Qassimi Sara - Profil du chercheur

Informations du chercheur

Nom complet

Qassimi Sara

Grade

Spécialité

Informatique

Thématique de recherche

Système de recommandation, Intelligence Artificielle, Web Sémantique, intelligence collective

Laboratoire

Laboratoire d’Ingénierie Informatique et Systèmes

Établissement

Faculte des Sciences et Techniques Gueliz

Ouvrages (3 au total)

Intelligent Systems and Pattern Recognition

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Année: 2025

Éditeur: Springer

Digital Technologies and Applications

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Année: 2024

Éditeur: Springer

Pedagogy, Didactics and Educational Technologies

Auteur: Sara Qassimi, Meriem Hafidi, El Hassan Abdelwahed, Aimad Qazdar

Année: 2022

Éditeur: Pedagogy, Didactics and Educational Technologies

Projets (0 au total)

Aucun projet disponible.

Publications (48 au total)

Multi-objective contextual bandits in recommendation systems for smart tourism

Auteur: Sara Qassimi, Said Rakrak

Revue: Scientific Reports

Année: 2025

DOI: 10.1038/s41598-025-89920-2

A multi-objective optimization approach for session-based recommendation systems

Auteur: Fatima Ezzahra Zaizi, Sara Qassimi, Said Rakrak

Revue: Journal of Intelligent Information Systems

Année: 2025

DOI: 10.1007/s10844-025-00935-7

Leveraging DQN-Based Recommender Systems for E-Commerce in Smart Cities

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Revue: Communications in Computer and Information Science

Année: 2025

DOI: 10.1007/978-3-031-82153-0_2

From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction

Auteur: Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

Revue: Applied Artificial Intelligence

Année: 2025

DOI: 10.1080/08839514.2025.2452675

Deep Collaborative Filtering Recommender Systems in Smart Cities: A Systematic Review

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Revue: Knowledge and Information Systems

Année: 2025

DOI: 10.1007/s10115-02502644-7

Emotion and sentiment enriched decision transformer for personalized recommendations.

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Revue: Scientific Reports

Année: 2025

DOI: 10.1038/s41598-02506386-y

Multi-objective reinforcement learning for recommender systems: a comprehensive survey of methods, challenges, and future directions.

Auteur: Fatima Ezzahra Zaizi, Sana Abakarim, Sara Qassimi, & Said Rakrak

Revue: International Journal of Multimedia Information Retrieval

Année: 2025

DOI: 10.1007/s13735-02500383-7

A deep autoencoder-enhanced multi-objective evolutionary algorithm for recommender systems

Auteur: Fatima Ezzahra Zaizi, Sara Qassimi, Said Rakrak

Revue: Journal of Supercomputing

Année: 2025

DOI: 10.1007/s11227-025-07589-w

Multi-objective Optimization for Personalized and Fairness Recommender Systems: A Hybrid Approach

Auteur: Fatima Ezzahra Zaizi, Sara Qassimi, Said Rakrak

Revue: SN Computer Science

Année: 2025

DOI: 10.1007/s42979-025-04230-8

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Communications (14 au total)

Advancing Flotation Process Optimization Through Real-Time Machine Vision Monitoring: A Convolutional Neural Network Approach

Manifestation: Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

Date: 2023

Organisation: vol. undefined, issue undefined, p. undefined

Artificial Neural Network with Learning Analytics for Student Performance Prediction in Online Learning Environment

Manifestation: International Conference on Advanced Intelligent Systems for Sustainable Development

Date: 2023

Organisation: vol. undefined, issue undefined, p. 788-801

Conv-LSTM for Real Time Monitoring of the Mineral Grades in the Flotation Froth

Manifestation: Proceedings of the 12th International Conference on Data Science, Technology and Applications

Date: 2023

Organisation: vol. undefined, issue undefined, p. undefined

Recommender system for smart cities: Applications and Challenge

Manifestation: The Third Spring Conference on Applied Science, Computing and Management (SCASM 2022)

Date: 2022-30-05

Organisation: Marrakech

Time-Aware User Profile Enrichment in the Collective Intelligence Context

Manifestation: Advanced Intelligent Systems for Sustainable Development (AI2SD’2020)

Date: 2022

Organisation: vol. undefined, issue undefined, p. 277-290

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Thèses (0 au total)

Aucune thèse disponible.