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AIT LAHCEN Ayoub

Email : ayoub.aitlahcen@uit.ac.ma

Institution : National School of Applied Sciences

Laboratory :

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