Sabrine Mallek

16 papers B 1C 3Journal 4Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Multi-Methods Analysis of Voice Assistant-Enabled Purchase Recommendation Acceptance. AMCIS Ransome Epie Bawack, Emilie Bonhoure, Sabrine Mallek
2025	J	`jnl`	The DeLone and McLean Information Systems Success Model: What is the Future Evolution for Its Foundations, Components, and Applications? Commun. Assoc. Inf. Syst. Peter Bou Saba, William H. DeLone, NoorUl Ain, Antoine Harfouche, Imed Ben Nasr, Guillaume Biot-Paquerot, Sabrine Mallek
2025	J	`jnl`	Why would consumers risk taking purchase recommendations from voice assistants? Inf. Technol. People Ransome Epie Bawack, Emilie Bonhoure, Sabrine Mallek
2024	C	`conf`	Hey Alexa : Identity Driven Recommendation Acceptance Patterns in Voice Enabled Commerce. ICIS Sabrine Mallek, Ransome Epie Bawack, Emilie Bonhoure
2023	—	`conf`	Alexa is the New Influencer: An Empirical Study Based on a Relational View. AMCIS Ransome Epie Bawack, Emilie Bonhoure, Sabrine Mallek
2023	—	`conf`	Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups. ICAART (Revised Selected Paper) Sabrine Ben Abdrabbah, Sabrine Mallek, Nahla Ben Amor
2019	J	`jnl`	Evidential link prediction in social networks based on structural and social information. J. Comput. Sci. Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefèvre
2018	C	`conf`	Evidential Multi-relational Link Prediction Based on Social Content. ISMIS Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre
2017	—	`conf`	Evidential Link Prediction in Uncertain Social Networks Based on Node Attributes. IEA/AIE (1) Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre
2017	C	`conf`	Evidential k-NN for Link Prediction. ECSQARU Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre
2016	—	`conf`	An Evidential Method for Multi-relational Link Prediction in Uncertain Social Networks. IUKM Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre
2016	—	`conf`	Evidential Missing Link Prediction in Uncertain Social Networks. IPMU (1) Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre
2015	J	`jnl`	Community detection for graph-based similarity: Application to protein binding pockets classification. Pattern Recognit. Lett. Sabrine Mallek, Imen Boukhris, Zied Elouedi
2015	—	`conf`	Evidential Link Prediction Based on Group Information. MIKE Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre
2015	B	`conf`	The Link Prediction Problem under a Belief Function Framework. ICTAI Sabrine Mallek, Imen Boukhris, Zied Elouedi, Eric Lefevre
2014	—	`conf`	Predicting Proteins Functional Family: A Graph-Based Similarity Derived from Community Detection. IEEE Conf. on Intelligent Systems (2) Sabrine Mallek, Imen Boukhris, Zied Elouedi

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.