Yan-Ling Bao

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A similarity degree-based three-way decision method with application to mine potential evaluation. Int. J. Approx. Reason. Tianli Su, Yan-Ling Bao
2026	J	`jnl`	A third-generation prospect theory-based three-way decision method for coalbed methane development favorable area selection. Appl. Soft Comput. Yan-Ling Bao, Shumin Cheng, Haichao Wang
2026	J	`jnl`	Overlap function-based variable precision fuzzy rough sets with application to multi-attribute decision-making. Comput. Appl. Math. Tianli Su, Yan-Ling Bao, Shumin Cheng
2024	J	`jnl`	A Heuristic Attribute-Reduction Algorithm Based on Conditional Entropy for Incomplete Information Systems. Axioms Yan-Ling Bao, Shumin Cheng
2024	J	`jnl`	Dominance-Based Rough Set Model in Hesitant Fuzzy Information Systems. Symmetry Yan-Ling Bao, Shumin Cheng
2024	J	`jnl`	Normalized Hesitant Fuzzy Aggregation Operators for Multiple Attribute Decision-Making. Int. J. Fuzzy Syst. Omirzhan Dawlet, Yan-Ling Bao
2023	J	`jnl`	A Novel Attribute Reduction Algorithm for Incomplete Information Systems Based on a Binary Similarity Matrix. Symmetry Yan Zhou, Yan-Ling Bao
2023	J	`jnl`	A novel incremental attribute reduction approach for incomplete decision systems. J. Intell. Fuzzy Syst. Shumin Cheng, Yan Zhou, Yan-Ling Bao
2021	J	`jnl`	A note on "New aggregation operators of single-valued neutrosophic hesitant fuzzy set and their application in multi-attribute decision making". Pattern Anal. Appl. Li Wang, Yan-Ling Bao
2019	J	`jnl`	On characterization of $$(\mathcal {I}, {\mathcal {N}})$$ ( I , N ) -single valued neutrosophic rough approximation operators. Soft Comput. Yan-Ling Bao, Hai-Long Yang, Sheng-Gang Li
2018	J	`jnl`	Using one axiom to characterize Fuzzy Sets Syst. Yan-Ling Bao, Hai-Long Yang, Yanhong She
2017	J	`jnl`	On single valued neutrosophic refined rough set model and its application. J. Intell. Fuzzy Syst. Yan-Ling Bao, Hai-Long Yang

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.