AIT LAHCEN Ayoub
Email : ayoub.aitlahcen@uit.ac.ma
Établissement : Ecole Nationale des Sciences Appliquées
Laboratoire :
📚 Publications Scopus — Total : 45
| Titre | Année | 🔗 Voir |
|---|---|---|
| Leveraging graph neural network for learner performance prediction | 2025 | 🔗 Voir |
| Internet addiction among youth across 26 countries: psychological, personality, and socioeconomic determinants | 2025 | 🔗 Voir |
| XGBoost To Enhance Learner Performance Prediction | 2024 | 🔗 Voir |
| A Systematic Review on Assessment in Adaptive Learning: Theories, Algorithms and Techniques | 2024 | 🔗 Voir |
| An Evaluation of Open Source Adaptive Learning Solutions | 2023 | 🔗 Voir |
| A Comparative Study of Adaptative Learning Algorithms for Students’ Performance Prediction: Application in a Moroccan University Computer Science Course | 2023 | 🔗 Voir |
| Big data analytics in telecommunications: Governance, architecture and use cases | 2022 | 🔗 Voir |
| Forwarding strategies in vehicular named data networks: A survey | 2022 | 🔗 Voir |
| Adaptive Learning Algorithms and Platforms: A Concise Overview | 2022 | 🔗 Voir |
| A novel deep learning-based recommender system for Arabic content | 2022 | 🔗 Voir |
| Evaluation of recent advances in recommender systems on Arabic content | 2021 | 🔗 Voir |
| Improving outliers detection in data streams using LiCS and voting | 2021 | 🔗 Voir |
| A Review on Content Based Recommender Systems in Tourism | 2021 | 🔗 Voir |
| Evaluating Recommender Systems when Applied to Arabic Content | 2020 | 🔗 Voir |
| ASA: A framework for Arabic sentiment analysis | 2020 | 🔗 Voir |
| Recommender systems based on collaborative filtering using review texts-A survey | 2020 | 🔗 Voir |
| Towards a real-time processing framework based on improved distributed recurrent neural network variants with fastText for social big data analytics | 2020 | 🔗 Voir |
| An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems | 2019 | 🔗 Voir |
| A distributed group recommendation system based on extreme gradient boosting and big data technologies | 2019 | 🔗 Voir |
| FRAIPA version 2: A fast recommendation approach based on self-adaptation and multi-thresholding | 2019 | 🔗 Voir |
| Collaborative Recommender Systems Based on User-Generated Reviews: A Concise Survey | 2019 | 🔗 Voir |
| MIPCNF: Multi-iterative partitioning class noise filter | 2019 | 🔗 Voir |
| Impact of text pre-processing and ensemble learning on Arabic sentiment analysis | 2019 | 🔗 Voir |
| Outlier detection techniques for big data streams: Focus on cyber security | 2019 | 🔗 Voir |
| A Distributed Ensemble of Deep Convolutional Neural Networks with Random Forest for Big Data Sentiment Analysis | 2019 | 🔗 Voir |
| Context Aware Recommender Systems for Tourism: A Concise Review | 2018 | 🔗 Voir |
| APRA: An approximate parallel recommendation algorithm for Big Data | 2018 | 🔗 Voir |
| Big Data technologies: A survey | 2018 | 🔗 Voir |
| Big Data Security: Challenges, Recommendations and Solutions | 2018 | 🔗 Voir |
| Improving sentiment analysis of moroccan tweets using ensemble learning | 2018 | 🔗 Voir |
| A concise survey on content recommendations | 2018 | 🔗 Voir |
| FRAIPA: A fast recommendation approach with improved prediction accuracy | 2017 | 🔗 Voir |
| Data-dependency formalism for developing peer-To-peer applications | 2017 | 🔗 Voir |
| A new recommendation algorithm for reducing dimensionality and improving accuracy | 2016 | 🔗 Voir |
| Detection and elimination of class noise in large datasets using partitioning filter technique | 2016 | 🔗 Voir |
| Big data security: Challenges, recommendations and solutions | 2015 | 🔗 Voir |
| An overview of big data opportunities, applications and tools | 2015 | 🔗 Voir |
| Using a residential environment domain ontology for discovering and integrating smart objects in complex scenarios | 2014 | 🔗 Voir |
| A framework and its associated process-oriented domain specific language for managing smart residential environments | 2013 | 🔗 Voir |
| A Lightweight middleware for developing P2P applications with component and service-based principles | 2012 | 🔗 Voir |
| Defining and analyzing P2P applications with a data-dependency formalism | 2012 | 🔗 Voir |
| Modelling the environment using graphs with behaviour: Do you speak Ocelet? | 2010 | 🔗 Voir |
| Ocelet: An ontology-based domain specific language to model complex domains | 2010 | 🔗 Voir |
| Design of a Domain Specific Language for modelling processes in landscapes | 2009 | 🔗 Voir |
| Developing a service-oriented component framework for a landscape modeling language | 2009 | 🔗 Voir |