Saulo Moraes Villela
Saulo Moraes Villela
Department of Computer Science, Federal University of Juiz de Fora
Потвърден имейл адрес: ufjf.edu.br
An analysis of the fees and pending time correlation in Ethereum
JE de Azevedo Sousa, V Oliveira, J Valadares, G Dias Goncalves, ...
International Journal of Network Management 31 (3), e2113, 2021
Incremental p-margin algorithm for classification with arbitrary norm
SM Villela, S de Castro Leite, RF Neto
Pattern Recognition 55, 261-272, 2016
Analyzing transaction confirmation in ethereum using machine learning techniques
VC Oliveira, J Almeida Valadares, JE A. Sousa, A Borges Vieira, ...
ACM SIGMETRICS Performance Evaluation Review 48 (4), 12-15, 2021
Feature selection from microarray data via an ordered search with projected margin
SM Villela, S de Castro Leite, RF Neto
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Residential energy consumption forecasting using deep learning models
PVB Ramos, SM Villela, WN Silva, BH Dias
Applied Energy 350, 121705, 2023
Fighting under-price DoS attack in ethereum with machine learning techniques
J Eduardo A. Sousa, VC Oliveira, J Almeida Valadares, A Borges Vieira, ...
ACM SIGMETRICS Performance Evaluation Review 48 (4), 24-27, 2021
Human action recognition using convolutional neural networks with symmetric time extension of visual rhythms
H Tacon, AS Brito, HL Chaves, MB Vieira, SM Villela, H de Almeida Maia, ...
International Conference on Computational Science and Its Applications, 351-366, 2019
Weighted voting of multi-stream convolutional neural networks for video-based action recognition using optical flow rhythms
A de Souza Brito, MB Vieira, SM Villela, H Tacon, H de Lima Chaves, ...
Journal of Visual Communication and Image Representation 77, 103112, 2021
Action recognition in videos using multi-stream convolutional neural networks
H de Almeida Maia, DT Concha, H Pedrini, H Tacon, A de Souza Brito, ...
Deep Learning Applications, 95-111, 2020
Applying pathfinding techniques on the development of an android game
PVF da Silva, SM Villela
Proceedings of SBGames 2016, 73-80, 2016
A novel ensemble approach based on balanced perceptrons applied to microarray datasets
KB Enes, SM Villela, RF Neto
2015 Brazilian Conference on Intelligent Systems (BRACIS), 186-191, 2015
Improving the one-against-all binary approach for multiclass classification using balancing techniques
WA Silva, SM Villela
Applied Intelligence 51 (1), 396-415, 2021
Analysis of account behaviors in ethereum during an economic impact event
PHFS Oliveira, DM Rezende, HS Bernardino, SM Villela, AB Vieira
arXiv preprint arXiv:2206.11846, 2022
Large margin classifiers to generate synthetic data for imbalanced datasets
M Ladeira Marques, S Moraes Villela, CC Hasenclever Borges
Applied Intelligence 50 (11), 3678-3694, 2020
Learnable Visual Rhythms Based on the Stacking of Convolutional Neural Networks for Action Recognition
H Maia, M Souza, A Santos, H Pedrini, H Tacon, A Brito, H Chaves, ...
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
Combining neural networks and a color classifier for fire detection
DM Pereira, MB Vieira, SM Villela
Brazilian Conference on Intelligent Systems, 139-153, 2022
Identifying user behavior profiles in ethereum using machine learning techniques
JA Valadares, VC Oliveira, JEDA Sousa, HS Bernardino, SM Villela, ...
2021 IEEE International Conference on Blockchain (Blockchain), 327-332, 2021
Identificaçao de perfis de comportamento de usuários no Ethereum utilizando técnicas de aprendizado de máquina
JA Valadares, VC Oliveira, JE de Azevedo Sousa, HS Bernardino, ...
Anais do IV Workshop em Blockchain: Teoria, Tecnologias e Aplicações, 60-73, 2021
Multi-stream Architecture with Symmetric Extended Visual Rhythms for Deep Learning Human Action Recognition.
H Tacon, A de Souza Brito, H de Lima Chaves, MB Vieira, SM Villela, ...
VISIGRAPP (5: VISAPP), 351-358, 2020
Metaheuristics in the project of cellular automata for key generation in stream cipher algorithms
A de Souza Brito, SSRF Soares, SM Villela
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
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