Sahbi Bahroun - RankMe

29 papers A 1B 7C 6Misc 1Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	EMOGAN: Emotion Modeling with Graph Attention Networks. ICAART (5) Fouad Oueslati, Amira Mouakher, Sahbi Bahroun
2026	J	`jnl`	Longitudinal Alzheimer's Disease Progression Modelling via Hybrid Vision Transformers and Recurrent Neural Networks With Cross-Modal Feature Fusion. Expert Syst. J. Knowl. Eng. Sahbi Bahroun, Gwanggil Jeon
2025	C	`conf`	A BERT Deep Learning Model for Arabic Spam Detection. CoDIT Hadir Driss, Jaouhar Fattahi, Mohamed Mejri, Sahbi Bahroun, Ridha Ghayoula
2025	J	`jnl`	Enhanced Face Recognition in Crowded Environments with 2D/3D Features and Parallel Hybrid CNN-RNN Architecture with Stacked Auto-Encoder. Big Data Cogn. Comput. Samir Elloumi, Sahbi Bahroun, Sadok Ben Yahia, Mourad Kaddes
2025	J	`jnl`	Face recognition in unconstrained environments with multimodal 2D/3D BiLSTM-CNN parallel model. Signal Image Video Process. Sahbi Bahroun
2025	C	`conf`	Stress Monitoring Using HRV and Deep Recurrent Neural Networks for Safety in Workplace: A Comparative Analysis. SoMeT Ghofrane Mzoughi, Jaouhar Fattahi, Mohamed Mejri, Sahbi Bahroun, Ridha Ghayoula
2024	C	`conf`	Cyberbullying Detection Using Bag-of-Words, TF-IDF, Parallel CNNs and BiLSTM Neural Networks. SoMeT Jaouhar Fattahi, Feriel Sghaier, Mohamed Mejri, Sahbi Bahroun, Ridha Ghayoula, Elyes Manai
2024	A	`conf`	RSA-1024 Cryptography on Artix-7 FPGA: Medical Imaging Application. ECAI Ridha Ghayoula, Wided Amara, Amor Smida, Jaouhar Fattahi, Mohamed Ibrahim Waly, Sahbi Bahroun, Issam El Gmati
2024	C	`conf`	Sexism Discovery using CNN, Word Embeddings, NLP and Data Augmentation. CoDIT Jaouhar Fattahi, Feriel Sghaier, Mohamed Mejri, Ridha Ghayoula, Sahbi Bahroun, Marwa Ziadia
2023	—	`conf`	Automatic Detection of Implicit and Typical Implementation of Singleton Pattern Based on Supervised Machine Learning. ICAART (3) Abir Nacef, Sahbi Bahroun, Adel Khalfallah, Samir Ben Ahmed
2023	—	`book`	Contributions à la construction de résumés Vidéos :application à la recherche d'objets génériques et à lareconnaissance faciale: Recherche à partir d'une base de vidéosRecherche d'objets génériquesreconnaissance faciale à partir de vidéosreconnaissance faciale. (Contributions to the building of video summaries:application to generic object search andfacial recognition / Contributions to the building of video summaries:application to generic object search andfacial recognition: Content based video retrieval generic objects searchfacial recognition from videos). Sahbi Bahroun
2023	J	`jnl`	Deep 3D-LBP: CNN-based fusion of shape modeling and texture descriptors for accurate face recognition. Vis. Comput. Sahbi Bahroun, Rahma Abed, Ezzeddine Zagrouba
2023	C	`conf`	Detection of COVID-19 based on CT-Scan and X-ray images with Deep Convolutional Neural Network. INISTA Eya Abidi, Sahbi Bahroun
2023	B	`conf`	Features and Supervised Machine Learning Based Method for Singleton Design Pattern Variants Detection. ENASE Abir Nacef, Sahbi Bahroun, Adel Khalfallah, Samir Ben Ahmed
2023	B	`conf`	Supervised Machine Learning for Recovering Implicit Implementation of Singleton Design Pattern. ENASE Abir Nacef, Sahbi Bahroun, Adel Khalfallah, Samir Ben Ahmed
2022	B	`conf`	3D Shape and Texture Features Fusion using Auto-Encoder for Efficient Face Recognition. ICPR Sahbi Bahroun, Rahma Abed, Ezzeddine Zagrouba
2022	—	`conf`	Defining and Extracting Singleton Design Pattern Information from Object-Oriented Software Program. ICCCI (CCIS Volume) Abir Nacef, Adel Khalfallah, Sahbi Bahroun, Samir Ben Ahmed
2021	J	`jnl`	KS-FQA: Keyframe selection based on face quality assessment for efficient face recognition in video. IET Image Process. Sahbi Bahroun, Rahma Abed, Ezzeddine Zagrouba
2021	J	`jnl`	KeyFrame extraction based on face quality measurement and convolutional neural network for efficient face recognition in videos. Multim. Tools Appl. Rahma Abed, Sahbi Bahroun, Ezzeddine Zagrouba
2021	—	`conf`	Toward a Robust Shape and Texture Face Descriptor for Efficient Face Recognition in the Wild. CAIP (2) Rahma Abed, Sahbi Bahroun, Ezzeddine Zagrouba
2020	B	`conf`	Face Retrieval in Videos using Face Quality Assessment and Convolution Neural Networks. ICCP Rahma Abed, Sahbi Bahroun, Ezzeddine Zagrouba
2019	J	`jnl`	Key frame extraction for video summarization using local description and repeatability graph clustering. Signal Image Video Process. Hana Gharbi, Sahbi Bahroun, Ezzeddine Zagrouba
2017	Misc	`conf`	Key frames extraction using graph modularity clustering for efficient video summarization. ICASSP Hana Gharbi, Sahbi Bahroun, Mohamed Massaoudi, Ezzeddine Zagrouba
2016	—	`conf`	A Novel Key Frame Extraction Approach for Video Summarization. VISIGRAPP (3: VISAPP) Hana Gharbi, Sahbi Bahroun, Ezzeddine Zagrouba
2016	B	`conf`	Key Frames Extraction Based on Local Features for Efficient Video Summarization. ACIVS Hana Gharbi, Mohamed Massaoudi, Sahbi Bahroun, Ezzeddine Zagrouba
2014	C	`conf`	Local query on satellite images based on interest points. IGARSS Sahbi Bahroun, Hana Gharbi, Ezzeddine Zagrouba
2012	B	`conf`	Wavelet based watermarking on 3D irregular meshes. ICIP Meha Hachani, Azza Ouled Zaid, Sahbi Bahroun
2010	B	`conf`	Hierarchical visual thesaurus building for satellite image retrieval based on semantic region labelling. ICIP Sahbi Bahroun, Nozha Boujemaa, Ziad Belhadj
2008	—	`conf`	Semantic region labelling using a point pattern analysis. EUSIPCO Sahbi Bahroun, Ziad Belhadj, Nozha Boujemaa

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.