Edouard Ngor Sarr

16 papers Journal 1Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Algorithms Of Machine Learning For Automatic Customers Segmentation : A Review. ICECET Edouard Ngor Sarr, Serigne Mor Toure, Cheikh Oumar Balde, Abel Diatta, Oumar Diagne, Ousmane Sall
2022	—	`conf`	COMFO : Corpus Multilingue pour la Fouille d'Opinions (COMFO: Multilingual Corpus for Opinion Mining). TALN-RECITAL Lamine Faty, Khadim Dramé, Edouard Ngor Sarr, Marie Ndiaye, Yoro Dia, Ousmane Sall
2022	—	`conf`	COMFO: Multilingual Corpus for Opinion Mining. AGI Lamine Faty, Khadim Dramé, Edouard Ngor Sarr, Marie Ndiaye, Ibrahima Diop, Yoro Dia, Ousmane Sall
2022	—	`conf`	Predicting the Severity of the Road Accidents in Senegal: An Empirical Study. DSDE Yoro Dia, Lamine Faty, Ousmane Sall, Tony Tona Landu, Edouard Ngor Sarr
2021	—	`conf`	Senegalese Road Crash Data Analysis Based On Clustering And Association Rule Mining. DSDE Yoro Dia, Cheikh Tidiane Seck, Mouhamadou Saliou Diallo, Ousmane Sall, Mamadou Bousso, Edouard Ngor Sarr, Mamadou Lamine Mboup
2020	—	`conf`	OpinionScraper: A News Comments Extraction Tool for Opinion Mining. SNAMS Lamine Faty, Marie Ndiaye, Edouard Ngor Sarr, Ousmane Sall
2020	—	`conf`	Part-Of-Speech Tagging in French: State-of-the-Art and Obstacles. SNAMS Edouard Ngor Sarr, Ousmane Sall, Lamine Faty
2019	—	`conf`	Automatic Categorization of Press Articles through Learning: The Case of Senegalese Online Press. IEEE BigData Edouard Ngor Sarr, Ousmane Sall, Mamadou Bousso, Rabiyatou Diouf, Babiga Birregah, Sény Ndiaye Mbaye
2019	—	`—`	Contribution aux mécanismes d'automatisation du fact-checking pour un journalisme augmenté. Edouard Ngor Sarr
2019	J	`jnl`	Towards an automation of the fact-checking in the journalistic web context. Int. J. Big Data Intell. Edouard Ngor Sarr, Ousmane Sall, Aminata Maiga, Mouhamadou Saliou Diallo
2019	—	`conf`	Web Scraping: State-of-the-Art and Areas of Application. IEEE BigData Rabiyatou Diouf, Edouard Ngor Sarr, Ousmane Sall, Babiga Birregah, Mamadou Bousso, Sény Ndiaye Mbaye
2018	—	`conf`	Automatic Segmentation and tagging of facts in French for automated fact-checking. IEEE BigData Edouard Ngor Sarr, Ousmane Sall, Aminata Maiga, Lamine Faty, Reine Marie Ndéla Marone
2018	—	`conf`	FactExtract: Automatic Collection and Aggregation of Articles and Journalistic Factual Claims from Online Newspaper. SNAMS Edouard Ngor Sarr, Ousmane Sall, Aminata Diallo
2018	—	`conf`	SnVera: A New Algorithm for Automation of Fact-Checking in Web Journalism Context. SNAMS Edouard Ngor Sarr, Ousmane Sall, Aminata Diallo
2017	—	`conf`	Automation of Fact-Checking: State of the Art, Obstacles and Perspectives. DASC/PiCom/DataCom/CyberSciTech Edouard Ngor Sarr, Ousmane Sall
2017	—	`conf`	SenFact algorithm: Fact-checking by the confrontation of opinions. ICNC-FSKD Edouard Ngor Sarr, Ousmane Sall, Assane Diagne

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.