Elizabeth Fialho Wanner

19 papers A 2B 3Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A cross-entropy based direct policy search algorithm for multi-objective energy storage control. Neural Comput. Appl. Gabriel Matos Cardoso Leite, Carolina Gil Marcelino, Silvia Jiménez-Fernández, Elizabeth Fialho Wanner, Sancho Salcedo-Sanz, Carlos Eduardo Pedreira
2025	J	`jnl`	An Experimental Study of Noisy Optimization with RPS Over Different Distributions. SN Comput. Sci. Erick Figueirôa Rocha, Ester Morais Neves, Elizabeth Fialho Wanner, Ricardo Hiroshi Caldeira Takahashi, André Rodrigues da Cruz
2024	J	`jnl`	Identifying Pareto Fronts Reliably Using a Multistage Reference-Vector-Based Framework. IEEE Trans. Evol. Comput. Kalyanmoy Deb, Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner
2024	—	`conf`	Nelder-Mead Based Algorithms for Noisy Functions. OL2A (2) Erick Figueirôa Rocha, Ester Morais Neves, Elizabeth Fialho Wanner, Ricardo Hiroshi Caldeira Takahashi, André Rodrigues da Cruz
2023	—	`conf`	A Multiobjective Tuning of a Procedural Content Generator for Game Level Design via Evolutionary Algorithms. OL2A (1) Vitor Gomes Soares Lins Peixoto, Elizabeth Fialho Wanner, André Rodrigues da Cruz
2022	J	`jnl`	Analyzing Dominance Move (MIP-DoM) Indicator for Multiobjective and Many-Objective Optimization. IEEE Trans. Evol. Comput. Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner, Kalyanmoy Deb
2021	J	`jnl`	A robust multi-response VNS-aiNet approach for solving scheduling problems under unrelated parallel machines environments. Expert Syst. Appl. Rodney Oliveira Marinho Diana, Sérgio Ricardo de Souza, Elizabeth Fialho Wanner
2021	J	`jnl`	Multi-gene genetic programming to building up fuzzy rule-base in Neo-Fuzzy-Neuron networks. J. Intell. Fuzzy Syst. Glender Brás, Alisson Marques Silva, Elizabeth Fialho Wanner
2020	J	`jnl`	Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization. CoRR Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner, Kalyanmoy Deb
2020	J	`jnl`	Dominance Move calculation using a MIP approach for comparison of multi and many-objective optimization solution sets. CoRR Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner
2017	—	`conf`	Environmental impacts of different battery technologies in renewable hybrid micro-grids. ISGT Europe Manuel Baumann, Jens Peters, Marcel Weil, Carolina Gil Marcelino, Paulo E. M. de Almeida, Elizabeth Fialho Wanner
2017	A	`conf`	Real-polarized genetic algorithm for the three-dimensional bin packing problem. GECCO André Homem Dornas, Flávio Vinícius Cruzeiro Martins, João Fernando Machry Sarubbi, Elizabeth Fialho Wanner
2017	—	`conf`	The Dance of Classes - A Stochwetsomic Model for Software Structure Evolution. WETSoM@ICSE Rafael Prates Ferreira Trindade, Talita Santana Orfanó, Kecia Aline Marques Ferreira, Elizabeth Fialho Wanner
2017	—	`conf`	The menu planning problem: a multiobjective approach for Brazilian schools context. GECCO (Companion) Rafaela Priscila Cruz Moreira, Elizabeth Fialho Wanner, Flávio Vinícius Cruzeiro Martins, João Fernando Machry Sarubbi
2016	B	`conf`	A quadratic approximation-based local search operator for handling two equality constraints in continuous optimization problems. CEC Carlos M. Fonseca, Elizabeth Fialho Wanner
2016	B	`conf`	Multiobjective approach to the vehicle routing problem with demand responsive transport. CEC Renan Santos Mendes, Dangelo Silva Miranda, Elizabeth Fialho Wanner, João F. M. Sarubbi, Flávio V. C. Martins
2016	B	`conf`	Portfolio selection for open-pit mining assets acquisition. CEC Lucas S. Ferreira, Elizabeth Fialho Wanner, Adriano Chaves Lisboa, Douglas A. G. Vieira
2014	J	`jnl`	On a Vector Space Representation in Genetic Algorithms for Sensor Scheduling in Wireless Sensor Networks. Evol. Comput. Flávio V. C. Martins, Eduardo G. Carrano, Elizabeth Fialho Wanner, Ricardo H. C. Takahashi, Geraldo Robson Mateus, Fabíola Guerra Nakamura
2013	A	`conf`	A novel movable partitions approach with neural networks and evolutionary algorithms for solving the hydroelectric unit commitment problem. GECCO Pedro de Lima Abrão, Elizabeth Fialho Wanner, Paulo Eduardo Maciel de Almeida

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.