Kaouther Nouira

A. Professor

Discipline: Computer Science

41 Av de la liberté. Bouchoucha. Bardo. 2000. Tunis. Tunisia, Bardo, 2000. Tunisia , TUNISIA

https://www.mysciencework.com/profile/kaouther.nouira

Summary

Kaouther Nouira Assistant Professor in IT Department at Institut Supérieur de Gestion de Tunis, Univertsité de Tunis. Has held several positions. Currently, she is Chair of Research Master Enterprise Engineering Systems, Masters Commission Member, Recruitment Committee for Master Students Member and Business and Economic Statistics Modeling Laboratory Council Member at Institut Supérieur de Gestion de Tunis. She was Deputy Chief of Service at BH Bank in charge of Strategic Studies, Head teacher at the Higher Institute of Technology in Riyadh-KSA, IT Department Head, Scientific Council Member, Disciplinary Council Member at Institut Supérieur de Gestion de Tunis.
Has taught more than 35 modules, co-supervised 7 doctoral theses and supervised 27 Research Masters and 12 Professional Masters.
She has published 12 journal papers, 9 book chapters, 21 papers in international conferences, 1 paper in a national conference, 3 patent applications, two algorithms (MC4.5 and VFC4.5) and a database.
Internationally, she is involved in the revision of several papers for international journals, she has chaired 4 conferences, 8 organizing committees and she was a member of five program committees.
His project won the third scalable project award of BOOTCAMP : Innovators Academy From Research to Innovation / 23 and 24 April 2019.
His research interests are : Machine Learning, Smart Health and Artificial Intelligence, Health 4.0.

Published articles Show More

Intelligent Monitoring System for Intensive Care Units

Kaouther Nouira Trabelsi, Abdelwahed

Published in Journal of Medical Systems

We address in the present paper a medical monitoring system designed as a multi-agent based approach. Our system includes mainly numerous agents that act as correlated multi-agent sub-systems at the three layers of the whole monitoring infrastructure, to avoid non informative alarms and send effective alarms at time. The intelligence in the propose...

Books Show More

Incremental Real Time Support Vector Machines

Ben Rejab, Fahmi Kaouther Nouira

Published in Hybrid Intelligent Systems

This paper investigates the problem of handling large data stream and adding new attributes over time. We propose a new approach that employs the dynamic learning when classifying dynamic datasets. Our proposal consists of the incremental real time support vector machines (I-RTSVM) which is an improved version of the support vector machines (SVM) a...

An Adverse Drug Events Ontology Population from Text Using a Multi-class SVM Based Approach

Jabnoun, Ons Achour, Hadhemi Kaouther Nouira

Published in Lecture Notes in Business Information Processing

In recent years, semantic web technologies and ontologies in particular, are being increasingly used in various e-Health systems and applications. However, issues related to automatically constructing, populating and enriching such ontologies are still outstanding. In this paper, we propose an automatic Adverse Drug Events (ADE) ontology population...

Big Data Classification: A Combined Approach Based on Parallel and Approx SVM

Ksiaâ, Walid Rejab, Fahmi Ben Kaouther Nouira

Published in Intelligent Interactive Multimedia Systems and Services 2017

This paper presents a combined solution for Big Data classification, by using one of the extended versions of the Support Vector Machines (SVM), known as the Parallel Support Vector Machines (PSVM). The main problem assumes that, once a PSVM model is obtained, a feature can be removed overtime, resulting in a decrease of the accuracy with the exist...