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Informations du chercheur

Nom complet

KALOUN Soulaimane

Grade

PH

Spécialité

Informatique

Thématique de recherche

Systèmes de Recommandation, MAchine learning, Deep learning; data Sciences

Laboratoire

Laboratoire d’Ingénierie Informatique et Systèmes

Établissement

Faculte des Sciences et Techniques Gueliz

Projets (0 au total)

Aucun projet disponible.

Publications (20 au total)

Towards a Multi-Objective and Contextual Multi-Criteria Recommender System for Enhancing User Well-Being in Sustainable Smart Homes

Auteur: Oumaima Stitini, Soulaimane Kaloun

Revue: Electronics

Année: 2025

DOI: 10.3390/electronics14040809

Combining IoMT and XAI for Enhanced Triage Optimization: An MQTT Broker Approach with Contextual Recommendations for Improved Patient Priority Management in Healthcare

Auteur: Oumaima Stitini, Fathia Ouakasse, Said Rakrak, Soulaimane Kaloun, Omar Bencharef

Revue: International Journal of Online and Biomedical Engineering (iJOE)

Année: 2024

DOI: 10.3991/ijoe.v20i07.47483

An improved self-training model to detect fake news categories using multi-class classification of unlabeled data: fake news classification with unlabeled dat

Auteur: Soulaimane KALOUN, Oumaima Stitini, Sara QASSIMI, Omar Bencharef

Revue: International. Journal of Systematic Innovation

Année: 2024

DOI: 10.6977/IJoSI.202403_8

The Use of a Genetic Algorithm to Alleviate the Limited Content Issue in a Content-Based Recommendation System

Auteur: Oumaima Stitini, Soulaimane Kaloun, Omar Bencharef

Revue: Artificial Intelligence and Smart Environment

Année: 2023

DOI: 10.1007/978-3-031-26254-8_112

Towards a robust solution to mitigate all content-based filtering drawbacks within a recommendation system

Auteur: Oumaima Stitini, soulaimane KALOUN, Omar Bencharef

Revue: International Journal of Systematic Innovation

Année: 2023

DOI: https://doi.org/10.6977/IJoSI.202309_7(7).0006

Towards Ideal and Efficient Recommendation Systems Based on the Five Evaluation Concepts Promoting Serendipity

Auteur: Soulaimane KALOUN, Oumaima Stitini, Ivá N Garcí A-Magariño, Omar Bencharef

Revue: Journal of Advances in Information Technology

Année: 2023

DOI: 10.12720/jait.14.4.701-717

INVESTIGATING DIFFERENT SIMILARITY METRICS USED IN VARIOUS RECOMMENDER SYSTEMS TYPES: SCENARIO CASES

Auteur: O. Stitini, S. Kaloun, O. Bencharef

Revue: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Année: 2022

DOI: 10.5194/isprs-archives-xlviii-4-w3-2022-187-2022

Towards the Detection of Fake News on Social Networks Contributing to the Improvement of Trust and Transparency in Recommendation Systems: Trends and Challenges

Auteur: Oumaima Stitini, Soulaimane Kaloun, Omar Bencharef

Revue: Information

Année: 2022

DOI: 10.3390/info13030128

Integrating contextual information into multi-class classification to improve the context-aware recommendation

Auteur: Oumaima Stitini, S. KALOUN , Omar Bencharef

Revue: Procedia Computer Science

Année: 2022

DOI: https://doi.org/10.1016/j.procs.2021.12.246

Communications (15 au total)

A Semantic Approach for Mathematical Expression Retrieval

Manifestation: 3rd International Conference on Knowledge and Software Engineering

Date: March 20-22, 2017

Organisation: Paris, France

TOWARDS THE DETECTION OF FAKE NEWS PATTERNS USING MULTI CLASSIFICATION OF UNLABELED DATA

Manifestation: International Network of Research and Training

Date: March 06-07, 2021

Organisation: Agadir – Morocco

How Can We Analyse Emotions On Twitter During An Epidemic Situation? A Feature Engineering Approach To Evaluate People’s Emotions During The Covid-19 Pandemic

Manifestation: International Network of Research and Training

Date: March 06-07, 2021

Organisation: Agadir – Morocco

IOT-RC: A Novel IoT-Based Approach to Address Data Sparsity in Context-Aware Recommendation Systems

Manifestation: The 5th International Conference on Computer Science, Artificial Intelligence & Application

Date: 2024-06-10

Organisation: Marrakech, MAroc

Contextual Wellness Recommender System: Leveraging IoT Data for contextual Healthcare Recommendations

Manifestation: The 5th International Conference on Computer Science, Artificial Intelligence & Application

Date: 2024-06-10

Organisation: Marrakech, MAroc

A scenario case study of a recommender system designed using various collaborative filtering algorithm techniques

Manifestation: The 4th International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS’23)

Date: 2023-10-26

Organisation: Taza, MAROC

INVESTIGATING DIFFERENT SIMILARITY METRICS USED IN VARIOUS RECOMMENDER SYSTEMS TYPES: SCENARIO CASES.

Manifestation: SCA2022- International Conference on Smart City’s Application,

Date: 2022-10-19

Organisation: Polytechnic Institute of Castelo Branco

An Improved Recommender System Solution to Mitigate the Over-Specialization Problem Using Genetic Algorithms.

Manifestation: n the Third Spring Conference on Applied Science, Computing and Management.

Date: 2022-07-02

Organisation: FST marrakech

Integrating contextual information into multi-class classification to improve the context-aware recommendation

Manifestation: The 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks

Date: 2021-11-01

Organisation: Leuven, Belgium