Gabriel Bianchin de Oliveira

According to our database, Gabriel Bianchin de Oliveira authored at least 13 papers between 2020 and 2023.

Collaborative distances:

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

2023

TEMPROT: protein function annotation using transformers embeddings and homology search.

Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias

BMC Bioinform., December, 2023

Algorithmic Fairness Applied to the Multi-Label Classification Problem.

Ana Paula dos Santos Dantas, Gabriel Bianchin de Oliveira, Daiane Mendes de Oliveira, Hélio Pedrini, Cid C. de Souza, Zanoni Dias

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

The Multi-attribute Fairer Cover Problem.

Ana Paula dos Santos Dantas, Gabriel Bianchin de Oliveira, Hélio Pedrini, Cid C. de Souza, Zanoni Dias

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

Prediction of Protein Molecular Functions Using Transformers.

Felipe Lopes de Mello, Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias

Proceedings of the Artificial Intelligence and Soft Computing, 2022

Bias Assessment in Medical Imaging Analysis: A Case Study on Retinal OCT Image Classification.

Gabriel Bianchin de Oliveira, Lucas David, Rafael Padilha, Ana Paula da Silva, Francine de Paula, Lucas Infante, Lucio Jorge, Patricia Xavier, Zanoni Dias

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Ensemble of Patches for COVID-19 X-Ray Image Classification.

Thiago Dong Chen, Gabriel Bianchin de Oliveira, Zanoni Dias

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Protein Molecular Function Annotation Based on Transformer Embeddings.

Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Deep Learning-Based COVID-19 Diagnostics of Low-Quality CT Images.

Daniel Ferber, Felipe Vieira, João Dalben, Mariana Ferraz, Nicholas Sato, Gabriel Bianchin de Oliveira, Rafael Padilha, Zanoni Dias

Proceedings of the Advances in Bioinformatics and Computational Biology, 2021

Protein secondary structure prediction based on fusion of machine learning classifiers.

Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

MMEC: Multi-Modal Ensemble Classifier for Protein Secondary Structure Prediction.

Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias

Proceedings of the Computer Analysis of Images and Patterns, 2021

2020

COVID-19 X-ray Image Diagnostic with Deep Neural Networks.

Gabriel Bianchin de Oliveira, Rafael Padilha, André Dorte, Luis Cereda, Luiz Miyazaki, Maurício Lopes, Zanoni Dias

Proceedings of the Advances in Bioinformatics and Computational Biology, 2020

Fusion of BLAST and Ensemble of Classifiers for Protein Secondary Structure Prediction.

Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias

Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

Ensemble of Bidirectional Recurrent Networks and Random Forests for Protein Secondary Structure Prediction.

Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020