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Informations du chercheur

Nom complet

Qassimi Sara

Grade

PA

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

Projets (0 au total)

Aucun projet disponible.

Publications (48 au total)

Active learning-based multi-armed bandits for recommendation systems

Auteur: Bachir Asri, Sara Qassimi, Said Rakrak

Revue: Knowledge and Information Systems

Année: 2025

DOI: 10.1007/s10115-025-02502-6

Adaptive Personalized Recommendation Systems: A Systematic Review

Auteur: Bachir Asri, Sara Qassimi, Said Rakrak

Revue: Information Systems

Année: 2025

DOI: 10.1016/j.is.2025.102594

Enhancing resilience in complex energy systems through real-time anomaly detection: a systematic literature review

Auteur: Ali Aghazadeh Ardebili, Oussama Hasidi, Ahmed Bendaouia, Adem Khalil, Sabri Khalil, Dalila Luceri, Antonella Longo, El Hassan Abdelwahed, Sara Qassimi, Antonio Ficarella

Revue: Energy Informatics

Année: 2024

DOI: 10.1186/s42162-024-00401-8

Context Embedding Deep Collaborative Filtering (CEDCF) in the Higher Education Sector

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Revue: Multimedia Tools and Applications

Année: 2024

DOI: 10.1007/s11042-02420051-y

Data-driven system for intelligent monitoring and optimization of froth flotation circuits using Artificial Neural Networks and Genetic Algorithms

Auteur: Oussama Hasidi, El Hassan Abdelwahed, Moulay Abdellah El Alaoui-Chrifi, Rachida Chahid, Aimad Qazdar, Sara Qassimi, Fatima Zahra Zaizi, François Bourzeix, Intissar Benzakour, Ahmed Bendaouia

Revue: Journal of Process Control

Année: 2024

DOI: 10.1016/j.jprocont.2024.103198

Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0

Auteur: Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Mustapha Ahricha, Oumkeltoum Amar, François Bourzeix

Revue: Communications in Computer and Information Science

Année: 2024

DOI: 10.1007/978-3-031-66705-3_10

Context Embedding Deep Collaborative Filtering (CEDCF) in the higher education sector

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Revue: Multimedia Tools and Applications

Année: 2024

DOI: 10.1007/s11042-024-20051-y

Multi-objective Evolutionary Algorithms in Recommender Systems

Auteur: Fatima Ezzahra Zaizi, Sara Qassimi, Said Rakrak

Revue: Lecture Notes in Networks and Systems

Année: 2024

DOI: 10.1007/978-3-031-68650-4_33

Enhancing Visitor Experiences using Deep Reinforcement Learning in Smart Cities

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Revue: Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security

Année: 2024

DOI: 10.1145/3659677.3659754

Communications (14 au total)

Enhancing Social Recommendations Using Deep Reinforcement Learning in Online Communities

Manifestation: The International colloquium on artificial intelligence and its applications ( ICAIA’24 )

Date: 2024-11-01

Organisation: Marrakech

Enhancing Consumer Experiences Using Deep Reinforcement Learning in E-Commerce

Manifestation: Conference: The 5th International Conference on Computer Science, Artificial Intelligence & Application (ICCSAIA’24

Date: 2024-11-01

Organisation: Marrakech

A Hybrid Multi-Objective Immune Algorithm for Commercial Recommendation Systems

Manifestation: ICSAIA'24

Date: 2024-06-01

Organisation: Marrakech

Efficiently Optimizing Tourism Recommendation Systems with Multi-Objective Evolutionary Algorithms

Manifestation: ICAIA’24

Date: 2024-05-01

Organisation: Marrakech

Use of Deep Learning for tourism recommendations enhancing smart living dimension

Manifestation: The 4th International Conference on Applied Sciences & Computer Engineering (CASCE’23)

Date: 2023-30-11

Organisation: Marrakech

An Examination of Evolutionary Algorithms in Multi-Objective Recommender Systems

Manifestation: The 4th International Conference on Applied Sciences & Computer Engineering (CASCE’23)

Date: 2023-30-11

Organisation: Marrakech

Use of Deep Learning for tourism recommendations enhancing smart living dimension

Manifestation: The 4th International Conference on Applied Sciences & Computer Engineering (CASCE’23)

Date: 2023-30-11

Organisation: Marrakech

An examination of evolutionary algorithm in multi-objective recommender systems

Manifestation: CASCE 23

Date: 2023-11-01

Organisation: Marrakech

A Comparative Study of Evolutionary Algorithms for Multi-Objective Recommender Systems

Manifestation: 2023 9th International Conference on Optimization and Applications (ICOA)

Date: 2023

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

Thèses (0 au total)

Aucune thèse disponible.