Ensemble of Bidirectional Recurrent Networks and Random Forests for Protein Secondary Structure Prediction. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (IWSSIP, 2020)

Fusion of BLAST and Ensemble of Classifiers for Protein Secondary Structure Prediction. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (SIBGRAPI, 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 (BSB, 2020)

MMEC: Multi-Modal Ensemble Classifier for Protein Secondary Structure Prediction. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (CAIP (1), 2021)

Protein secondary structure prediction based on fusion of machine learning classifiers. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (SAC, 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 (BSB, 2021)

Protein Molecular Function Annotation Based on Transformer Embeddings. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (BRACIS (2), 2022)

Ensemble of Patches for COVID-19 X-Ray Image Classification. - Thiago Dong Chen; Gabriel Bianchin de Oliveira; Zanoni Dias (ICAART (3), 2022)

Bias Assessment in Medical Imaging Analysis: A Case Study on Retinal OCT Image Classification. - Gabriel Bianchin de Oliveira; Lucas David 001; Rafael Padilha; Ana Paula da Silva; Francine de Paula; Lucas Infante; Lucio Jorge; Patricia Xavier; Zanoni Dias (ICAART (3), 2022)

Prediction of Protein Molecular Functions Using Transformers. - Felipe Lopes de Mello; Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (ICAISC (2), 2022)

CAFA3 based dataset. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (Zenodo, 2022)

The Multi-attribute Fairer Cover Problem. - Ana Paula dos Santos Dantas; Gabriel Bianchin de Oliveira; Hélio Pedrini; Cid C. de Souza; Zanoni Dias (BRACIS (1), 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 (VISIGRAPP (5: VISAPP), 2023)

TEMPROT: protein function annotation using transformers embeddings and homology search. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (BMC Bioinform., 2023)

Integrating Transformers and AutoML for Protein Function Prediction. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (EMBC, 2024)

CAFA5. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (Zenodo, 2024)

CAFA5. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (Zenodo, 2024)

SUPERMAGOv2: Protein Function Prediction via Transformer Embeddings and Bitscore-Weighted Features. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (IEEE Access, 2025)

Scaling Up ESM2 Architectures for Long Protein Sequences Analysis: Long and Quantized Approaches. - Gabriel Bianchin de Oliveira; Hélio Pedrini; Zanoni Dias (CoRR, 2025)