtado Soares, Saulo Moraes Villela
Metaheuristics in the Project of Cellular Automata for Key Generation in Stream Cipher Algorithms. CEC (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)
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)