Ayoub Ait Lahcen

31 papers C 2Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Leveraging graph neural network for learner performance prediction.
Expert Syst. Appl.
Soukaina Hakkal, Ayoub Ait Lahcen
2024 J jnl
XGBoost To Enhance Learner Performance Prediction.
Comput. Educ. Artif. Intell.
Soukaina Hakkal, Ayoub Ait Lahcen
2023 J jnl
An Evaluation of Open Source Adaptive Learning Solutions.
Inf.
Ahmed Oussous, Ismail Menyani, Mehdi Srifi, Ayoub Ait Lahcen, Smail Kheraz, Fatima-Zahra Benjelloun
2022 J jnl
A novel deep learning-based recommender system for Arabic content.
J. Intell. Fuzzy Syst.
Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline
2022 J jnl
Big data analytics in telecommunications: Governance, architecture and use cases.
J. King Saud Univ. Comput. Inf. Sci.
Mohamed Zouheir Kastouni, Ayoub Ait Lahcen
2022 J jnl
Forwarding strategies in vehicular named data networks: A survey.
J. King Saud Univ. Comput. Inf. Sci.
Kaoutar Ahed, Maria Benamar, Ayoub Ait Lahcen, Rajae El Ouazzani
2021 J jnl
Evaluation of recent advances in recommender systems on Arabic content.
J. Big Data
Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline
2021 J jnl
Improving outliers detection in data streams using LiCS and voting.
J. King Saud Univ. Comput. Inf. Sci.
Fatima-Zahra Benjelloun, Ahmed Oussous, Amine Bennani, Samir Belfkih, Ayoub Ait Lahcen
2020 J jnl
ASA: A framework for Arabic sentiment analysis.
J. Inf. Sci.
Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub Ait Lahcen, Samir Belfkih
2020 J jnl
Recommender Systems Based on Collaborative Filtering Using Review Texts - A Survey.
Inf.
Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline
2020 J jnl
Towards a real-time processing framework based on improved distributed recurrent neural network variants with fastText for social big data analytics.
Inf. Process. Manag.
Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline
2019 — conf
A Distributed Ensemble of Deep Convolutional Neural Networks with Random Forest for Big Data Sentiment Analysis.
MSPN
Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline
2019 J jnl
A distributed group recommendation system based on extreme gradient boosting and big data technologies.
Appl. Intell.
Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline
2019 J jnl
An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems.
Expert Syst. Appl.
Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline
2019 J jnl
FRAIPA version 2: A fast recommendation approach based on self-adaptation and multi-thresholding.
Expert Syst. Appl.
Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline
2019 — conf
Impact of Text Pre-processing and Ensemble Learning on Arabic Sentiment Analysis.
NISS
Ahmed Oussous, Ayoub Ait Lahcen, Samir Belfkih
2019 J jnl
MIPCNF: Multi-iterative partitioning class noise filter.
J. Intell. Fuzzy Syst.
Btissam Zerhari, Ayoub Ait Lahcen, Salma Mouline
2018 — conf
A Concise Survey on Content Recommendations.
BDCA
Mehdi Srifi, Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline
2018 J jnl
APRA: An approximate parallel recommendation algorithm for Big Data.
Knowl. Based Syst.
Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline
2018 J jnl
Big Data technologies: A survey.
J. King Saud Univ. Comput. Inf. Sci.
Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub Ait Lahcen, Samir Belfkih
2018 — conf
Context Aware Recommender Systems for Tourism: A Concise Review.
CIST
Asmae Bentaleb, Younes El Bouzekri, Ayoub Ait Lahcen, Mohammed Boulmalf
2018 — conf
Improving Sentiment Analysis of Moroccan Tweets Using Ensemble Learning.
BDCA
Ahmed Oussous, Ayoub Ait Lahcen, Samir Belfkih
2017 J jnl
Data-Dependency Formalism for Developing Peer-to-Peer Applications.
Comput. Informatics
Ayoub Ait Lahcen, Didier Parigot, Salma Mouline
2017 J jnl
FRAIPA: A fast recommendation approach with improved prediction accuracy.
Expert Syst. Appl.
Badr Ait Hammou, Ayoub Ait Lahcen
2017 J jnl
NoSQL databases for big data.
Int. J. Big Data Intell.
Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub Ait Lahcen, Samir Belfkih
2016 C conf
A new recommendation algorithm for reducing dimensionality and improving accuracy.
AICCSA
Badr Ait Hammou, Ayoub Ait Lahcen, Driss Aboutajdine
2016 — conf
Detection and elimination of class noise in large datasets using partitioning filter technique.
CIST
Btissam Zerhari, Ayoub Ait Lahcen, Salma Mouline
2014 — conf
Using a Residential Environment Domain Ontology for Discovering and Integrating Smart Objects in Complex Scenarios.
ANT/SEIT
Abdaladhem Albreshne, Ayoub Ait Lahcen, Jacques Pasquier
2012 — conf
A Lightweight Middleware for Developing P2P Applications with Component and Service-Based Principles.
CSE
Ayoub Ait Lahcen, Didier Parigot
2012 C conf
Defining and Analyzing P2P Applications with a Data-Dependency Formalism.
PDCAT
Ayoub Ait Lahcen, Didier Parigot, Salma Mouline
2012 — —
Developing Component-Based Applications with a Data-Centric Approach and within a Service-Oriented P2P Architecture: Specification, Analysis and Middleware. (Développement d'Applications à Base de Composants avec une Approche Centrée sur les Données et dans une Architecture Orientée Service et Pair-à-Pair : Spécification, Analyse et Intergiciel).
Ayoub Ait Lahcen