Gabriel Bianchin de Oliveira

20 papers C 1Misc 1Journal 4Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	C	`conf`	A Comparative Study of Autoencoder Models on Latent Space Organization: An Evaluation with SVHN. ICPRAM Wilson Bagni Junior, Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2026	J	`jnl`	Fair age prediction through ILP-based multi-attribute training subset selection. Appl. Soft Comput. Ana Paula dos Santos Dantas, Gabriel Bianchin de Oliveira, Hélio Pedrini, Cid C. de Souza, Zanoni Dias
2026	—	`conf`	From Graphs to Images: Non-Parametric PPI Context Integration for Vision-Based Protein Function Prediction. VISAPP (1) Yeonatan Mauhnoom, Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2025	J	`jnl`	SUPERMAGOv2: Protein Function Prediction via Transformer Embeddings and Bitscore-Weighted Features. IEEE Access Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2025	J	`jnl`	Scaling Up ESM2 Architectures for Long Protein Sequences Analysis: Long and Quantized Approaches. CoRR Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2024	—	`conf`	Integrating Transformers and AutoML for Protein Function Prediction. EMBC Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2024	—	`conf`	Scaling Up ESM2 Architectures for Long Protein Sequences Analysis: Long and Quantized Approaches. BSB Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2023	—	`conf`	Algorithmic Fairness Applied to the Multi-Label Classification Problem. VISIGRAPP (5: VISAPP) Ana Paula dos Santos Dantas, Gabriel Bianchin de Oliveira, Daiane Mendes de Oliveira, Hélio Pedrini, Cid C. de Souza, Zanoni Dias
2023	J	`jnl`	TEMPROT: protein function annotation using transformers embeddings and homology search. BMC Bioinform. Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2023	—	`conf`	The Multi-attribute Fairer Cover Problem. BRACIS (1) Ana Paula dos Santos Dantas, Gabriel Bianchin de Oliveira, Hélio Pedrini, Cid C. de Souza, Zanoni Dias
2022	—	`conf`	Bias Assessment in Medical Imaging Analysis: A Case Study on Retinal OCT Image Classification. ICAART (3) Gabriel Bianchin de Oliveira, Lucas David, Rafael Padilha, Ana Paula da Silva, Francine de Paula, Lucas Infante, Lucio Jorge, Patricia Xavier, Zanoni Dias
2022	—	`conf`	Ensemble of Patches for COVID-19 X-Ray Image Classification. ICAART (3) Thiago Dong Chen, Gabriel Bianchin de Oliveira, Zanoni Dias
2022	—	`conf`	Prediction of Protein Molecular Functions Using Transformers. ICAISC (2) Felipe Lopes de Mello, Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2022	—	`conf`	Protein Molecular Function Annotation Based on Transformer Embeddings. BRACIS (2) Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2021	—	`conf`	Deep Learning-Based COVID-19 Diagnostics of Low-Quality CT Images. BSB Daniel Ferber, Felipe Vieira, João Dalben, Mariana Ferraz, Nicholas Sato, Gabriel Bianchin de Oliveira, Rafael Padilha, Zanoni Dias
2021	—	`conf`	MMEC: Multi-Modal Ensemble Classifier for Protein Secondary Structure Prediction. CAIP (1) Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2021	Misc	`conf`	Protein secondary structure prediction based on fusion of machine learning classifiers. SAC Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2020	—	`conf`	COVID-19 X-ray Image Diagnostic with Deep Neural Networks. BSB Gabriel Bianchin de Oliveira, Rafael Padilha, André Dorte, Luis Cereda, Luiz Miyazaki, Maurício Lopes, Zanoni Dias
2020	—	`conf`	Ensemble of Bidirectional Recurrent Networks and Random Forests for Protein Secondary Structure Prediction. IWSSIP Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias
2020	—	`conf`	Fusion of BLAST and Ensemble of Classifiers for Protein Secondary Structure Prediction. SIBGRAPI Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.