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ORCIDThaís Gaudencio do Rêgo
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2020 – today
- 2024
[j6]Diego R. B. da Silva
, Tiago Maritan U. de Araújo, Thaís Gaudencio do Rêgo, Manuella Aschoff Cavalcanti Brandão Lima, Luiz Marcos Garcia Gonçalves:
A multiple stream architecture for the recognition of signs in Brazilian sign language in the context of health. Multim. Tools Appl. 83(7): 19767-19785 (2024)- [j5]Bruno Barufaldi, Jordy V. Gomes, Telmo de Menezes e Silva Filho, Thaís Gaudencio do Rêgo, Yuri Malheiros, Trevor Lewis Vent, Aimilia Gastounioti, Andrew D. A. Maidment:
Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials. Pattern Recognit. 153: 110494 (2024) - 2023
- [j4]Virginia Pinto Campos, Luiz M. G. Gonçalves, Wesnydy L. Ribeiro, Tiago Maritan Ugulino de Araújo, Thaís Gaudencio do Rêgo, Pedro H. V. Figueiredo, Suanny Vieira, Thiago F. S. Costa, Caio Moraes, Alexandre C. S. Cruz, Felipe Araújo, Guido Lemos de Souza Filho:
Machine Generation of Audio Description for Blind and Visually Impaired People. ACM Trans. Access. Comput. 16(2): 14:1-14:28 (2023) - 2022
- [c12]Lucas Fernandes Lucena, Telmo de Menezes e Silva Filho, Thaís Gaudencio do Rêgo, Yuri Malheiros:
Automatic Recognition of Units of Measurement in Product Descriptions from Tax Invoices Using Neural Networks. PROPOR 2022: 156-165 - [c11]Humberto Navarro de Carvalho, Lucas Pontes Castro, Thaís Gaudencio do Rêgo, Telmo de Menezes e Silva Filho, Yuri de A. M. Barbosa, Leonardo Vidal Batista, Amílcar Soares, Vinicius Prado da Fonseca:
Evaluating Data Representations for Object Recognition During Pick-and-Place Manipulation Tasks. SysCon 2022: 1-6 - 2021
- [c10]Lucca R. Peregrino, Jordy V. Gomes, Thaís Gaudencio do Rêgo, Yuri de A. M. Barbosa, Telmo de Menezes e Silva Filho, Andrew D. A. Maidment, Bruno Barufaldi:
Automatic Segmentation of Mammary Tissue using Computer Simulations of Breast Phantoms and Deep-learning Techniques. BIOSIGNALS 2021: 252-259 - [c9]Itamar Rocha Filho, João Pedro Vasconcelos Teixeira, João Wallace Lucena Lins, Felipe Honorato de Sousa, Ana Clara Chaves Sousa, Manuel Ferreira Junior, Thaís Ramos, Cecília Silva, Thaís Gaudencio do Rêgo, Yuri de Almeida Malheiros, Telmo de Menezes e Silva Filho:
Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought. BRACIS (2) 2021: 254-264 - [i1]Thaís Ramos, Nilbson R. O. Galindo, Raúl Arias-Carrasco, Cecília Silva, Vinicius Maracaja-Coutinho, Thaís Gaudencio do Rêgo:
RNAmining: A machine learning stand-alone and web server tool for RNA coding potential prediction. F1000Research 10: 323 (2021) - 2020
- [c8]Diego R. B. da Silva, Tiago Maritan U. Araújo, Thaís Gaudencio do Rêgo, Manuella Aschoff Cavalcanti Brandão Lima:
A Two-Stream Model Based on 3D Convolutional Neural Networks for the Recognition of Brazilian Sign Language in the Health Context. WebMedia 2020: 5-12
2010 – 2019
- 2019
- [c7]Marília Lopes, Ary Santos, Cecília Silva, Lucas Lima, Douglas F. L. Lima, Bianca Costa, Desiré Magalhães, Darlyane Rodrigues, Thaís Gaudencio do Rêgo, Leandro Pernambucano:
A Deep Learning Approach to Detect Hyoid Bone in Ultrasound Exam. BRACIS 2019: 551-555 - [c6]Vinícius Veríssimo, Cecília Silva, Vitor Hanael, Caio Moraes, Rostand Costa, Tiago Maritan U. Araújo, Manuella Aschoff, Thaís Gaudencio:
A study on the use of sequence-to-sequence neural networks for automatic translation of brazilian portuguese to LIBRAS. WebMedia 2019: 101-108 - [c5]Douglas F. L. Lima, Armando S. Salvador Neto, Ewerton N. Santos, Tiago Maritan U. Araújo, Thaís Gaudencio do Rêgo:
Using convolutional neural networks for fingerspelling sign recognition in brazilian sign language. WebMedia 2019: 109-115 - [c4]Caio César Moraes de Oliveira, Thaís Gaudencio do Rêgo, Manuella Aschoff Cavalcanti Brandão Lima, Tiago Maritan Ugulino de Araújo:
Analysis of rule-based machine translation and neural machine translation approaches for translating portuguese to LIBRAS. WebMedia 2019: 117-124 - [c3]Vinícius Wanderley, Leonardo Villeth, Virginia Pinto Campos, Tiago Maritan Ugulino de Araújo, Thaís Gaudencio:
Identification of speechless intervals in audio tracks using convolutional neural networks. WebMedia 2019: 153-160 - 2018
- [c2]Andy Anand Gajadhar, Renan Cipriano Moioli, Bianca Karla Amorim Sousa de Melo, Ana Carolina Bione Kunicki, Andre Salles Cunha Peres, Thaís Gaudencio do Rêgo:
Neural decoding with SVM and feature selection in a rat active tactile discrimination task. IJCNN 2018: 1-6 - 2016
- [c1]Hugo Neves de Oliveira, Jefersson Alex dos Santos, Matheus C. de Melo, Thaís Gaudencio do Rêgo, Leonardo Vidal Batista:
Information Theory-Based Detection of Noisy Bit Planes in Medical Images. SIBGRAPI 2016: 32-39 - 2012
- [j3]Thaís Gaudencio do Rêgo, Helge G. Roider, Francisco de A. T. de Carvalho, Ivan G. Costa:
Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models. Bioinform. 28(18): 2297-2303 (2012) - 2011
- [j2]Ivan G. Costa, Helge G. Roider, Thaís Gaudencio do Rêgo, Francisco de A. T. de Carvalho:
Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models. BMC Bioinform. 12(S-1): S29 (2011)
2000 – 2009
- 2004
- [j1]Sávio Torres de Farias, Marx G. van der Linden, Thaís Gaudencio do Rêgo, Demétrius A. M. Araújo, Maria Christina M. Bonato:
Thermo-search: lifestyle and thermostability analysis. Silico Biol. 4(3): 377-380 (2004)
Coauthor Index
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