الرئيسية › دليل الباحثين › Sara Qassimi
Sara Qassimi
الانتماء : Cadi Ayyad University
- 59منشورات (انتماء مغربي)
- 62مجموع المنشورات
- 510الاستشهادات
- 11مؤشر h
الملف البحثي
لدى Sara Qassimi 59 منشور(ات) مفهرسة (2016–2026). تُنشر أعماله أساسًا في «Communications in computer and information science»، «Lecture notes in networks and systems» و«Advances in intelligent systems and computing». أكثر مقالاته استشهادًا هو «Multi-objective optimization with recommender systems: A systematic review» (2023)، وقد استُشهد به 69 مرة. 31 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 12 باحثًا على الأقل، منهم باحثون من مؤسسات في بنغلاديش.
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إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Recommender Systems and Techniques
- Advanced Bandit Algorithms Research
- Information Retrieval and Search Behavior
- Minerals Flotation and Separation Techniques
- Fault Detection and Control Systems
المنشورات (59)
- Multi-objective Immune Computing for Recommender Systems: A TOPSIS-Based Optimization Approach
- Deep collaborative filtering recommender systems in smart cities: a systematic review
- A Hybrid Multi-Objective Immune Algorithm for Commercial Recommendation Systems
- Adaptive Transfer Learning for Mineral Grade Prediction in Mining Industry 4.0
- An adaptive scalarization framework for multi-objective recommender systems
- Agentic SHIFT: Auditable Multi-Agent Itinerary Planning for Cultural Heritage
- Multi-objective contextual bandits in recommendation systems for smart tourism
- From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction
- Emotion and sentiment enriched decision transformer for personalized recommendations
- Adaptive Personalized Recommendation Systems: A systematic Review
- Multi-objective reinforcement learning for recommender systems: a comprehensive survey of methods, challenges, and future directions
- A multi-objective optimization approach for session-based recommendation systems
- A deep autoencoder-enhanced multi-objective evolutionary algorithm for recommender systems
- Multi-objective Optimization for Personalized and Fairness Recommender Systems: A Hybrid Approach
- A Review of Advances in Adaptive Personalized Recommender Systems
- Active learning-based multi-armed bandits for recommendation systems
- Leveraging DQN-Based Recommender Systems for E-Commerce in Smart Cities
- Enhancing Recommender Systems through Active Learning Strategies with Matrix Factorization
- Enhancing resilience in complex energy systems through real-time anomaly detection: a systematic literature review
- Data-driven system for intelligent monitoring and optimization of froth flotation circuits using Artificial Neural Networks and Genetic Algorithms
- Towards an efficient tourism recommendation system using multi-objective evolutionary optimization
- Context Embedding Deep Collaborative Filtering (CEDCF) in the higher education sector
- Enhancing E-commerce Recommender Systems through Multi-Objective Immune Algorithm
- Multi-objective Evolutionary Algorithms in Recommender Systems
- Advanced Spatio-Temporal Froth Analysis Using Smart Soft Sensors in Mineral Processing
- Enhancing Visitor Experiences using Deep Reinforcement Learning in Smart Cities
- Leveraging Deep Collaborative Filtering for Advanced Recommender Systems
- Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0
- Knowledge Transfer for Cross-Domain Book Recommender System
- Integrating Active Learning Strategies in Model Based Recommender Systems
- An improved self-training model to detect fake news categories using multi-class classification of unlabeled data: Fake news classification with unlabeled data
- Multi-objective optimization with recommender systems: A systematic review
- Hybrid features extraction for the online mineral grades determination in the flotation froth using Deep Learning
- Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach
- Newly Proposed Student Performance Indicators Based on Learning Analytics for Continuous Monitoring in Learning Management Systems
- Review on Recent Trends in Recommender Systems for Smart Cities
- Conv-LSTM for Real Time Monitoring of the Mineral Grades in the Flotation Froth
- A Comparative Study of Evolutionary Algorithms for Multi-Objective Recommender Systems
- Advancing Flotation Process Optimization Through Real-Time Machine Vision Monitoring: A Convolutional Neural Network Approach
- Fourier Transform and Machine Learning for Real-Time Monitoring of Froth Flotation in Mining Industry
- Artificial Neural Network with Learning Analytics for Student Performance Prediction in Online Learning Environment
- Digital Transformation of the Flotation Monitoring Towards an Online Analyzer
- Time-Aware User Profile Enrichment in the Collective Intelligence Context
- Dynamic Collaborative Learning Based on Recommender Systems and Emergent Collective Intelligence in Online Learning Communities
- Disruptive Innovation in Mining Industry 4.0
- Towards a folksonomy graph-based context-aware recommender system of annotated books
- Towards a Semantic Graph-based Recommender System. A Case Study of Cultural Heritage
- Semantic user profile enrichment in collective intelligence context: a Healthcare case study
- Graph‐based tag recommendations using clusters of patients in clinical decision support system
- The role of collaborative tagging and ontologies in emerging semantic of web resources
- Early Childhood Education: How Play Can Be Used to Meet Children’s Individual Needs
- Clustering and Social Recommendation Applied in Health Community of Practice
- The Role of Recommender System of Tags in Clinical Decision Support
- Semantic Graph-Based Recommender System. Application in Cultural Heritage
- Gamification and Serious Games Based Learning for Early Childhood in Rural Areas
- A Graph-Based Model for Tag Recommendations in Clinical Decision Support System
- Towards an Emergent Semantic of Web Resources Using Collaborative Tagging
- Serious Game to Enhance and Promote Youth Entrepreneurship
- Enrichment of ontology by exploiting collaborative tagging systems: A contextual semantic approach
مجلات النشر
- Communications in computer and information science × 6
- Lecture notes in networks and systems × 5
- Advances in intelligent systems and computing × 5
- Knowledge and Information Systems × 3
- International Conference on Networking, Information Systems & Security (NISS) × 3
- Statistics Optimization & Information Computing × 2
المنشورات حسب السنة
- 20266
- 202512
- 202413
- 202310
- 20223
- 20214
- 20201
- 20195
- 20182
- 20171
التعاون العلمي
المؤسسات الشريكة : Moroccan Foundation for Advanced Science, Innovation and Research · Université Mohammed VI Polytechnique · Mohammed V University · National School of Mineral Industry · Université Ibn Zohr
بلدان المؤلفين المشاركين : بنغلاديش
المؤلفون المشاركون
- El Hassan Abdelwahed
- Said Rakrak
- Meriem Hafidi
- Fatima Ezzahra Zaizi
- Oussama Hasidi
- Ahmed Bendaouia
- Oumkeltoum Amar
- Rachid Lamrani
- Sana Abakarim
- François Bourzeix
- Aimad Qazdar
- Bachir Asri
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
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