Arlindo Rodrigues Galvão Filho

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 12

Top Topics

Using Artificial Neural Networks

Machine Learning

Friction Coefficient

Top Venues

Int. J. Nat. Comput. Res.

Publications

Arthur Ricardo De Sousa Vitória, Adriel Lenner Vinhal Mori, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho
Multi-Strain Dynamics: Modeling Dengue Transmission in Brazilian Regions with SIR Models. CBMS (2024)
Juliana Resplande Sant'Anna Gomes, Eduardo Augusto Santos Garcia, Adalberto Ferreira Barbosa Junior, Ruan Chaves Rodrigues, Diogo Fernandes Costa Silva, Dyonnatan Ferreira Maia, Nádia Félix Felipe da Silva, Arlindo Rodrigues Galvão Filho, Anderson da Silva Soares
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches. CoRR (2023)
Arlindo Rodrigues Galvão Filho, Isabela Jubé Wastowski, Marise A. R. Moreira, Maria A. de P. C. Cysneiros, Clarimar José Coelho
Pancreatic Cancer Detection Using Hyperspectral Imaging and Machine Learning. ICIP (2023)
Gabriela Kaori Diógenes, Arthur Ricardo De Sousa Vitória, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Rafael Teixeira Sousa, Arlindo Rodrigues Galvão Filho
Live Births Prediction using Legendre Memory Unit: A Case Study for the Health Regions of Goiás. CBMS (2023)
Arlindo Rodrigues Galvão Filho, Laryssa Rosset Provensi, Lucimar Pinheiro Rosseto, Clarimar José Coelho
Quality Control Based on Species Classification of Herbal Medicines Using Hyperspectral Imaging and Machine Learning. WHISPERS (2023)
Arthur Ricardo De Sousa Vitória, Adriel Lenner Vinhal Mori, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho
Live Births Forecasting Across Health Regions of Goiás Using Artificial Neural Networks: A Clustering Approach. ICHI (2023)
Douglas Vieira Do Nascimento, Rafael Teixeira Sousa, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho
Live Birth Forecasting in Brazillian Health Regions with Tree-based Machine Learning Models. CBMS (2023)
Diogo Fernandes Costa Silva, Adalberto Ferreira Barbosa Junior, Gabriel Marques, Anderson da Silva Soares, Arlindo Rodrigues Galvão Filho
CEIA-NLP at CASE 2022 Task 1: Protest News Detection for Portuguese. CASE@EMNLP (2022)
Juliana Resplande Sant'Anna Gomes, Eduardo Augusto Santos Garcia, Adalberto Ferreira Barbosa Junior, Ruan Chaves Rodrigues, Diogo Fernandes Costa Silva, Dyonnatan Ferreira Maia, Nádia Félix Felipe da Silva, Arlindo Rodrigues Galvão Filho, Anderson da Silva Soares
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches. IberLEF@SEPLN (2022)
Arlindo Rodrigues Galvão Filho, Filipe de S. L. Ribeiro, Rafael Viana de Carvalho, Clarimar José Coelho
Generation of Two Turbine Hill Chart Using Artificial Neural Networks. IEEE Conf. on Intelligent Systems (2020)
Daniel Vitor de Lucena, Anderson da Silva Soares, Clarimar José Coelho, Isabela Jubé Wastowski, Arlindo Rodrigues Galvão Filho
Detection of Tumoral Epithelial Lesions Using Hyperspectral Imaging and Deep Learning. ICCS (3) (2020)
Arlindo Rodrigues Galvão Filho, Telma Woerle de Lima, Anderson da Silva Soares, Clarimar José Coelho
A Stochastic Approach of SIRC Model Using Individual-Based Epidemiological Models. EPIA (2017)
Lauro C. M. de Paula, Anderson da Silva Soares, Telma W. L. Soares, Alexandre C. B. Delbem, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho
Parallelization of a Modified Firefly Algorithm using GPU for Variable Selection in a Multivariate Calibration Problem. Int. J. Nat. Comput. Res. 4 (1) (2014)
Daniel Vitor de Lucena, Telma Woerle de Lima, Anderson da Silva Soares, Alexandre C. B. Delbem, Arlindo Rodrigues Galvão Filho, Clarimar José Coelho, Gustavo Teodoro Laureano
Multi-objective evolutionary algorithm for variable selection in calibration problems: A case study for protein concentration prediction. IEEE Congress on Evolutionary Computation (2013)