J. Gomes

发表

ASTERI: image-based representation of EEG signals for motor imagery classification

W. P. dos Santos, J. Gomes, M. Rodrigues, 2022, Research on Biomedical Engineering.

Optimizing the molecular diagnosis of Covid-19 by combining RT-PCR and a pseudo-convolutional machine learning approach to characterize virus DNA sequences

Bruno José Torres Fernandes, W. P. dos Santos, Agostinho A. F. Júnior, 2020, bioRxiv.

COVID-SGIS: A Smart Tool for Dynamic Monitoring and Temporal Forecasting of Covid-19

M. A. de Santana, W. P. dos Santos, Valter Augusto de Freitas Barbosa, 2020, Frontiers in Public Health.

COVID-SGIS: A Smart Tool for Dynamic Monitoring and Temporal Forecasting of Covid-19

M. A. de Santana, W. P. dos Santos, Valter Augusto de Freitas Barbosa, 2020, Frontiers in Public Health.

Detection of major depressive disorder using vocal acoustic analysis and machine learning—an exploratory study

W. P. dos Santos, J. Gomes, J. M. S. Pereira, 2020 .

Covid-19 diagnosis by combining RT-PCR and pseudo-convolutional machines to characterize virus sequences

Bruno José Torres Fernandes, Agostinho A. F. Júnior, J. Gomes, 2020, Scientific Reports.

Detection of major depressive disorder, bipolar disorder, schizophrenia and generalized anxiety disorder using vocal acoustic analysis and machine learning: an exploratory study

W. P. dos Santos, J. Gomes, Caroline Wanderley Espinola, 2022, Research on Biomedical Engineering.

Classification of Parkinson’s disease motor phenotype: a machine learning approach

Marcelo R. Cairrao, K. Monte-Silva, André Fonseca, 2022, Journal of Neural Transmission.

Early diagnosis of Parkinson’s disease using EEG, machine learning and partial directed coherence

Juliana Carneiro Gomes, M. A. de Santana, W. P. dos Santos, 2020, Research on Biomedical Engineering.

The Efforts of Deep Learning Approaches for Breast Cancer Detection Based on X-Ray Images

Juliana Carneiro Gomes, Aras Masood Ismael, J. Gomes, 2021 .

IKONOS: an intelligent tool to support diagnosis of COVID-19 by texture analysis of X-ray images

Valter A. F. Barbosa, V. A. d. F. Barbosa, J. C. Gomes, 2020, Research on Biomedical Engineering.

Heg.IA: an intelligent system to support diagnosis of Covid-19 based on blood tests

V. A. d. F. Barbosa, J. C. Gomes, M. A. de Santana, 2020, medRxiv.

Rapid protocols to support COVID-19 clinical diagnosis based on hematological parameters

M. A. de Santana, R. G. de Souza, R. E. de Souza, 2021, Research on Biomedical Engineering.

Vocal acoustic analysis and machine learning for the identification of schizophrenia

Wellington Pinheiro dos Santos, Jessiane Mônica Silva Pereira, Juliana Carneiro Gomes, 2020, Research on Biomedical Engineering.

Feature selection based on dialectics to support breast cancer diagnosis using thermographic images

Mêuser Jorge Silva Valença, W. P. dos Santos, Maíra A. Santana, 2021, Research on Biomedical Engineering.

Hybrid Metaheuristics Applied to Image Reconstruction for an Electrical Impedance Tomography Prototype

Rafaela Covello de Freitas, Wellington P. dos Santos, Reiga R. Ribeiro, 2018 .

COVID-19’s influence on cardiac function: a machine learning perspective on ECG analysis

M. A. de Santana, W. P. dos Santos, J. Gomes, 2023, Medical & Biological Engineering & Computing.

Covid-19 Dynamic Monitoring and Real-Time Spatio-Temporal Forecasting

Valter A. F. Barbosa, M. A. de Santana, W. P. dos Santos, 2021, Frontiers in Public Health.

Detection of major depressive disorder using vocal acoustic analysis and machine learning—an exploratory study

J. C. Gomes, W. P. dos Santos, C. W. Espinola, 2020, Research on Biomedical Engineering.

Covid-19 rapid test by combining a Random Forest-based web system and blood tests

Valter A. F. Barbosa, V. A. d. F. Barbosa, J. C. Gomes, 2020, medRxiv.

Vocal acoustic analysis and machine learning for the identification of schizophrenia

W. P. dos Santos, J. Gomes, J. M. S. Pereira, 2020, Research on Biomedical Engineering.

Machine Learning Approaches for Temporal and Spatio-Temporal Covid-19 Forecasting: A Brief Review and a Contribution

M. A. de Santana, W. P. dos Santos, Valter Augusto de Freitas Barbosa, 2021, Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis.

Recognition of emotions in the elderly through facial expressions: Emotions biofeedback as a therapy support tool

Wellington C. Pinheiro, J. Gomes, M. Santana, 2022 .

Motor imagery classification using sparse representations: an exploratory study

W. P. dos Santos, J. Gomes, M. Rodrigues, 2023, Scientific reports.

Prediction of Care for Patients in a COVID-19 Pandemic Situation Based on Hematological Parameters

M. A. de Santana, R. E. de Souza, W. P. dos Santos, 2021, Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis.

Electrical impedance tomography image reconstruction based on backprojection and extreme learning machines

David Edson Ribeiro, Valter A. F. Barbosa, Valter Augusto de Freitas Barbosa, 2020, Research on Biomedical Engineering.

Music recommendation systems to support music therapy in patients with dementia: an exploratory study

M. A. de Santana, W. P. dos Santos, J. Gomes, 2023, Research on Biomedical Engineering.

An Intelligent Tool to Support Diagnosis of Covid-19 by Texture Analysis of Computerized Tomography X-ray Images and Machine Learning

M. A. de Santana, R. E. de Souza, W. P. dos Santos, 2021, Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis.

Covid-19's in�uence on cardiac function: a machine learning perspective on ECG analysis

Clarisse Lins de Lima, J. Gomes, A. Masood, 2022 .