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2020 – today
- 2023
[j18]Ahmed Oussous
, Ismail Menyani, Mehdi Srifi, Ayoub Ait Lahcen, Smail Kheraz, Fatima-Zahra Benjelloun:
An Evaluation of Open Source Adaptive Learning Solutions. Inf. 14(2): 57 (2023)- 2022
- [j17]Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline:
A novel deep learning-based recommender system for Arabic content. J. Intell. Fuzzy Syst. 43(1): 437-449 (2022) - [j16]Kaoutar Ahed, Maria Benamar, Ayoub Ait Lahcen, Rajae El Ouazzani:
Forwarding strategies in vehicular named data networks: A survey. J. King Saud Univ. Comput. Inf. Sci. 34(5): 1819-1835 (2022) - [j15]Mohamed Zouheir Kastouni, Ayoub Ait Lahcen:
Big data analytics in telecommunications: Governance, architecture and use cases. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part A): 2758-2770 (2022) - 2021
- [j14]Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline:
Evaluation of recent advances in recommender systems on Arabic content. J. Big Data 8(1): 1-19 (2021) - [j13]Fatima-Zahra Benjelloun, Ahmed Oussous, Amine Bennani, Samir Belfkih, Ayoub Ait Lahcen:
Improving outliers detection in data streams using LiCS and voting. J. King Saud Univ. Comput. Inf. Sci. 33(10): 1177-1185 (2021) - 2020
- [j12]Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline:
Recommender Systems Based on Collaborative Filtering Using Review Texts - A Survey. Inf. 11(6): 317 (2020) - [j11]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
Towards a real-time processing framework based on improved distributed recurrent neural network variants with fastText for social big data analytics. Inf. Process. Manag. 57(1) (2020) - [j10]Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub Ait Lahcen, Samir Belfkih:
ASA: A framework for Arabic sentiment analysis. J. Inf. Sci. 46(4) (2020)
2010 – 2019
- 2019
- [j9]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
A distributed group recommendation system based on extreme gradient boosting and big data technologies. Appl. Intell. 49(12): 4128-4149 (2019) - [j8]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
FRAIPA version 2: A fast recommendation approach based on self-adaptation and multi-thresholding. Expert Syst. Appl. 118: 209-216 (2019) - [j7]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems. Expert Syst. Appl. 137: 253-265 (2019) - [j6]Btissam Zerhari, Ayoub Ait Lahcen, Salma Mouline:
MIPCNF: Multi-iterative partitioning class noise filter. J. Intell. Fuzzy Syst. 37(5): 6761-6772 (2019) - [c10]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
A Distributed Ensemble of Deep Convolutional Neural Networks with Random Forest for Big Data Sentiment Analysis. MSPN 2019: 153-162 - [c9]Ahmed Oussous, Ayoub Ait Lahcen, Samir Belfkih:
Impact of Text Pre-processing and Ensemble Learning on Arabic Sentiment Analysis. NISS 2019: 65:1-65:9 - 2018
- [j5]Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub Ait Lahcen, Samir Belfkih:
Big Data technologies: A survey. J. King Saud Univ. Comput. Inf. Sci. 30(4): 431-448 (2018) - [j4]Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
APRA: An approximate parallel recommendation algorithm for Big Data. Knowl. Based Syst. 157: 10-19 (2018) - [c8]Ahmed Oussous, Ayoub Ait Lahcen, Samir Belfkih:
Improving Sentiment Analysis of Moroccan Tweets Using Ensemble Learning. BDCA 2018: 91-104 - [c7]Mehdi Srifi, Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
A Concise Survey on Content Recommendations. BDCA 2018: 393-405 - [c6]Asmae Bentaleb, Younes El Bouzekri, Ayoub Ait Lahcen, Mohammed Boulmalf:
Context Aware Recommender Systems for Tourism: A Concise Review. CIST 2018: 149-154 - 2017
- [j3]Ayoub Ait Lahcen, Didier Parigot, Salma Mouline:
Data-Dependency Formalism for Developing Peer-to-Peer Applications. Comput. Informatics 36(2): 353-385 (2017) - [j2]Badr Ait Hammou, Ayoub Ait Lahcen:
FRAIPA: A fast recommendation approach with improved prediction accuracy. Expert Syst. Appl. 87: 90-97 (2017) - [j1]Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub Ait Lahcen, Samir Belfkih:
NoSQL databases for big data. Int. J. Big Data Intell. 4(3): 171-185 (2017) - 2016
- [c5]Badr Ait Hammou, Ayoub Ait Lahcen, Driss Aboutajdine:
A new recommendation algorithm for reducing dimensionality and improving accuracy. AICCSA 2016: 1-6 - [c4]Btissam Zerhari, Ayoub Ait Lahcen, Salma Mouline:
Detection and elimination of class noise in large datasets using partitioning filter technique. CIST 2016: 194-199 - 2014
- [c3]Abdaladhem Albreshne, Ayoub Ait Lahcen, Jacques Pasquier:
Using a Residential Environment Domain Ontology for Discovering and Integrating Smart Objects in Complex Scenarios. ANT/SEIT 2014: 997-1002 - 2012
- [b1]Ayoub Ait Lahcen:
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). University of Nice Sophia Antipolis, France, 2012 - [c2]Ayoub Ait Lahcen, Didier Parigot:
A Lightweight Middleware for Developing P2P Applications with Component and Service-Based Principles. CSE 2012: 9-16 - [c1]Ayoub Ait Lahcen, Didier Parigot, Salma Mouline:
Defining and Analyzing P2P Applications with a Data-Dependency Formalism. PDCAT 2012: 317-322
Coauthor Index
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