Leandro M. Almeida

14 papers B 6C 2Misc 1Journal 4Unranked 1

Year	Rank	Type	Title / Venue / Authors
2021	B	`conf`	Identification of Microorganism Colony Odor Signature using InceptionTime. SMC Paulo M. Vasconcelos, David L. Macêdo, Leandro M. Almeida, Reginaldo G. L. Neto, Clayton A. Benevides, Cleber Zanchettin, Adriano L. I. Oliveira
2021	J	`jnl`	Um Metodo para Busca Automatica de Redes Neurais Artificiais. CoRR Anderson P. da Silva, Teresa Bernarda Ludermir, Leandro M. Almeida
2019	J	`jnl`	ALTRIRAS: A Computer Game for Training Children with Autism Spectrum Disorder in the Recognition of Basic Emotions. Int. J. Comput. Games Technol. Leandro M. Almeida, Diego Pereira da Silva, Daieny P. Theodório, Wolley W. Silva, Silvia Cristina M. Rodrigues, Terigi Augusto Scardovelli, Alessandro P. da Silva, Marcia Aparecida Silva Bissaco
2012	B	`conf`	Odor recognition systems for natural gas odorization monitoring. IJCNN Cleber Zanchettin, Leandro M. Almeida, Frederico D. Menezes, Teresa Bernarda Ludermir, Walter M. Azevedo
2011	J	`jnl`	Hybrid Training Method for MLP: Optimization of Architecture and Training. IEEE Trans. Syst. Man Cybern. Part B Cleber Zanchettin, Teresa Bernarda Ludermir, Leandro M. Almeida
2010	J	`jnl`	A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks. Neurocomputing Leandro M. Almeida, Teresa Bernarda Ludermir
2010	B	`conf`	Topology optimization for artificial neural networks using differential evolution. IJCNN Nicole L. Mineu, Teresa Bernarda Ludermir, Leandro M. Almeida
2009	—	`conf`	A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means. ICANN (1) Jefferson R. Souza, Teresa Bernarda Ludermir, Leandro M. Almeida
2009	B	`conf`	Neural networks with asymmetric activation function for function approximation. IJCNN Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir, Leandro M. Almeida
2008	Misc	`conf`	An Evolutionary Approach for Tuning Artificial Neural Network Parameters. HAIS Leandro M. Almeida, Teresa Bernarda Ludermir
2008	B	`conf`	An improved method for automatically searching near-optimal artificial Neural Networks. IJCNN Leandro M. Almeida, Teresa Bernarda Ludermir
2008	C	`conf`	Tuning Artificial Neural Networks Parameters Using an Evolutionary Algorithm. HIS Leandro M. Almeida, Teresa Bernarda Ludermir
2007	B	`conf`	Automatically searching near-optimal artificial neural networks. ESANN Leandro M. Almeida, Teresa Bernarda Ludermir
2006	C	`conf`	A Hybrid Method for Searching Near-Optimal Artificial Neural Networks. HIS Leandro M. Almeida, Teresa Bernarda Ludermir

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.