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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 (40 au total)

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

Leveraging Deep Collaborative Filtering for Advanced Recommender Systems

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Revue: Lecture Notes in Networks and Systems

Année: 2024

DOI: 10.1007/978-3-031-68650-4_7

Integrating Active Learning Strategies in Model Based Recommender Systems

Auteur: Bachir Asri, Iliass Igmoullan, Sara Qassimi

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

Année: 2024

DOI: 10.1145/3659677.3659838

Towards an efficient tourism recommendation system using multi-objective evolutionary optimization

Auteur: Fatima Ezzahra Zaizi, Sara Qassimi, Said Rakrak

Revue: 2024 International Conference on Control, Automation and Diagnosis (ICCAD)

Année: 2024

DOI: 10.1109/iccad60883.2024.10553845

Enhancing E-commerce Recommender Systems through Multi-Objective Immune Algorithm

Auteur: Fatima Ezzahra Zaizi, Sara Qassimi, Said Rakrak

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

Année: 2024

DOI: 10.1145/3659677.3659702

Knowledge Transfer for Cross-Domain Book Recommender System

Auteur: Ben Jaafar Chaima, M.’rhar Kaoutar, Qassimi Sara

Revue: Lecture Notes in Networks and Systems

Année: 2024

DOI: 10.1007/978-3-031-68675-7_27

Advanced Spatio-Temporal Froth Analysis Using Smart Soft Sensors in Mineral Processing

Auteur: Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Oumkeltoum Amar, Mohamed Chekroun, Oussama Hasidi, Oussama Lachihab

Revue: SN Computer Science

Année: 2024

DOI: 10.1007/s42979-024-02706-7

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

Auteur: Oumaima Stitini, Soulaimane Kaloun, Omar Bencharef, Sara Qassimi

Revue: International Journal of Systematic Innovation

Année: 2024

DOI: 10.6977/IJoSI.202403_8(1).0002

Review on Recent Trends in Recommender Systems for Smart Cities

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Revue: Lecture Notes on Data Engineering and Communications Technologies

Année: 2023

DOI: 10.1007/978-3-031-27762-7_30

Communications (14 au total)

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

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

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

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

An examination of evolutionary algorithm in multi-objective recommender systems

Manifestation: CASCE 23

Date: 2023-11-01

Organisation: Marrakech

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

Thèses (0 au total)

Aucune thèse disponible.