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ORCIDGabriel Bianchin de Oliveira
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2020 – today
- 2025
[j2]Gabriel Bianchin de Oliveira
, Hélio Pedrini, Zanoni Dias:
SUPERMAGOv2: Protein Function Prediction via Transformer Embeddings and Bitscore-Weighted Features. IEEE Access 13: 139743-139757 (2025)- [i1]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
Scaling Up ESM2 Architectures for Long Protein Sequences Analysis: Long and Quantized Approaches. CoRR abs/2501.07747 (2025) - 2024
- [c14]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
Integrating Transformers and AutoML for Protein Function Prediction. EMBC 2024: 1-5 - [c13]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
Scaling Up ESM2 Architectures for Long Protein Sequences Analysis: Long and Quantized Approaches. BSB 2024: 1-11 - [d3]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
CAFA5. Version 1. Zenodo, 2024 [all versions]
- [d2]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
CAFA5. Version 2. Zenodo, 2024 [all versions] - 2023
- [j1]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
TEMPROT: protein function annotation using transformers embeddings and homology search. BMC Bioinform. 24(1): 242 (2023) - [c12]Ana Paula dos Santos Dantas, Gabriel Bianchin de Oliveira, Hélio Pedrini, Cid C. de Souza, Zanoni Dias:
The Multi-attribute Fairer Cover Problem. BRACIS (1) 2023: 163-177 - [c11]Ana Paula dos Santos Dantas, Gabriel Bianchin de Oliveira, Daiane Mendes de Oliveira, Hélio Pedrini, Cid C. de Souza, Zanoni Dias:
Algorithmic Fairness Applied to the Multi-Label Classification Problem. VISIGRAPP (5: VISAPP) 2023: 737-744 - 2022
- [c10]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
Protein Molecular Function Annotation Based on Transformer Embeddings. BRACIS (2) 2022: 210-220 - [c9]Thiago Dong Chen, Gabriel Bianchin de Oliveira, Zanoni Dias:
Ensemble of Patches for COVID-19 X-Ray Image Classification. ICAART (3) 2022: 561-567 - [c8]Gabriel Bianchin de Oliveira, Lucas David, Rafael Padilha, Ana Paula da Silva, Francine de Paula, Lucas Infante, Lucio Jorge, Patricia Xavier, Zanoni Dias:
Bias Assessment in Medical Imaging Analysis: A Case Study on Retinal OCT Image Classification. ICAART (3) 2022: 574-580 - [c7]Felipe Lopes de Mello, Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
Prediction of Protein Molecular Functions Using Transformers. ICAISC (2) 2022: 379-387 - [d1]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
CAFA3 based dataset. Zenodo, 2022 - 2021
- [c6]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
MMEC: Multi-Modal Ensemble Classifier for Protein Secondary Structure Prediction. CAIP (1) 2021: 175-184 - [c5]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
Protein secondary structure prediction based on fusion of machine learning classifiers. SAC 2021: 26-29 - [c4]Daniel Ferber, Felipe Vieira, João Dalben, Mariana Ferraz, Nicholas Sato, Gabriel Bianchin de Oliveira, Rafael Padilha, Zanoni Dias:
Deep Learning-Based COVID-19 Diagnostics of Low-Quality CT Images. BSB 2021: 69-80 - 2020
- [c3]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
Ensemble of Bidirectional Recurrent Networks and Random Forests for Protein Secondary Structure Prediction. IWSSIP 2020: 311-316 - [c2]Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
Fusion of BLAST and Ensemble of Classifiers for Protein Secondary Structure Prediction. SIBGRAPI 2020: 308-315 - [c1]Gabriel Bianchin de Oliveira, Rafael Padilha, André Dorte, Luis Cereda, Luiz Miyazaki, Maurício Lopes, Zanoni Dias:
COVID-19 X-ray Image Diagnostic with Deep Neural Networks. BSB 2020: 57-68
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