Sabeur Abid - RankMe

19 papers A 1B 3C 2Misc 1Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhanced pneumonia classification from chest X-ray images using hybrid capsule and LSTM networks with attention mechanisms and GAN integration. Prog. Artif. Intell. Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi
2025	C	`conf`	Advanced Deep Learning Strategies for Breast Cancer Image Analysis. IPAS Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi
2025	J	`jnl`	Biologically inspired hybrid model for Alzheimer's disease classification using structural MRI in the ADNI dataset. Frontiers Artif. Intell. Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi
2025	A	`conf`	Parkinson disease classification using kinematic and SVM. ICCAD Slim Ben Hassine, Ala Balti, Sabeur Abid, Mohamed Moncef Ben Khelifa, Mounir Sayadi
2025	C	`conf`	Revolutionary MRI Imaging for Alzheimer's: Cutting-Edge GANs and Vision Transformer Solutions. IPAS Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi
2024	J	`jnl`	A combinatorial deep learning method for Alzheimer's disease classification-based merging pretrained networks. Frontiers Comput. Neurosci. Houmem Slimi, Ala Balti, Sabeur Abid, Mounir Sayadi
2024	J	`jnl`	Enhanced fingerprint classification through modified PCA with SVD and invariant moments. Frontiers Artif. Intell. Ala Balti, Abdelaziz Hamdi, Sabeur Abid, Mohamed Moncef Ben Khelifa, Mounir Sayadi
2015	J	`jnl`	Fabric defect localization using line variances of the local homogeneity images. Comput. Syst. Sci. Eng. Ali Rebhi, Sabeur Abid, Farhat Fnaiech
2014	J	`jnl`	Identification of early-stage Alzheimer's disease using SFAM neural network. Neurocomputing Jaouher Ben Ali, Sabeur Abid, Barrie William Jervis, Farhat Fnaiech, Cristin Bigan, Mircea Besleaga
2012	J	`jnl`	Weld defect detection using a modified anisotropic diffusion model. EURASIP J. Adv. Signal Process. Issam Ben Mhammed, Sabeur Abid, Farhat Fnaiech
2007	B	`conf`	A Genetic Approach for Linear-Quadratic Channel Identification With Usual Communication Inputs. IJCNN Imen Cherif, Sabeur Abid, Farhat Fnaiech
2006	B	`conf`	Accelerating the Multilayer Perceptron Learning with the Davidon Fletcher Powell Algorithm. IJCNN Sabeur Abid, Aymen Mouelhi, Farhat Fnaiech
2005	—	`conf`	Blind identification of quadratic systems under i.i.d. excitation using genetic algorithms. ISSPA Imen Cherif, Sabeur Abid, Farhat Fnaiech
2005	B	`conf`	Fast training of multilayer perceptrons with a mixed norm algorithm. IJCNN Sabeur Abid, Farhat Fnaiech, Barrie W. Jervis, Mohamed Cheriet
2005	—	`conf`	Proposal Model for Stamping Application Using Artificial Neural Networks System. ANNIIP Noureddine Ben Yahia, Sabeur Abid, Ali Zghal
2002	—	`conf`	A new Neural Network pruning method based on the singular value decomposition and the weight initialisation. EUSIPCO Sabeur Abid, Farhat Fnaiech, Mohamed Najim
2001	J	`jnl`	A fast feedforward training algorithm using a modified form of the standard backpropagation algorithm. IEEE Trans. Neural Networks Sabeur Abid, Farhat Fnaiech, Mohamed Najim
2000	Misc	`conf`	Evaluation of the feedforward neural network covariance matrix error. ICASSP Sabeur Abid, Farhat Fnaiech, Mohamed Najim
1999	—	`conf`	A new fast neural network training algorithm based on a modified standard backpropagation (MBP) criterion minimization. NSIP Sabeur Abid, Farhat Fnaiech, Mohamed Najim

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.