Samy Badreddine

18 papers A* 1C 3Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Breaking Rank Bottlenecks in Knowledge Graph Completion. CoRR Samy Badreddine, Emile van Krieken, Luciano Serafini
2025	A*	`conf`	Rewarding Explainability in Drug Repurposing with Knowledge Graphs. IJCAI Susana Nunes, Samy Badreddine, Catia Pesquita
2025	J	`jnl`	Rewarding Explainability in Drug Repurposing with Knowledge Graphs. CoRR Susana Nunes, Samy Badreddine, Catia Pesquita
2025	J	`jnl`	Unifying Post-hoc Explanations of Knowledge Graph Completions. CoRR Alessandro Lonardi, Samy Badreddine, Tarek R. Besold, Pablo Sanchez Martin
2024	J	`jnl`	Link prediction for hypothesis generation: an active curriculum learning infused temporal graph-based approach. Artif. Intell. Rev. Uchenna Akujuobi, Priyadarshini Kumari, Jihun Choi, Samy Badreddine, Kana Maruyama, Sucheendra K. Palaniappan, Tarek R. Besold
2024	—	`conf`	ULLER: A Unified Language for Learning and Reasoning. NeSy (1) Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia
2024	J	`jnl`	ULLER: A Unified Language for Learning and Reasoning. CoRR Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia
2023	J	`jnl`	Interval Logic Tensor Networks. CoRR Samy Badreddine, Gianluca Apriceno, Andrea Passerini, Luciano Serafini
2023	J	`jnl`	KitchenScale: Learning to predict ingredient quantities from recipe contexts. CoRR Donghee Choi, Mogan Gim, Samy Badreddine, Hajung Kim, Donghyeon Park, Jaewoo Kang
2023	C	`conf`	Recipe 2.0: Information Presentation for AI-Supported Culinary Idea Generation. ICCC Angel Hsing-Chi Hwang, Samy Badreddine, Frederick Gifford, Tarek R. Besold
2023	C	`conf`	What's Wrong with Gradient-based Complex Query Answering? NeSy Ouns El Harzli, Samy Badreddine, Tarek R. Besold
2023	J	`jnl`	logLTN: Differentiable Fuzzy Logic in the Logarithm Space. CoRR Samy Badreddine, Luciano Serafini, Michael Spranger
2022	J	`jnl`	Logic Tensor Networks. Artif. Intell. Samy Badreddine, Artur S. d'Avila Garcez, Luciano Serafini, Michael Spranger
2021	C	`conf`	Extending Real Logic with Aggregate Functions. NeSy Samy Badreddine, Michael Spranger
2021	—	`ch.`	Logic Tensor Networks: Theory and Applications. Neuro-Symbolic Artificial Intelligence Luciano Serafini, Artur S. d'Avila Garcez, Samy Badreddine, Ivan Donadello, Michael Spranger, Federico Bianchi
2020	J	`jnl`	Logic Tensor Networks. CoRR Samy Badreddine, Artur S. d'Avila Garcez, Luciano Serafini, Michael Spranger
2019	—	`conf`	Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks. NeSy@IJCAI Samy Badreddine, Michael Spranger
2019	J	`jnl`	Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks. CoRR Samy Badreddine, Michael Spranger

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.