Gabriel Ruiz - RankMe

12 papers B 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A causal fused lasso for interpretable heterogeneous treatment effects estimation. J. Mach. Learn. Res. Oscar Hernan Madrid Padilla, Yanzhen Chen, Carlos Misael Madrid Padilla, Gabriel Ruiz
2024	J	`jnl`	Sample size planning for conditional counterfactual mean estimation with a K-armed randomized experiment. CoRR Gabriel Ruiz
2023	J	`jnl`	Neuroevolutionary representations for learning heterogeneous treatment effects. J. Comput. Sci. Michael C. Burkhart, Gabriel Ruiz
2022	J	`jnl`	APPMAR 1.0: A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data. Comput. Geosci. German Rivillas-Ospina, Diego Casas, Mauro Antonio Maza-Chamorro, Marianella Bolívar, Gabriel Ruiz, Roberto Guerrero, Jose Horrillo-Caraballo, Milton Guerrero, Karina Díaz, Roberto del Rio, Erick Campos
2022	—	`conf`	Neuroevolutionary Feature Representations for Causal Inference. ICCS (1) Michael C. Burkhart, Gabriel Ruiz
2022	J	`jnl`	Neuroevolutionary Feature Representations for Causal Inference. CoRR Michael C. Burkhart, Gabriel Ruiz
2022	—	`—`	Plug-in Estimation Approaches to Causal Inference and Discovery Gabriel Ruiz
2022	J	`jnl`	Sequential Learning of the Topological Ordering for the Linear Non-Gaussian Acyclic Model with Parametric Noise. CoRR Gabriel Ruiz, Oscar Hernan Madrid Padilla, Qing Zhou
2022	J	`jnl`	Sequentially learning the topological ordering of directed acyclic graphs with likelihood ratio scores. Trans. Mach. Learn. Res. Gabriel Ruiz, Oscar Hernan Madrid Padilla, Qing Zhou
2018	J	`jnl`	A method to Suppress Facial Expression in Posed and Spontaneous Videos. CoRR Ghada Zamzmi, Gabriel Ruiz, Matthew Shreve, Dmitry B. Goldgof, Rangachar Kasturi, Sudeep Sarkar
2015	B	`conf`	Pain assessment in infants: Towards spotting pain expression based on infants' facial strain. FG Ghada Zamzmi, Gabriel Ruiz, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun, Terri Ashmeade
2013	J	`jnl`	Usability Test on the Development of SIMACAE System. Res. Comput. Sci. Carmen Martínez, Gabriel Ruiz, Luis David Huerta-Hernández, Óscar Velasquez, Venustiano Soancatl

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.