Mariane Barros Neiva

According to our database, Mariane Barros Neiva authored at least 14 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks.

Mariane Barros Neiva, Odemir M. Bruno

CoRR, 2023

ICD-10 - ORPHA: An Interactive Complex Network Model for Brazilian Rare Diseases.

Mariane Barros Neiva, Bibiana Mello de Oliveira, Amanda Maria Schmidt, Victória Machado Scheibe, Júlia Cordeiro Milke, Mariana Lopes dos Santos, Diego Bettiol Yamada, Márcio Eloi Colombo Filho, Giovane Thomazini Soares, Yasmin de Araújo Ribeiro, Odemir Martinez Bruno, Têmis Maria Félix, Domingos Alves, RARAS Network group

Proceedings of the CENTERIS 2023 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2023

Quality analysis and study of tuberculosis diagnostic data.

Ana Clara de Andrade Mioto, Pedro Emilio Andrade Martins, Gabriel Modina, Domingos Alves, Vinícius Costa Lima, Mariane Barros Neiva, Filipe Andrade Bernardi

Proceedings of the CENTERIS 2023 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2023

2022

National Network for Rare Diseases in Brazil: The Computational Infrastructure and Preliminary Results.

Diego Bettiol Yamada, Filipe Andrade Bernardi, Márcio Eloi Colombo Filho, Mariane Barros Neiva, Vinícius Costa Lima, André Luiz Teixeira Vinci, Bibiana Mello de Oliveira, Têmis Maria Félix, Domingos Alves

Proceedings of the Computational Science - ICCS 2022, 2022

Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases.

Isabelle Carvalho, Mariane Barros Neiva, Newton Shydeo Brandão Miyoshi, Nathalia Yukie Crepaldi, Filipe Andrade Bernardi, Vinícius Costa Lima, Ketlin Fabri dos Santos, Ana Clara de Andrade Mioto, Mariana Tavares Mozini, Rafael Mello Galliez, Mauro Niskier Sanchez, Afrânio Lineu Kritski, Domingos Alves

Proceedings of the Computational Science - ICCS 2022, 2022

Scaling laws and spatial effects of Brazilian health regions: a research protocol.

Giovane Thomazini Soares, Diego Bettiol Yamada, Filipe Andrade Bernardi, Mariane Barros Neiva, Luis Pedro Lombardi Junior, André Luiz Teixeira Vinci, Ana Clara de Andrade Mioto, Domingos Alves

Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

Informed Consent Form Automated Validation, The Brazilian Rare Disease Network Case Proposal.

Mariane Barros Neiva, André Luiz Teixeira Vinci, Diego Bettiol Yamada, Filipe Andrade Bernardi, Giovane Thomazini Soares, Vinícius Costa Lima, Domingos Alves, Têmis Maria Félix

Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

A proposal for a set of attributes relevant for Web portal data quality: The Brazilian Rare Disease Network case.

Filipe Andrade Bernardi, Domingos Alves, Mariane Barros Neiva, Diego Bettiol Yamada, Vinícius Costa Lima, André Vinci, Giovane Thomazini Soares, Rui Rijo, Têmis Maria Félix

Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

2021

COVID-19 BR: A web portal for COVID-19 information in Brazil.

Isabelle Carvalho, Filipe Andrade Bernardi, Mariane Barros Neiva, Vinícius Costa Lima, Lariza Laura de Oliveira, Newton Shydeo Brandão Miyoshi, Tiago Lara Michelin Sanches, Francisco Barbosa-Junior, Nathalia Yukie Crepaldi, Diego Bettiol Yamada, Domingos Alves

Proceedings of the CENTERIS 2021 - International Conference on ENTERprise Information Systems / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021, 2021

2020

Social Interaction Layers in Complex Networks for the Dynamical Epidemic Modeling of COVID-19 in Brazil.

Leonardo F. S. Scabini, Lucas Correia Ribas, Mariane Barros Neiva, Altamir G. B. Junior, Alex Josué Flórez Farfán, Odemir M. Bruno

CoRR, 2020

2019

Distance transform network for shape analysis.

Lucas Correia Ribas, Mariane Barros Neiva, Odemir Martinez Bruno

Inf. Sci., 2019

2018

Improving texture extraction and classification using smoothed morphological operators.

Mariane Barros Neiva, Antoine Vacavant, Odemir Martinez Bruno

Digit. Signal Process., 2018

2017

Improving LBP and its variants using anisotropic diffusion.

Mariane Barros Neiva, Patrick Guidotti, Odemir M. Bruno

CoRR, 2017

2016

Binary Distance Transform to Improve Feature Extraction.

Mariane Barros Neiva, Antoine Manzanera, Odemir Martinez Bruno

CoRR, 2016