Ayoub Ait Lahcen

According to our database, Ayoub Ait Lahcen authored at least 29 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

An Evaluation of Open Source Adaptive Learning Solutions.

Ahmed Oussous, Ismail Menyani, Mehdi Srifi, Ayoub Ait Lahcen, Smail Kheraz, Fatima-Zahra Benjelloun

Inf., February, 2023

2022

Big data analytics in telecommunications: Governance, architecture and use cases.

Mohamed Zouheir Kastouni, Ayoub Ait Lahcen

J. King Saud Univ. Comput. Inf. Sci., 2022

Forwarding strategies in vehicular named data networks: A survey.

Kaoutar Ahed, Maria Benamar, Ayoub Ait Lahcen, Rajae El Ouazzani

J. King Saud Univ. Comput. Inf. Sci., 2022

A novel deep learning-based recommender system for Arabic content.

Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline

J. Intell. Fuzzy Syst., 2022

2021

Improving outliers detection in data streams using LiCS and voting.

Fatima-Zahra Benjelloun, Ahmed Oussous, Amine Bennani, Samir Belfkih, Ayoub Ait Lahcen

J. King Saud Univ. Comput. Inf. Sci., 2021

Evaluation of recent advances in recommender systems on Arabic content.

Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline

J. Big Data, 2021

2020

ASA: A framework for Arabic sentiment analysis.

Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub Ait Lahcen, Samir Belfkih

J. Inf. Sci., 2020

Towards a real-time processing framework based on improved distributed recurrent neural network variants with fastText for social big data analytics.

Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline

Inf. Process. Manag., 2020

Recommender Systems Based on Collaborative Filtering Using Review Texts - A Survey.

Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline

Inf., 2020

2019

MIPCNF: Multi-iterative partitioning class noise filter.

Btissam Zerhari, Ayoub Ait Lahcen, Salma Mouline

J. Intell. Fuzzy Syst., 2019

An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems.

Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline

Expert Syst. Appl., 2019

FRAIPA version 2: A fast recommendation approach based on self-adaptation and multi-thresholding.

Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline

Expert Syst. Appl., 2019

A distributed group recommendation system based on extreme gradient boosting and big data technologies.

Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline

Appl. Intell., 2019

Impact of Text Pre-processing and Ensemble Learning on Arabic Sentiment Analysis.

Ahmed Oussous, Ayoub Ait Lahcen, Samir Belfkih

Proceedings of the 2nd International Conference on Networking, 2019

A Distributed Ensemble of Deep Convolutional Neural Networks with Random Forest for Big Data Sentiment Analysis.

Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline

Proceedings of the Mobile, Secure, and Programmable Networking, 2019

2018

APRA: An approximate parallel recommendation algorithm for Big Data.

Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline

Knowl. Based Syst., 2018

Big Data technologies: A survey.

Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub Ait Lahcen, Samir Belfkih

J. King Saud Univ. Comput. Inf. Sci., 2018

Context Aware Recommender Systems for Tourism: A Concise Review.

Asmae Bentaleb, Younes El Bouzekri, Ayoub Ait Lahcen, Mohammed Boulmalf

Proceedings of the 5th IEEE International Congress on Information Science and Technology, 2018

A Concise Survey on Content Recommendations.

Mehdi Srifi, Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline

Proceedings of the Big Data, Cloud and Applications - Third International Conference, 2018

Improving Sentiment Analysis of Moroccan Tweets Using Ensemble Learning.

Ahmed Oussous, Ayoub Ait Lahcen, Samir Belfkih

Proceedings of the Big Data, Cloud and Applications - Third International Conference, 2018

2017

NoSQL databases for big data.

Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub Ait Lahcen, Samir Belfkih

Int. J. Big Data Intell., 2017

FRAIPA: A fast recommendation approach with improved prediction accuracy.

Badr Ait Hammou, Ayoub Ait Lahcen

Expert Syst. Appl., 2017

Data-Dependency Formalism for Developing Peer-to-Peer Applications.

Ayoub Ait Lahcen, Didier Parigot, Salma Mouline

Comput. Informatics, 2017

2016

Detection and elimination of class noise in large datasets using partitioning filter technique.

Btissam Zerhari, Ayoub Ait Lahcen, Salma Mouline

Proceedings of the 4th IEEE International Colloquium on Information Science and Technology, 2016

A new recommendation algorithm for reducing dimensionality and improving accuracy.

Badr Ait Hammou, Ayoub Ait Lahcen, Driss Aboutajdine

Proceedings of the 13th IEEE/ACS International Conference of Computer Systems and Applications, 2016

2014

Using a Residential Environment Domain Ontology for Discovering and Integrating Smart Objects in Complex Scenarios.

Abdaladhem Albreshne, Ayoub Ait Lahcen, Jacques Pasquier

Proceedings of the 5th International Conference on Ambient Systems, 2014

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

PhD thesis, 2012

Defining and Analyzing P2P Applications with a Data-Dependency Formalism.

Ayoub Ait Lahcen, Didier Parigot, Salma Mouline

Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012

A Lightweight Middleware for Developing P2P Applications with Component and Service-Based Principles.

Ayoub Ait Lahcen, Didier Parigot

Proceedings of the 15th IEEE International Conference on Computational Science and Engineering, 2012