activity
20122025
most citedAutomatic liver segmentation method in CT images

24 citations · 62 across the 14 of their papers we have counts for

collaborators

13 papers

cs.CR20231 cited

Jedi: Entropy-based Localization and Removal of Adversarial Patches

Bilel Tarchoun, Anouar Ben Khalifa, Mohamed Ali Mahjoub +2

Real-world adversarial physical patches were shown to be successful in compromising state-of-the-art models in a variety of computer vision applications. Existing defenses that are…

cs.AI2016

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…

cs.CV2016

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…

cs.CV2016

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…

cs.CV2015

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…

cs.HC2014

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…