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El Moukhtar Zemmouri
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2020 – today
- 2024
- [j10]Younes Elgargouh, Mohammed Reda Chbihi Louhdi, El Moukhtar Zemmouri, Hicham Behja:
Knowledge Management for Improved Digital Transformation in Insurance Companies: Systematic Review and Perspectives. Informatics 11(3): 60 (2024) - [j9]Zakariae Drabech, Mohammed Douimi, Elmoukhtar Zemmouri:
A Markov random field model for change points detection. J. Comput. Sci. 83: 102429 (2024) - 2023
- [j8]Youssef Taki, Elmoukhtar Zemmouri, Anas Bouzid:
STM-GCN: a spatiotemporal multi-graph convolutional network for pedestrian trajectory prediction. J. Supercomput. 79(18): 20923-20937 (2023) - [c19]Abdelhak Khadraoui, Elmoukhtar Zemmouri, Youssef Taki:
A Lightweight Model for Driver Distraction Classification. ICAAI 2023: 122-127 - [c18]Yahya Bougteb, Bouchra Frikh, Brahim Ouhbi, El Moukhtar Zemmouri:
Attention-Based Recurrent Neural Network for Multicriteria Recommendations. IntelliSys (2) 2023: 264-274 - 2022
- [j7]Yahya Bougteb, Brahim Ouhbi, Bouchra Frikh, Elmoukhtar Zemmouri:
A Deep Autoencoder-Based Hybrid Recommender System. Int. J. Mob. Comput. Multim. Commun. 13(1): 1-19 (2022) - [c17]Imane Zahri, Souhail Sekkat, Ibtissam El Hassani, El Moukhtar Zemmouri, Mohammed Douimi:
Using Ontology and Semantic Web Tools to Improve New Product Development Process. Towards State of Arts. AISI 2022: 692-706 - [c16]Khaoula Echabbi, Elmoukhtar Zemmouri, Mohammed Douimi, Salsabil Hamdi:
A General Preprocessing Pipeline for Deep Learning on Radiology Images: A COVID-19 Case Study. EPIA 2022: 232-241 - 2021
- [c15]Khaoula Echabbi, El Moukhtar Zemmouri, Mohammed Douimi, Salsabil Hamdi:
Feature Pyramid Network for COVID-19 Pneumonia Detection from Chest X-rays Images. AICV 2021: 24-32 - [c14]Yahya Bougteb, Brahim Ouhbi, Bouchra Frikh, El Moukhtar Zemmouri:
A Deep Autoencoder Based Multi-Criteria Recommender System. AICV 2021: 56-65 - [c13]Siham Eddamiri, El Moukhtar Zemmouri, Asmaa Benghabrit:
Theme Identification for RDF Graphs Based on LSTM Neural Reccurent Network. AICV 2021: 711-720 - [c12]Younes Elgargouh, Lamiae Demraoui, Reda Chbihi, Hicham Behja, El Moukhtar Zemmouri:
Motor Claims Processing: Digital Solutions Review and Assessment. CIST 2021: 42-47 - [c11]Sara Sbai, Oussama Chabih, Mohammed Reda Chbihi Louhdi, Hicham Behja, El Moukhtar Zemmouri, Brigitte Trousse:
Using decision trees to learn ontology taxonomies from relational databases. CIST 2021: 54-58 - [c10]Oussama Chabih, Sara Sbai, Hicham Behja, Mohammed Reda Chbihi Louhdi, El Moukhtar Zemmouri, Brigitte Trousse:
New approach to determine the optimal number of clusters K in unsupervised classification. CIST 2021: 348-352 - 2020
- [j6]Siham Eddamiri, Asmaa Benghabrit, El Moukhtar Zemmouri:
RDF graph mining for cluster-based theme identification. Int. J. Web Inf. Syst. 16(2): 223-247 (2020)
2010 – 2019
- 2019
- [j5]Asmaa Benghabrit, Brahim Ouhbi, Bouchra Frikh, El Moukhtar Zemmouri, Hicham Behja:
