Abderrahmane Kefali

13 papers B 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Machine learning-based binarization for degraded document images. Vis. Comput. Abderrahmane Kefali, Chokri Ferkous, Abdelhalim Hadjadj, Ismail Bouacha
2026	J	`jnl`	Semi-automatic framework for layout annotation of arabic document images. Signal Image Video Process. Abderrahmane Kefali, Ismail Bouacha, Ryene Benatti, Nor Elhouda Chaib Rassou
2025	J	`jnl`	Automatic identification of noise in degraded historical documents. Signal Image Video Process. Abderrahmane Kefali, Ismail Bouacha, Ahmed Abderrezzaq Haddad, Chokri Ferkous
2025	J	`jnl`	SDADDS-Guelma: A large-scale, multi-purpose dataset for degraded Arabic document analysis and recognition. Expert Syst. Appl. Abderrahmane Kefali, Ismail Bouacha, Chokri Ferkous, Toufik Sari
2025	J	`jnl`	Stacking-Based classification of degradation in historical documents. Multim. Tools Appl. Abderrahmane Kefali, Ismail Bouacha, Wala Salah Eddine Bouregba, Chokri Ferkous
2020	J	`jnl`	Extraction of Scores and Average From Algerian High-School Degree Transcripts. Comput. Sci. Abderrahmane Kefali, Soumia Drabsia, Toufik Sari, Mohammed Chaoui, Chokri Ferkous
2018	J	`jnl`	Tool for automatic tuning of binarisation techniques. IET Image Process. Abderrahmane Kefali, Toufik Sari
2016	J	`jnl`	Structural feature-based evaluation method of binarization techniques for word retrieval in the degraded Arabic document images. Int. J. Document Anal. Recognit. Toufik Sari, Abderrahmane Kefali, Halima Bahi
2014	J	`jnl`	Foreground-Background Separation by Feed-forward Neural Networks in Old Manuscripts. Informatica (Slovenia) Abderrahmane Kefali, Toufik Sari, Halima Bahi
2014	J	`jnl`	Text Extraction from Historical Document Images by the Combination of Several Thresholding Techniques. Adv. Multim. Toufik Sari, Abderrahmane Kefali, Halima Bahi
2012	B	`conf`	An MLP for Binarizing Images of Old Manuscripts. ICFHR Toufik Sari, Abderrahmane Kefali, Halima Bahi
2011	—	`conf`	A Semi-Automatic Approach of old Arabic Documents Indexing. CIIA Abderrahmane Kefali, Chaouki Chemmam
2011	J	`jnl`	Recognition-free Retrieval of Old Arabic Document Images. Computación y Sistemas Toufik Sari, Abderrahmane Kefali

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.