A Novel Ensemble Approach Based on Balanced Perceptrons Applied to Microarray Datasets. - Karen Braga Enes; Saulo Moraes Villela; Raul Fonseca Neto (BRACIS, 2015)

Feature Selection from Microarray Data via an Ordered Search with Projected Margin. - Saulo Moraes Villela; Saul de Castro Leite; Raul Fonseca Neto (IJCAI, 2015)

Version Space Reduction Based on Ensembles of Dissimilar Balanced Perceptrons. - Karen Braga Enes; Saulo Moraes Villela; Raul Fonseca Neto (IJCAI, 2016)

Incremental p-margin algorithm for classification with arbitrary norm. - Saulo Moraes Villela; Saul de Castro Leite; Raul Fonseca Neto (Pattern Recognit., 2016)

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 (CEC, 2018)

An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction. - Karen Braga Enes; Saulo Moraes Villela; Gisele Lobo Pappa; Raul Fonseca Neto (ICMLA, 2018)

An Ordered Search for Subset Selection in Support Vector Orthogonal Regression. - Paulo Vitor Freitas da Silva; Raul Fonseca Neto; Saulo Moraes Villela (BRACIS, 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 (ESANN, 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 (ICCSA (1), 2019)

Learnable Visual Rhythms Based on the Stacking of Convolutional Neural Networks for Action Recognition. - Helena Almeida Maia; Marcos Roberto e Souza; Anderson Santos 001; Hélio Pedrini; Hemerson Tacon; André de Souza Brito; Hugo de Lima Chaves; Marcelo Bernardes Vieira; Saulo Moraes Villela (ICMLA, 2019)

Ufjf-Mltk: a framework for machine learning algorithms. - Mateus Coutinho Marim; Alessandreia Marta de Oliveira; Saulo Moraes Villela (SBSI, 2019)

An Evolutionary Analytic Center Classifier. - Renan Motta Goulart; Saulo Moraes Villela; Carlos Cristiano Hasenclever Borges; Raul Fonseca Neto (BRACIS, 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 (VISIGRAPP (4: VISAPP), 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 (VISIGRAPP (5: VISAPP), 2020)

Large margin classifiers to generate synthetic data for imbalanced datasets. - Marcelo Ladeira Marques; Saulo Moraes Villela; Carlos Cristiano Hasenclever Borges (Appl. Intell., 2020)

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 (Blockchain, 2021)

Improving the one-against-all binary approach for multiclass classification using balancing techniques. - Warley Almeida Silva; Saulo Moraes Villela (Appl. Intell., 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)

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)

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)

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)

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)

Combining Neural Networks and a Color Classifier for Fire Detection. - Davi Magalhães Pereira; Marcelo Bernardes Vieira; Saulo Moraes Villela (BRACIS (2), 2022)

Procedural Content Generation using Reinforcement Learning and Entropy Measure as Feedback. - Paulo Vinícius Moreira Dutra; Saulo Moraes Villela; Raul Fonseca Neto (SBGAMES, 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 (SBRC, 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)

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)

Graph Cuts and Deep Neural Networks for Fire Detection. - Davi Magalhães Pereira; Marcelo Bernardes Vieira; Saulo Moraes Villela (SIBGRAPI, 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., 2023)

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)

Predicting Access Frequency for Cost-Effective Allocation in Tiered Cloud Storage. - Flávio A. A. Motta; Glauber Dias Gonçalves; Heder S. Bernardino; Saulo Moraes Villela; Alex Borges Vieira (NOMS, 2025)

Development of an Artificial Intelligence-Aided Software for Annotating Image Datasets. - Paulo Victor de Magalhães Rozatto; Luiz Maurílio da Silva Maciel; Marcelo Bernardes Vieira; Saulo Moraes Villela (SBSI, 2025)

Non-destructive leaf area estimation based on a semantic segmentation deep neural network. - Karla Gabriele Florentino da Silva; Luiz Maurílio da Silva Maciel; Saulo Moraes Villela; Hélio Pedrini; Leandro Elias Morais; Marcelo Bernardes Vieira (Comput. Electron. Agric., 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)

A projected gradient solution to the minimum connector problem with extensions to support vector machines. - Raul Fonseca Neto; Saulo Moraes Villela; Antônio de Pádua Braga (Pattern Recognit., 2025)

Analysis of the Behavior of Ethereum Accounts During an Economic Impact Event. - Pedro Henrique Filgueiras dos Santos Oliveira; Daniel Muller Rezende; Saulo Moraes Villela; Heder Soares Bernardino; Alex Borges Vieira; Glauber Dias Gonçalves (ACM Trans. Internet Techn., 2025)