Shara Shami Araújo Alves

According to our database, Shara Shami Araújo Alves authored at least 13 papers between 2017 and 2021.

Collaborative distances:

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

2021

Gender-based approach to estimate the human body fat percentage using Machine Learning.

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

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learning.

Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Francisco Hércules dos S. Silva, Shara Shami Araújo Alves, Pedro Pedrosa Rebouças Filho

Int. J. Hybrid Intell. Syst., 2020

An effective approach for CT lung segmentation using mask region-based convolutional neural networks.

Qinhua Hu, Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Shara S. A. Alves, Francisco Hércules dos S. Silva, Tao Han, Pedro Pedrosa Rebouças Filho

Artif. Intell. Medicine, 2020

Predicting body measures from 2D images using Convolutional Neural Networks.

João W. M. de Souza, Gabriel Bandeira Holanda, Roberto F. Ivo, Shara S. A. Alves, Suane Pires P. da Silva, Virgínia Xavier Nunes, Luiz Lannes Loureiro, C. H. Dias-Silva, Pedro Pedrosa Rebouças Filho

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A New Strategy for the Detection of Diabetic Retinopathy using a Smartphone App and Machine Learning Methods Embedded on Cloud Computer.

Shara Shami Araújo Alves, Alexis Galeno Matos, Jefferson Silva Almeida, Cilis Aragao Benevides, Caio Cesar Henrique Cunha, Rhuan Victor Crescencio Santiago, Renato Francisco Pereira, Pedro Pedrosa Rebouças Filho

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019

Automatic Lung Segmentation in CT Images Using Mask R-CNN for Mapping the Feature Extraction in Supervised Methods of Machine Learning.

Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, Shara S. A. Alves, Francisco Hércules dos S. Silva, Pedro Pedrosa Rebouças Filho

Proceedings of the Intelligent Systems Design and Applications, 2019

Evaluation of Heart Disease Diagnosis Approach using ECG Images.

Marcos Aurelio A. Ferreira Junior, Mateus Valentim Gurgel, Leandro Bezerra Marinho, Navar Medeiros M. e Nascimento, Suane Pires P. da Silva, Shara Shami A. Alves, Geraldo Luis Bezerra Ramalho, Pedro Pedrosa Rebouças Filho

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

A bi-directional evaluation-based approach for image retargeting quality assessment.

Saulo A. F. Oliveira, Shara S. A. Alves, João P. P. Gomes, Ajalmar R. da Rocha Neto

Comput. Vis. Image Underst., 2018

A New Approach to Diagnose Parkinson's Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis.

João Wellington M. Souza, Shara Shami A. Alves, Elizângela de S. Rebouças, Jefferson S. Almeida, Pedro Pedrosa Rebouças Filho

Comput. Intell. Neurosci., 2018

Health of Things Algorithms for Malignancy Level Classification of Lung Nodules.

Murillo Barata Rodrigues, Raul Victor Medeiros da Nóbrega, Shara Shami A. Alves, Pedro Pedrosa Rebouças Filho, João Batista Furlan Duarte, Arun Kumar Sangaiah, Victor Hugo C. de Albuquerque

IEEE Access, 2018

Estimation of the Energy Production in a Wind Farm Using Regression Methods and Wind Speed Forecast.

Pedro Pedrosa Rebouças Filho, Navar de Medeiros Mendonça e Nascimento, Shara Shami Araújo Alves, Samuel Luz Gomes, Cláudio Marques de Sá Medeiros

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Evolutionary Support Vector Regression via Genetic Algorithms: A Dual Approach.

Shara S. A. Alves, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Ananda L. Freire

Proceedings of the Advances in Computational Intelligence, 2017

A comparative study of deaf and non-deaf students' performance when using a Visual Java Debugger.

Marcos Devaner do Nascimento, Francisco Carlos de Mattos Brito Oliveira, Shara Shami Araújo Alves, Adriano Tavares de Freitas, Luiz Alexandre C. B. Gomes, Anderson Severo de Matos

Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017