Sanaa El Filali

15 papers B 1Journal 5Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Graph convolution-based techniques for pragmatic Arabic figurative language classification. Frontiers Artif. Intell. Zouheir Banou, Fatima-Zahra Alaoui, Sanaa El Filali, El Habib Benlahmar, Laila El Jiani, Hasnae Sakhi
2026	J	`jnl`	Systematic review of different approaches for performance enhancement in elite sport. Frontiers Artif. Intell. Oualid Dehbane, Sara Ouahabi, Sanaa El Filali
2025	J	`jnl`	A systematic review of figurative language detection: Methods, challenges, and multilingual perspectives. Nat. Lang. Process. J. Zouheir Banou, Sanaa El Filali, El Habib Benlahmar, Fatima-Zahra Alaoui, Laila El Jiani, Hasnae Sakhi
2025	J	`jnl`	Developing a Multi-Layer Ontology Construction Framework for Arabic Language Processing: Focus on Figurative Language Potential. IEEE Access Zouheir Banou, Sanaa El Filali, El Habib Benlahmar, Laila El Jiani, Fatima-Zahra Alaoui
2024	J	`jnl`	Deep Learning-Based Approaches Using Medical Imaging for Therapy Response Prediction in Breast Cancer: A Systematic Literature Review. Int. J. Online Biomed. Eng. Laila El Jiani, Sanaa El Filali, El Habib Ben Lahmar, Ihsane Haloum
2024	—	`conf`	Weather Forecasting Using Artificial Neural Network (ANN): A Review. FNC/MobiSPC/SEIT Oussama Zemnazi, Sanaa El Filali, Sara Ouahabi
2022	—	`conf`	IoT Architectures: A Brief Survey on Layers' Services. AISI Fatima Zahra Fagroud, Nouhaila Idrissi, El Habib Ben Lahmar, Ahmed Zellou, Hicham Toumi, Khadija Achtaich, Sanaa El Filali
2022	—	`conf`	Overcome medical image data scarcity by data augmentation techniques: A review. ICM Laila El Jiani, Sanaa El Filali, El Habib Benlahmer
2021	—	`conf`	Breast Cancer Prediction and Diagnosis through a New Approach based on Majority Voting Ensemble Classifier. FNC/MobiSPC Mohammed Amine Naji, Sanaa El Filali, Meriem Bouhlal, El Habib Benlahmar, Rachida Ait Abdelouhahid, Olivier Debauche
2021	—	`conf`	Impact of IoT devices in E-Health: A Review on IoT in the context of COVID-19 and its variants. FNC/MobiSPC Fatima Zahra Fagroud, Hicham Toumi, El Habib Ben Lahmar, Mohamed Amine Talhaoui, Khadija Achtaich, Sanaa El Filali
2021	—	`conf`	Machine Learning Algorithms For Breast Cancer Prediction And Diagnosis. FNC/MobiSPC Mohammed Amine Naji, Sanaa El Filali, Kawtar Aarika, El Habib Benlahmar, Rachida Ait Abdelouahid, Olivier Debauche
2020	—	`conf`	IOT Search Engines: Exploratory Data Analysis. FNC/MobiSPC Fatima Zahra Fagroud, Lahbib Ajallouda, El Habib Ben Lahmar, Hicham Toumi, Khadija Achtaich, Sanaa El Filali
2019	B	`conf`	J48 algorithms of machine learning for predicting user's the acceptance of an E-orientation systems. SCA Rachida Ihya, Abdelwahed Namir, Sanaa El Filali, Mohammed Ait Daoud, Fatima Zahra Guerss
2019	—	`conf`	What does mean search engine for IOT or IOT search engine. BDIoT Fatima Zahra Fagroud, El Habib Ben Lahmar, Mohamed Amine, Hicham Toumi, Sanaa El Filali
2015	—	`conf`	A comparison of multi-resolution and multi-orientation for breast cancer diagnosis in the full-field digital mammogram. ICM Abdelaziz Addioui, Faouzia Benabbou, Sanaa El Filali, Mohamed El Aroussi

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.