24 citations · 101 across the 25 of their papers we have counts for
28 papers
Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability
Bilel Tarchoun, Ihsen Alouani, Anouar Ben Khalifa +1
While machine learning applications are getting mainstream owing to a demonstrated efficiency in solving complex problems, they suffer from inherent vulnerability to adversarial at…
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis
Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
Synthesizing multimodality medical data provides complementary knowledge and helps doctors make precise clinical decisions. Although promising, existing multimodal brain graph synt…
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint
Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub +4
Charting the baby connectome evolution trajectory during the first year after birth plays a vital role in understanding dynamic connectivity development of baby brains. Such analys…
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping
Islem Mhiri, Ahmed Nebli, Mohamed Ali Mahjoub +1
Brain graph synthesis marked a new era for predicting a target brain graph from a source one without incurring the high acquisition cost and processing time of neuroimaging data. H…
Graph Neural Networks in Network Neuroscience
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Noninvasive medical neuroimaging has yielded many discoveries about the brain connectivity. Several substantial techniques mapping morphological, structural and functional brain co…
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Brain graphs (i.e, connectomes) constructed from medical scans such as magnetic resonance imaging (MRI) have become increasingly important tools to characterize the abnormal change…
Towards New Multiwavelets: Associated Filters and Algorithms. Part I: Theoretical Framework and Investigation of Biomedical Signals, ECG and Coronavirus Cases
Malika Jallouli, Makerem Zemni, Anouar Ben Mabrouk +1
Biosignals are nowadays important subjects for scientific researches from both theory and applications especially with the appearance of new pandemics threatening humanity such as…
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Several works based on Generative Adversarial Networks (GAN) have been recently proposed to predict a set of medical images from a single modality (e.g, FLAIR MRI from T1 MRI). How…
Supervised Multi-topology Network Cross-diffusion for Population-driven Brain Network Atlas Estimation
Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik
Estimating a representative and discriminative brain network atlas (BNA) is a nascent research field in mapping a population of brain networks in health and disease. Although limit…
A Comparative Study of Filtering Approaches Applied to Color Archival Document Images
Walid Elhedda, Maroua Mehri, Mohamed Ali Mahjoub
Current systems used by the Tunisian national archives for the automatic transcription of archival documents are hindered by many issues related to the performance of the optical c…
Spherical harmonics entropy for optimal 3D modeling
Malika Jallouli, Wafa Bel Hadj Khalifa, Anouar Ben Mabrouk +1
3D image processing constitutes nowadays a challenging topic in many scientific fields such as medicine, computational physics and informatics. Therefore, development of suitable t…
Adaptive strategy for superpixel-based region-growing image segmentation
Mahaman Sani Chaibou, Pierre-Henri Conze, Karim Kalti +2
This work presents a region-growing image segmentation approach based on superpixel decomposition. From an initial contour-constrained over-segmentation of the input image, the ima…
Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions
Samya Amiri, Mohamed Ali Mahjoub, Islem Rekik
We introduce a dynamic multiscale tree (DMT) architecture that learns how to leverage the strengths of different existing classifiers for supervised multi-label image segmentation.…
Mouse Movement and Probabilistic Graphical Models Based E-Learning Activity Recognition Improvement Possibilistic Model
Anis Elbahi, Mohamed Nazih Omri, Mohamed Ali Mahjoub +1
Automatically recognizing the e-learning activities is an important task for improving the online learning process. Probabilistic graphical models such as hidden Markov models and…
Database of handwritten Arabic mathematical formulas images
Ibtissem Hadj Ali, Mohammed Ali Mahjoub
Although publicly available, ground-truthed database have proven useful for training, evaluating, and comparing recognition systems in many domains, the availability of such databa…
Comparative study and enhancement of Camera Tampering Detection algorithms
Mabrouka Hagui, Mohamed Ali Mahjoub, Ahmed Boukhris
Recently the use of video surveillance systems is widely increasing. Different places are equipped by camera surveillances such as hospitals, schools, airports, museums and militar…
A combined Approach Based on Fuzzy Classification and Contextual Region Growing to Image Segmentation
Mahaman Sani Chaibou, Karim Kalti, Bassel Soulaiman +1
We present in this paper an image segmentation approach that combines a fuzzy semantic region classification and a context based region-growing. Input image is first over-segmented…
Unsupervised image segmentation by Global and local Criteria Optimization Based on Bayesian Networks
Mohamed Ali Mahjoub, Mohamed Mhiri
Today Bayesian networks are more used in many areas of decision support and image processing. In this way, our proposed approach uses Bayesian Network to modelize the segmented ima…
Hidden Markov Model for Inferring Learner Task Using Mouse Movement
Elbahi Anis, Mohamed Ali Mahjoub, Mohamed Nazih Omri
One of the issues of e-learning web based application is to understand how the learner interacts with an e-learning application to perform a given task. This study proposes a metho…
Dynamic Hierarchical Bayesian Network for Arabic Handwritten Word Recognition
Khaoula jayech, Nesrine Trimech, Mohamed Ali Mahjoub +1
This paper presents a new probabilistic graphical model used to model and recognize words representing the names of Tunisian cities. In fact, this work is based on a dynamic hierar…
Multiple models of Bayesian networks applied to offline recognition of Arabic handwritten city names
Mohamed Ali Mahjoub, Nabil Ghanmy, Khlifia jayech +1
In this paper we address the problem of offline Arabic handwriting word recognition. Off-line recognition of handwritten words is a difficult task due to the high variability and u…
Use of Fuzzy Sets in Semantic Nets for Providing On-Line Assistance to User of Technological Systems
Mohamed Nazih Omri, Mohamed Ali Mahjoub
The main objective of this paper is to develop a new semantic Network structure, based on the fuzzy sets theory, used in Artificial Intelligent system in order to provide effective…
The threshold EM algorithm for parameter learning in bayesian network with incomplete data
Fradj Ben Lamine, Karim Kalti, Mohamed Ali Mahjoub
Bayesian networks (BN) are used in a big range of applications but they have one issue concerning parameter learning. In real application, training data are always incomplete or so…
Clustering and Bayesian network for image of faces classification
Khlifia Jayech, Mohamed Ali Mahjoub
In a content based image classification system, target images are sorted by feature similarities with respect to the query (CBIR). In this paper, we propose to use new approach com…