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Journal Articles
- 2022
[j4]Elene Firmeza Ohata
, César Lincoln Cavalcante Mattos, Samuel Luz Gomes, Elizângela de S. Rebouças, Paulo Antonio Leal Rego:
A Text Classification Methodology to Assist a Large Technical Support System. IEEE Access 10: 108413-108421 (2022)- [j3]Pedro Henrique Feijo de Sousa, Jefferson Silva Almeida, Elene Firmeza Ohata, Fabricio Gonzalez Nogueira, Bismark Claure Torrico, Victor Hugo C. de Albuquerque, Mohammad Mehedi Hassan, Neeraj Kumar, Md. Rafiul Hassan, Pedro Pedrosa Rebouças Filho:
Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches. IEEE Trans. Intell. Transp. Syst. 23(10): 19807-19816 (2022) - 2021
- [j2]Elene Firmeza Ohata, Gabriel Maia Bezerra, João Victor Souza das Chagas, Aloisio Vieira Lira Neto, Adriano Bessa Albuquerque, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning. IEEE CAA J. Autom. Sinica 8(1): 239-248 (2021) - [j1]Elene Firmeza Ohata, João Victor Souza das Chagas, Gabriel Maia Bezerra, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho:
A novel transfer learning approach for the classification of histological images of colorectal cancer. J. Supercomput. 77(9): 9494-9519 (2021)
Conference and Workshop Papers
- 2024
- [c10]Gabriel Maia Bezerra, Elene F. Ohata, Luiz Lannes Loureiro, Victor Z. Bittencourt, Valden Luis Matos Capistrano, Atslands R. da Rocha, Pedro Pedrosa Rebouças Filho:
Estimation of Bone Mineral Density using Machine Learning and SHapley Additive exPlanations. CBMS 2024: 424-429 - [c9]Raiane Rocha Reis, Suane Pires P. da Silva, Elene Firmeza Ohata, Thiago F. Portela, Glendo de Freitas Guimarães, Aderaldo Irineu Levartoski de Araujo, Pedro Pedrosa Rebouças Filho, Paulo A. L. Rego:
A New Approach for Eye Diagram Analysis Using Deep Transfer Learning for Identification and Intensity Classification of Rainfall Effect on Signals Transmitted via Free-Space Optical Communication. IJCNN 2024: 1-8 - [c8]João Wellington M. Souza, Elene F. Ohata, Navar Medeiros M. Nascimento, Shara S. A. Alves, Luiz Lannes Loureiro, Victor Z. Bittencourt, Valden Luis Matos Capistrano, Atslands R. da Rocha, Pedro Pedrosa Rebouças Filho:
Estimating anthropometric measurements through 2D images using machine learning with gender-based analysis. IJCNN 2024: 1-8 - 2022
- [c7]Gabriel Maia Bezerra, Elene Firmeza Ohata, Pedro Yuri Rodrigues Nunes, Levy dos Santos Silveira, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Pedro Pedrosa Rebouças Filho:
Estimating Bone Mineral Density Based on Age, Sex, and Anthropometric Measurements. BRACIS (1) 2022: 122-134 - 2021
- [c6]Shara S. A. Alves, Elene F. Ohata, Navar Medeiros M. e Nascimento, João W. M. de Souza, Gabriel Bandeira Holanda, Luiz Lannes Loureiro, Pedro Pedrosa Rebouças Filho:
Gender-based approach to estimate the human body fat percentage using Machine Learning. IJCNN 2021: 1-8 - 2020
- [c5]Lucas S. Fernandes, Francisco H. S. Silva, Elene F. Ohata, Aldísio Gonçalves Medeiros, Aloisio Vieira Lira Neto, Yuri Lenon Barbosa Nogueira, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho:
A Robust Automatic License Plate Recognition System for Embedded Devices. BRACIS 2020: 226-239 - [c4]Francisco H. S. Silva, Aldísio Gonçalves Medeiros, Elene F. Ohata, Pedro Pedrosa Rebouças Filho:
Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning. CBMS 2020: 126-131 - [c3]Aldísio Gonçalves Medeiros, Elene F. Ohata, Francisco H. S. Silva, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho:
An Approach to BI-RADS Uncertainty Levels Classification Via Deep Learning with Transfer Learning Technique. CBMS 2020: 603-608 - [c2]Antônio Carlos da Silva Barros, Elene F. Ohata, Suane Pires P. da Silva, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho:
An Innovative Approach of Textile Fabrics Identification from Mobile Images using Computer Vision based on Deep Transfer Learning. IJCNN 2020: 1-8 - [c1]Marcos A. Araujo Ferreira, Luís Fabrício de F. Souza, Francisco Hércules dos S. Silva, Elene Firmeza Ohata, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho:
Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines. IJCNN 2020: 1-8
Coauthor Index
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