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ORCIDSaulo Moraes Villela
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2020 – today
- 2025
[j12]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)- 2024
- [j11]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: 105620 (2024) - 2023
- [j10]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): 120438 (2023) - [c18]Davi Magalhães Pereira, Marcelo Bernardes Vieira, Saulo Moraes Villela:
Graph Cuts and Deep Neural Networks for Fire Detection. SIBGRAPI 2023: 79-84 - 2022
- [j9]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: 1-5 (2022) - [c17]Davi Magalhães Pereira, Marcelo Bernardes Vieira, Saulo Moraes Villela:
Combining Neural Networks and a Color Classifier for Fire Detection. BRACIS (2) 2022: 139-153 - [c16]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 - [c15]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: 391-404 - [i1]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 abs/2206.11846 (2022) - 2021
- [j8]Warley Almeida Silva, Saulo Moraes Villela:
Improving the one-against-all binary approach for multiclass classification using balancing techniques. Appl. Intell. 51(1): 396-415 (2021) - [j7]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) - [j6]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) - [j5]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: 103112 (2021) - [j4]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): 12-15 (2021) - [j3]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): 24-27 (2021) - [c14]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: 327-332 - 2020
- [j2]Marcelo Ladeira Marques, Saulo Moraes Villela, Carlos Cristiano Hasenclever Borges:
Large margin classifiers to generate synthetic data for imbalanced datasets. Appl. Intell. 50(11): 3678-3694 (2020) - [c13]Renan Motta Goulart, Saulo Moraes Villela, Carlos Cristiano Hasenclever Borges, Raul Fonseca Neto:
An Evolutionary Analytic Center Classifier. BRACIS 2020: 34-48 - [c12]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: 351-358 - [c11]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: 685-694
2010 – 2019
- 2019
- [c10]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 - [c9]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 - [c8]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: 351-366 - [c7]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: 1794-1799 - [c6]Mateus Coutinho Marim, Alessandreia Marta de Oliveira, Saulo Moraes Villela:
Ufjf-Mltk: a framework for machine learning algorithms. SBSI 2019: 63:1-63:8 - 2018
- [c5]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: 1-8 - [c4]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
- [j1]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) - [c3]Karen Braga Enes, Saulo Moraes Villela, Raul Fonseca Neto:
Version Space Reduction Based on Ensembles of Dissimilar Balanced Perceptrons. IJCAI 2016: 1448-1454 - 2015
- [c2]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 - [c1]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
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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