24 citations · 101 across the 25 of their papers we have counts for
7 papers · 1 filter
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…
Characterization of Dynamic Bayesian Network
Nabil ghanmy, Mohamed Ali Mahjoub, Najoua Essoukri Ben Amara
In this report, we will be interested at Dynamic Bayesian Network (DBNs) as a model that tries to incorporate temporal dimension with uncertainty. We start with basics of DBN where…
Automatic liver segmentation method in CT images
Oussema zayane, besma jouini, Mohamed Ali Mahjoub
The aim of this work is to develop a method for automatic segmentation of the liver based on a priori knowledge of the image, such as location and shape of the liver.
New approach using Bayesian Network to improve content based image classification systems
Khlifia jayech, mohamed ali mahjoub
This paper proposes a new approach based on augmented naive Bayes for image classification. Initially, each image is cutting in a whole of blocks. For each block, we compute a vect…
Image segmentation by adaptive distance based on EM algorithm
Mohamed Ali Mahjoub, karim kalti
This paper introduces a Bayesian image segmentation algorithm based on finite mixtures. An EM algorithm is developed to estimate parameters of the Gaussian mixtures. The finite mix…