| A new feature selection method for nominal classifier based on formal concept analysis M Trabelsi, N Meddouri, M Maddouri Procedia Computer Science 112, 186-194, 2017 | 44 | 2017 |
| Classification methods based on formal concept analysis N Meddouri, M Meddouri Concept Lattices and Their Applications,(CLA'08), Palacky University, Olomouc, 2008 | 18 | 2008 |
| Parallel learning and classification for rules based on formal concepts N Meddouri, H Khoufi, M Maddouri Procedia Computer Science 35, 358-367, 2014 | 17 | 2014 |
| Boosting formal concepts to discover classification rules N Meddouri, M Maddouri Next-Generation Applied Intelligence: 22nd International Conference on …, 2009 | 17 | 2009 |
| Adaptive learning of nominal concepts for supervised classification N Meddouri, M Maddouri Knowledge-Based and Intelligent Information and Engineering Systems: 14th …, 2010 | 11 | 2010 |
| Diversity analysis on boosting nominal concepts N Meddouri, H Khoufi, MS Maddouri Pacific-Asia Conference on Knowledge Discovery and Data Mining, 306-317, 2012 | 9 | 2012 |
| New Taxonomy of Classification Methods Based on Formal Concepts Analysis M Trabelsi, N Meddouri, M Maddouri 5th International Workshop "What can FCA do for Artificial Intelligence"? co …, 2016 | 8 | 2016 |
| Survey on formal concept analysis based supervised classification techniques M Learning, AJ Tallón-Ballesteros, C Chen Machine Learning and Artificial Intelligence: Proceedings of MLIS 2020 332, 21, 2020 | 3 | 2020 |
| DFC: A Performant Dagging Approach of Classification Based on Formal Concept N Meddouri, H Khoufi, M Maddouri International Journal of Artificial Intelligence and Machine Learning …, 2021 | 2 | 2021 |
| Cloud Implementation of Classifier Nominal Concepts using DistributedWekaSpark R Fray, N Meddouri, M Maddouri CEUR Workshop Proceedings 2378, 125-136, 2019 | 2 | 2019 |
| Générer des règles de classification par dopage de concepts formels. N Meddouri, M Maddouri EGC, 181-186, 2009 | 2 | 2009 |
| Vers un critère d'arrêt de Boosting basé sur la diversité des classifieurs. N Meddouri, H Khoufi, M Maddouri INFORSID, 111-126, 2011 | 1 | 2011 |
| Développement de méthodes de classification basées sur l'analyse de concepts formels sous la plateforme WEKA. B Khalfi, R Cherif, N Meddouri, M Maddouri EGC, 621-622, 2010 | 1 | 2010 |
| Apprentissage de comportements à partir de données temporelles hétérogènes N Meddouri, F Rioult, B Crémilleux Conférence francophone sur l'Extraction et la Gestion des Connaissances, 77-79, 2022 | | 2022 |
| Efficient Closure Operators for FCA-Based Classification N Meddouri, M Maddouri International Journal of Artificial Intelligence and Machine Learning …, 2020 | | 2020 |
| Catégorisation des méthodes de classification fondées sur l'Analyse de Concepts Formels H Azibi, N Meddouri, M Maddouri 31es Journées francophones d'Ingénierie des Connaissances collection, 2020 | | 2020 |
| Étude de l'apprentissage des règles par Boosting de concepts formels: Learning by Boosting Formal Concepts N Meddouri Éditions universitaires européennes, 2018 | | 2018 |
| Nouvelle taxonomie des méthodes de classification basée sur l’Analyse de Concepts Formels M Trabelsi, N Meddouri, M Mondher 13th Africain Conference on Research in Computer Science and Applied …, 2016 | | 2016 |
| Apprentissage d'Ensemble de Règles par Analyse de Conceprs Formels N Meddouri Éditions Universitaires Européennes, 2016 | | 2016 |
| Apprentissage d'Ensembles de Règles de Classification par Analyse de Concepts Formels N Meddouri Faculté des Sciences Mathématiques, Physiques et Naturelles de Tunis, Tunisie, 2015 | | 2015 |
Mondher MaddouriUniversity of Sfax (Tunisia), University of Jeddah (KSA)Adresse e-mail validée de uj.edu.sa
