Papers by Radhouane Guermazi
Impact of sampling on learning asymmetric-entropy decision trees from imbalanced data
Learning from imbalanced data is still a challenging problem in spite of more than two decades of... more Learning from imbalanced data is still a challenging problem in spite of more than two decades of continuous development in this field. To deal with this problem, several data-level and algorithmic-level methods are proposed. Hybrid methods, which combine the advantages of the two previous groups, are also gaining increasing popularity. Therefore, in this paper, we put our focus on new hybrid approaches combining different sampling strategies with adapted decision trees to tackle the binary imbalanced problems. Our experiments consider five preprocessing methods and three asymmetric split criteria, which results in fifteen evaluated combinations. Unlike the majority of the studies, we take into account the intrinsic data characteristics in the analysis of each finding in order to gain a deeper understanding in the field of imbalanced data. The achieved findings, supported by statistical tests, end up to learn the extent to which sampling can be advantageous when combined with algori...
Résumé: Le concept du codage de sources distribuées ou DSC pour «Distributed Source Coding» fut i... more Résumé: Le concept du codage de sources distribuées ou DSC pour «Distributed Source Coding» fut introduit en 1973 par Slepian et Wolf. Ce domaine de la théorie de l'information traite la compression séparée des sources corrélées et a pour but la minimisation du coût de leur description conjointe. Dans le cadre de la transmission à partir de terminaux portables, il est important que le schéma fonctionnel de la chaîne soit d'une part constitué d'un codeur simple, et d'autre part robuste aux erreurs de transmission afin d'être adapté aux ...
Imbalanced Learning for Robust Moving Object Classification in Video Surveillance Applications
Intelligent Systems Design and Applications, 2022
Using Normal/Abnormal Video Sequence Categorization to Efficient Facial Expression Recognition in the Wild
Advanced Concepts for Intelligent Vision Systems
The facial expression recognition in real-world conditions, with a large variety of illumination,... more The facial expression recognition in real-world conditions, with a large variety of illumination, pose, resolution, and occlusions, is a very challenging task. The majority of the literature approaches, which deal with these challenges, do not take into account the variation of the quality of the different videos. Unlike these approaches, this paper suggests treating the video sequences according to their quality. Using Isolation Forests (IF) algorithm, the video sequences are categorized into two categories: normal videos that visibly express clear illumination and frontal pose of face, and abnormal videos that present poor illumination, different poses of face, occulted face. Two independent facial expression classifiers for the normal and abnormal videos are built using Random Forests (RF) algorithm. The experiments have demonstrated that processing independently normal and abnormal videos can be used to improve the efficiency of the facial expression recognition in the Wild.
Proceedings of the 19th International Conference on Enterprise Information Systems, 2017
This paper suggests an approach to automatic facial expression recognition for images of frontal ... more This paper suggests an approach to automatic facial expression recognition for images of frontal faces. Two methods of appearance features extraction is combined: Local Binary Pattern (LBP) on the whole face region and Eigenfaces on the eyes-eyebrows and/or on the mouth regions. Support Vector Machines (SVM), K Nearest Neighbors (KNN) and MultiLayer Perceptron (MLP) are applied separately as learning technique to generate classifiers for facial expression recognition. Furthermore, we conduct to the many empirical studies to fix the optimal parameters of the approach. We use three baseline databases to validate our approach in which we record interesting results compared to the related works regardless of using faces under controlled and uncontrolled environment.
Student Behavior Recognition in Classroom using Deep Transfer Learning with VGG-16
Procedia Computer Science
Towards Micro-expression Recognition Through Pyramid of Uniform Temporal Local Binary Pattern Features
Advances in Intelligent Systems and Computing
Facial micro-expression recognition based on accordion spatio-temporal representation and random forests
Journal of Visual Communication and Image Representation
Facial-expression recognition based on a low-dimensional temporal feature space
Multimedia Tools and Applications
Enhancing techniques for learning decision trees from imbalanced data
Advances in Data Analysis and Classification
AECID: Asymmetric entropy for classifying imbalanced data
Information Sciences
Adapted pruning scheme for the framework of imbalanced data-sets
Procedia Computer Science
Distributed source coding of still images
2005 13th European Signal Processing Conference, 2005
Filtrage des sites Web � caract�re violent par analyse du contenu textuel et structurel
F Egc, 2007
Filtrage des sites Web à caractère violent par analyse du contenu textuel et structure
Worst case end-to-end response times of periodic tasks with an AUTOSAR/FlexRay infrastructure Emanuele Toscano and Lucia Lo Bello On the Use of IEEE …
Proceedings of 7th International Workshop on …, 2008
The AUTOSAR system is considered as an interesting solution to improve reusability of the softwar... more The AUTOSAR system is considered as an interesting solution to improve reusability of the software developed for automotive applications. Furthermore, FlexRay network is now considered for network communication in automotive applications. In this ...
Automatic violent content web filtering approach based on the KDD process
International Journal of Web Information Systems, 2008
Purpose – The growth of the web and the increasing number of documents electronically available h... more Purpose – The growth of the web and the increasing number of documents electronically available has been paralleled by the emergence of harmful web pages content such as pornography, violence, racism, etc. This emergence involved the necessity of providing filtering systems designed to secure the internet access. Most of them process mainly the adult content and focus on blocking pornography,
Classification of violent web images using context based analysis
Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10, 2010
... In International Conference on Computational Science, volume 3, pages 772779, 2007. [5] R. G... more ... In International Conference on Computational Science, volume 3, pages 772779, 2007. [5] R. Guermazi, M. Hammami, and A. Ben-Hamadou. ... ACM. [10] S. Noah, A. Azilawati, T. Tengku-Sembok, and T. Tengku-Siti-Meriam. Exploiting surrounding text for retrieving web images. ...
Violent Web images classification based on MPEG7 color descriptors
IEEE International Conference on Systems, Man, and Cybernetics, 2009
In this article, we present a contribution to the violent Web images classification. This subject... more In this article, we present a contribution to the violent Web images classification. This subject is deeply important as it has a potential use for many applications such as violent Web sites filtering. We propose to combine the techniques of image analysis and data-mining to relate low level characteristics extracted from the image's colors to a higher characteristic of violence
Classification of violent web images using context based analysis
Proceedings of the 2010 …, 2010
... In International Conference on Computational Science, volume 3, pages 772779, 2007. [5] R. G... more ... In International Conference on Computational Science, volume 3, pages 772779, 2007. [5] R. Guermazi, M. Hammami, and A. Ben-Hamadou. ... ACM. [10] S. Noah, A. Azilawati, T. Tengku-Sembok, and T. Tengku-Siti-Meriam. Exploiting surrounding text for retrieving web images. ...
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Papers by Radhouane Guermazi