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Arlindo Rodrigues Galvão Filho
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2020 – today
- 2025
- [c22]Elisa Ayumi Masasi de Oliveira, Luiza Martins De Freitas Cintra, Gustavo Higino Webster Barbosa, Rafael Teixeira Sousa, Arlindo Rodrigues Galvão Filho:
Leveraging Immersive Reality and LLMs for Social Reintegration: AI-Driven Skill Development in Correctional Rehabilitation. AIxVR 2025: 257-260 - [c21]Meryck Felipe Brito Da Silva, Igor Henrique Sanches, Pedro Koziel Diniz, Rodrigo Mendes De Carvalho, Francisco Lucas Feitosa, Ana Carolina de Amorim Barros, João Pedro De Castro Gomes Fernandes, Cleiver Batista Da Silva, Jonas Gomes Da Silva Junior, Arlindo Rodrigues Galvão Filho, Carolina Horta Andrade:
Creating an Olfactory Mask Dataset using Computer Vision and LLMs for Virtual Reality Environments. AIxVR 2025: 340-347 - [c20]Meryck Felipe Brito Da Silva, Pedro Koziel Diniz, Rodrigo Mendes De Carvalho, Miguel Carlos De Almeida Neto, Thalles Haquela Brito Da Silva, Ana Carolina de Amorim Barros, Yasmim Thasla Santos Ferreira, Francisco Lucas Feitosa, João Pedro De Castro Gomes Fernandes, Cleiver Batista Da Silva, Jonas Gomes Da Silva Junior, Alexandre Gomes de Siqueira, Arlindo Rodrigues Galvão Filho, Carolina Horta Andrade:
SOFIA: Advancements in Olfactory Stimuli in Virtual Reality for Immersive Multisensory Experiences and Potential Applications in the Industry 5.0. AIxVR 2025: 419-424 - [c19]Diogo Fernandes Costa Silva, Arthur Ricardo De Sousa Vitória, Arlindo Rodrigues Galvão Filho:
Deep Neural Garbage Recognition: An Augmented Reality Study Case. AIxVR 2025: 425-428 - 2024
- [j3]Meryck Felipe Brito Da Silva
, Igor Henrique Sanches, Joyce Villa Verde Bastos Borba
Elevating Virtual Reality Experiences with Olfactory Integration: A Preliminary Review. J. Braz. Comput. Soc. 30(1): 639-652 (2024) - [c18]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 - [c17]Arlindo Rodrigues Galvão Filho, Carolina Rodrigues Andrade, Raylane Pereira Gomes, Lilian Carla Carneiro, Melissa Ameloti Gomes Avelino, Clarimar José Coelho:
Detection of hospital super bacteria MRSA from the hands of healthcare professionals using machine learning and hyperspectral imaging. EMBC 2024: 1-4 - [c16]Paulo Vitor Santana Silva
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
Enhancing Robustness in Audio Deepfake Detection for VR Applications using data augmentation and Mixup. SVR 2024: 266-269 - [c14]Elisa Ayumi Masasi de Oliveira
Improving VR Accessibility Through Automatic 360 Scene Description Using Multimodal Large Language Models. SVR 2024: 289-293 - 2023
- [c13]Douglas Vieira Do Nascimento
Live Birth Forecasting in Brazillian Health Regions with Tree-based Machine Learning Models. CBMS 2023: 85-90 - [c12]Gabriela Kaori Diógenes
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
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
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches. CoRR abs/2311.05051 (2023) - 2022
- [c8]Diogo Fernandes Costa Silva
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
Parallel regressions for variable selection using GPU. Computing 99(3): 219-234 (2017) - [c4]Rhelcris S. Sousa, Telma Woerle de Lima
Integer-based genetic algorithm for feature selection in multivariate calibration. CEC 2017: 2315-2320 - [c3]Arlindo Rodrigues Galvão Filho
A Stochastic Approach of SIRC Model Using Individual-Based Epidemiological Models. EPIA 2017: 778-788 - 2016
- [c2]Lauro C. M. de Paula
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
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
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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last updated on 2025-03-05 20:51 CET by the dblp team
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