Arlindo Rodrigues Galvão Filho

According to our database, Arlindo Rodrigues Galvão Filho authored at least 16 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Quality Control Based on Species Classification of Herbal Medicines Using Hyperspectral Imaging and Machine Learning.

Arlindo Rodrigues Galvão Filho, Laryssa Rosset Provensi, Lucimar Pinheiro Rosseto, Clarimar José Coelho

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Pancreatic Cancer Detection Using Hyperspectral Imaging and Machine Learning.

Arlindo Rodrigues Galvão Filho, Isabela Jubé Wastowski, Marise A. R. Moreira, Maria A. de P. C. Cysneiros, Clarimar José Coelho

Proceedings of the IEEE International Conference on Image Processing, 2023

Live Births Forecasting Across Health Regions of Goiás Using Artificial Neural Networks: A Clustering Approach.

Arthur Ricardo De Sousa Vitória, Adriel Lenner Vinhal Mori, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Live Birth Forecasting in Brazillian Health Regions with Tree-based Machine Learning Models.

Douglas Vieira Do Nascimento, Rafael Teixeira Sousa, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Live Births Prediction using Legendre Memory Unit: A Case Study for the Health Regions of Goiás.

Gabriela Kaori Diógenes, Arthur Ricardo De Sousa Vitória, Diogo Fernandes Costa Silva, Daniel do Prado Pagotto, Rafael Teixeira Sousa, Arlindo Rodrigues Galvão Filho

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches.

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

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

CEIA-NLP at CASE 2022 Task 1: Protest News Detection for Portuguese.

Diogo Fernandes Costa Silva, Adalberto Ferreira Barbosa Junior, Gabriel Marques, Anderson da Silva Soares, Arlindo Rodrigues Galvão Filho

Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022

Turbine Hill Chart Generation Using Artificial Neural Network.

Arlindo Rodrigues Galvão Filho, Filipe de S. L. Ribeiro, Rafael Viana de Carvalho, Clarimar José Coelho

Proceedings of the Advances in Intelligent Systems Research and Innovation, 2022

2020

Generation of Two Turbine Hill Chart Using Artificial Neural Networks.

Arlindo Rodrigues Galvão Filho, Filipe de S. L. Ribeiro, Rafael Viana de Carvalho, Clarimar José Coelho

Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

Detection of Tumoral Epithelial Lesions Using Hyperspectral Imaging and Deep Learning.

Daniel Vitor de Lucena, Anderson da Silva Soares, Clarimar José Coelho, Isabela Jubé Wastowski, Arlindo Rodrigues Galvão Filho

Proceedings of the Computational Science - ICCS 2020, 2020

2017

Parallel regressions for variable selection using GPU.

Lauro Cássio Martins de Paula, Anderson da Silva Soares, Telma W. L. Soares, Arlindo R. G. Filho, Clarimar José Coelho, Alexandre C. B. Delbem, Wellington Santos Martins

Computing, 2017

A Stochastic Approach of SIRC Model Using Individual-Based Epidemiological Models.

Arlindo Rodrigues Galvão Filho, Telma Woerle de Lima, Anderson da Silva Soares, Clarimar José Coelho

Proceedings of the Progress in Artificial Intelligence, 2017

Integer-based genetic algorithm for feature selection in multivariate calibration.

Rhelcris S. Sousa, Telma Woerle de Lima, Lauro C. M. de Paula, Roney Lopes Lima, Arlindo R. G. Filho, Anderson da Silva Soares

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Variable Selection for Multivariate Calibration in Chemometrics: A Real-World Application with Building Blocks Disruption Problem.

Lauro C. M. de Paula, Anderson da Silva Soares, Telma Woerle de Lima, Arlindo R. G. Filho, Clarimar José Coelho

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2014

Parallelization of a Modified Firefly Algorithm using GPU for Variable Selection in a Multivariate Calibration Problem.

Lauro C. M. de Paula, Anderson da Silva Soares, Telma W. L. Soares, Alexandre C. B. Delbem, Clarimar José Coelho, Arlindo Rodrigues Galvão Filho

Int. J. Nat. Comput. Res., 2014

2013

Multi-objective evolutionary algorithm for variable selection in calibration problems: A case study for protein concentration prediction.

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2013