Leandro H. de S. Silva

14 papers B 2Journal 1Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Dynamic Model Weighting via Stacking-Meta Learning for Multi-Class Classification. SIBGRAPI Agostinho Freire, João V. R. de Andrade, Bruno J. T. Fernandes, Leandro H. de S. Silva, Gabriel Albuquerque, Mário Guerra, Igor Balbino, Monique Suellen Tomaz, João Fausto L. de Oliveira
2025	—	`conf`	FedP2PAvg: A Peer-to-Peer Collaborative Framework for Federated Learning in Non-IID Scenarios. ICANN (1) Bruno J. T. Fernandes, Agostinho Freire, João V. R. de Andrade, Leandro H. de S. Silva, Nicolás Navarro-Guerrero
2024	J	`jnl`	Beyond clean data: Exploring the effects of label noise on object detection performance. Knowl. Based Syst. Agostinho Freire, Leandro H. de S. Silva, João V. R. de Andrade, George O. de A. Azevedo, Bruno J. T. Fernandes
2024	—	`conf`	Exploring Climatic Shifts in Brazilian Climates: Insights from ARMAX, Decision Trees, and Artificial Neural Networks. BRACIS (4) João V. R. de Andrade, Igor L. B. da Silva, Teobaldo Gabriel de Souza Junior, Leandro H. de S. Silva, Agostinho Freire, Daisy Beserra Lucena, Bruno J. T. Fernandes
2024	—	`conf`	Nova: A Dynamic Emotion-Based Narrator for Competitive Games. ACII (Workshops and Demos) Nathália Cauás, Leandro H. de S. Silva, Bruno J. T. Fernandes
2023	—	`conf`	Assessing the Effect of Urban Expansion and Deforestation on Temperature Rise in Cajazeiras, Brazil: A Data-Driven Approach. LA-CCI João Vinicius Ribeiro De Andrade, Teobaldo Gabriel de Souza Junior, Leandro H. de S. Silva, Daisy Beserra Lucena, Bruno J. T. Fernandes
2023	—	`conf`	Enhancing Electronic Component Classification with Supervised Contrastive Learning: A Comparative Evaluation. LA-CCI Leandro H. de S. Silva, Agostinho Freire, George O. de A. Azevedo, Sergio C. Oliveira, Bruno J. T. Fernandes
2023	B	`conf`	Evaluation of Contrastive Learning for Electronic Component Detection. ESANN Leandro H. de S. Silva, Agostinho A. F. Júnior, Bruno J. T. Fernandes, George O. de A. Azevedo, Sergio C. Oliveira
2023	—	`conf`	Evaluation of Deep Learning Model for Detecting Electronic Components in Few-Shot Learning Scenarios. LA-CCI Allana Rocha, Bruno J. T. Fernandes, Leandro H. de S. Silva
2023	—	`conf`	Fine-Tuning MultiFit for Enhanced Legal Sentence Basis Classification. LA-CCI David Josué Barrientos Rojas, Bruno J. T. Fernandes, Cleyton M. O. Rodrigues, Leandro H. de S. Silva, Allana Rocha, Paulo Christiano Sobral
2023	—	`conf`	Interpretable Diagnosis of Banana Leaf Sigatoka Disease using CNNs and Shapley Values. LA-CCI Agostinho Freire, Rafaella De Lima Roque, Leandro H. de S. Silva, Bruno J. T. Fernandes
2022	—	`conf`	Learning from pseudo-labels: Self-training Electronic Components Detector for Waste Printed Circuit Boards. SIBGRAPI Agostinho A. F. Júnior, Leandro H. de S. Silva, Bruno J. T. Fernandes, George O. de A. Azevedo, Sergio C. Oliveira
2020	B	`conf`	Binary and Multi-label Defect Classification of Printed Circuit Board based on Transfer Learning. ESANN George O. de A. Azevedo, Leandro H. de S. Silva, Agostinho A. F. Júnior, Bruno J. T. Fernandes, Sergio C. Oliveira
2019	—	`conf`	Automatic Optical Inspection for Defective PCB Detection Using Transfer Learning. LA-CCI Leandro H. de S. Silva, George O. de A. Azevedo, Bruno J. T. Fernandes, Byron L. D. Bezerra, Estanislau B. Lima, Sergio C. Oliveira

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.