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ORCIDArlindo Rodrigues Galvão Filho
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2020 – today
- 2024
[c17]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: 461-466- [c16]Paulo Vitor Santana Silva
, Arthur Ricardo De Sousa Vitória, Diogo Fernandes Costa Silva, Arlindo Rodrigues Galvão Filho:
Attention Guidance through Video Script: A Case Study of Object Focusing on 360º VR Video Tours. SVR 2024: 247-251 - [c15]Gustavo dos Reis Oliveira, Rafaello Virgilli, Lucas Alcântara Souza, Lucas Stefanel Gris, Evellyn Nicole Machado Rosa, Isadora Stéfany Rezende Remigio Mesquita, Daniel Tunnermann, Arlindo Rodrigues Galvão Filho:
Enhancing Robustness in Audio Deepfake Detection for VR Applications using data augmentation and Mixup. SVR 2024: 266-269 - [c14]Elisa Ayumi Masasi de Oliveira, Diogo Fernandes Costa Silva, Arlindo Rodrigues Galvão Filho:
Improving VR Accessibility Through Automatic 360 Scene Description Using Multimodal Large Language Models. SVR 2024: 289-293 - 2023
- [c13]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: 85-90 - [c12]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: 329-334 - [c11]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: 321-329 - [c10]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: 2870-2874 - [c9]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: 1-5 - [i1]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 abs/2311.05051 (2023) - 2022
- [c8]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: 184-188 - [c7]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 - [p1]Arlindo Rodrigues Galvão Filho, Filipe de S. L. Ribeiro, Rafael Viana de Carvalho, Clarimar José Coelho:
Turbine Hill Chart Generation Using Artificial Neural Network. Advances in Intelligent Systems Research and Innovation 2022: 369-383 - 2020
- [c6]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: 599-612 - [c5]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: 457-462
2010 – 2019
- 2017
- [j2]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:
Parallel regressions for variable selection using GPU. Computing 99(3): 219-234 (2017) - [c4]Rhelcris S. Sousa, Telma Woerle de Lima, Lauro C. M. de Paula, Roney Lopes Lima, Arlindo R. G. Filho, Anderson da Silva Soares:
Integer-based genetic algorithm for feature selection in multivariate calibration. CEC 2017: 2315-2320 - [c3]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: 778-788 - 2016
- [c2]Lauro C. M. de Paula, Anderson da Silva Soares, Telma Woerle de Lima, Arlindo R. G. Filho, Clarimar José Coelho:
Variable Selection for Multivariate Calibration in Chemometrics: A Real-World Application with Building Blocks Disruption Problem. GECCO (Companion) 2016: 1031-1034 - 2014
- [j1]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): 31-42 (2014) - 2013
- [c1]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: 1053-1059
Coauthor Index
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