Feature selection methods for document clustering: a comparative study and a hybrid solution. Int. J. Data Anal. Tech. Strateg. 11(3): 246-272 (2019) - [j4]Sara Sbai, Mohammed Reda Chbihi Louhdi, Hicham Behja, El Moukhtar Zemmouri, Chakhmoune Rabab:
Using Reverse Engineering for Building Ontologies with Deeper Taxonomies from Relational Databases. J. Softw. 14(3): 138-145 (2019) - 2018
- [c9]Brahim Ouhbi, Bouchra Frikh, El Moukhtar Zemmouri, Abdellwahed Abbad:
Deep Learning Based Recommender Systems. CIST 2018: 161-166 - [c8]Siham Eddamiri, El Moukhtar Zemmouri, Asmaa Benghabrit:
RDF Data Clustering based on Resource and Predicate Embeddings. KDIR 2018: 365-371 - [c7]Siham Eddamiri, El Moukhtar Zemmouri, Asmaa Benghabrit:
Graph Embeddings for Linked Data Clustering. iiWAS 2018: 122-128 - 2016
- [j3]Lamiae Demraoui, Hicham Behja, El Moukhtar Zemmouri, Rachid Ben Abbou:
A viewpoint based extension of the common warehouse metamodel to support the user's viewpoint approach. Int. J. Metadata Semant. Ontologies 11(3): 137-154 (2016) - [c6]Abla Chaouni Benabdellah, Asmaa Benghabrit, Imane Bouhaddou, El Moukhtar Zemmouri:
Big data for supply chain management: Opportunities and challenges. AICCSA 2016: 1-6 - [c5]Asmae Abadi, Hussain Ben-Azza, Souhail Sekkat, El Moukhtar Zemmouri:
A reference ontology to support the simultaneous design of a product and its optimized supply chain. GOL 2016: 1-7 - [c4]Brahim Ouhbi, Mostafa Kamoune, Bouchra Frikh, El Moukhtar Zemmouri, Hicham Behja:
A hybrid feature selection rule measure and its application to systematic review. iiWAS 2016: 106-114 - 2014
- [j2]El Moukhtar Zemmouri, Hicham Behja, Brahim Ouhbi, Brigitte Trousse, Abdelaziz Marzak, Youssef Benghabrit:
Goal Driven Approach to Model Interaction between Viewpoints of a Multi-view KDD Process. J. Mobile Multimedia 9(3&4): 214-229 (2014) - [c3]Asmaa Benghabrit, Brahim Ouhbi, El Moukhtar Zemmouri, Bouchra Frikh, Hicham Behja:
Exploiting statistical and semantic information for document clustering: An evaluation on feature selection. CIST 2014: 96-101 - [c2]Lamiae Demraoui, Hicham Behja, El Moukhtar Zemmouri, Rachid Ben Abbou:
Towards integration of the users' preferences into the common warehouse metamodel. CIST 2014: 151-154 - 2013
- [b1]El Moukhtar Zemmouri:
Représentation et gestion des connaissances dans un processus d'Extraction de Connaissances à partir de Données multi-points de vue. (Knowledge Management in Multi-view KDD Process). Ecole Nationale Supérieure d'Arts et Métiers, Meknès, Morocco, 2013 - [c1]Asmaa Benghabrit, Bouchra Frikh, Brahim Ouhbi, El Moukhtar Zemmouri, Hicham Behja:
Text Document Clustering with Hybrid Feature Selection. iiWAS 2013: 600 - 2012
- [j1]El Moukhtar Zemmouri, Hicham Behja, Abdelaziz Marzak, Brigitte Trousse:
Ontology-Based Knowledge Model for Multi-View KDD Process. Int. J. Mob. Comput. Multim. Commun. 4(3): 21-33 (2012)
Coauthor Index
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