Mohamed Ali Mahjoub

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Lecturer at ENISO since 2013, Assistant professor in Computer Science at IPEIM since 1999, Engineer and then Senior Engineer in Computer Science at ENIT from 1991-1999, Contract Engineer in Formal IT at CTMCCV 1990-1991.

Mohamed Ali Mahjoub

Featured Co-authors

Dinggang Shen

Gang Li

Islem Rekik

Mohamed Nazih Omri

Ihsen Alouani

Pierre-Henri Conze

Weili Lin

Alaa Bessadok

Najoua Essoukri Ben Amara

Ahmed Nebli

Karim Kalti

Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability

StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis

A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint

Graph Neural Networks in Network Neuroscience

Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network

Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph

Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation

Spherical harmonics entropy for optimal 3D modeling

Adaptive strategy for superpixel-based region-growing image segmentation

Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions

Comparative study and enhancement of Camera Tampering Detection algorithms

A combined Approach Based on Fuzzy Classification and Contextual Region Growing to Image Segmentation

Unsupervised image segmentation by Global and local Criteria Optimization Based on Bayesian Networks

Dynamic Hierarchical Bayesian Network for Arabic Handwritten Word Recognition

Multiple models of Bayesian networks applied to offline recognition of Arabic handwritten city names

Etude de Modèles à base de réseaux Bayésiens pour l'aide au diagnostic de tumeurs cérébrales

Use of Fuzzy Sets in Semantic Nets for Providing On-Line Assistance to User of Technological Systems

The threshold EM algorithm for parameter learning in bayesian network with incomplete data

Clustering and Bayesian network for image of faces classification

Characterization of Dynamic Bayesian Network