| An adapted incremental graded multi-label classification model for recommendation systems K Laghmari, C Marsala, M Ramdani Progress in Artificial Intelligence, 1-15, 2017 | 22 | 2017 |
| Graded multi-label classification: Compromise between handling label relations and limiting error propagation K Laghmari, C Marsala, M Ramdani 2016 11th International Conference on Intelligent Systems: Theories and …, 2016 | 9 | 2016 |
| A Distributed Recommender System Based on Graded Multi-label Classification K Laghmari, C Marsala, M Ramdani Networked Systems: 5th International Conference, NETYS 2017, Marrakech …, 2017 | 4 | 2017 |
| Classification multi-labels graduée: Apprendre les relations entre les labels ou limiter la propagation d'erreur ? K laghmari, C Marsala, M Ramdani Revue des Nouvelles Technologies de l'Information, 381-386, 2017 | 3 | 2017 |
| A distributed graph based approach for rough classifications considering dominance relations between overlapping classes K Laghmari, M Ramdani, C Marsala 2015 10th International Conference on Intelligent Systems: Theories and …, 2015 | 3 | 2015 |
| Learning Label Dependency and Label Preference Relations in Graded Multi-label Classification K Laghmari, C Marsala, M Ramdani Computational Intelligence for Pattern Recognition, 115-164, 2018 | 2 | 2018 |
| Classification multi-labels graduée: découverte des relations entre les labels, et adaptation à la reconnaissance des odeurs et au contexte big data des systèmes de recommandation K Laghmari Sorbonne Université; Université Hassan II (Mohammedia, Maroc). Faculté des …, 2018 | 1 | 2018 |
| Graded multi-label classification: discovery of label relations, and adaptation to odor recognition and the big data context of recommendation systems K Laghmari < bound method Organization. get_name_with_acronym of< Organization: TEL …, 2018 | | 2018 |
| Sorbonne Université K Laghmari Université Hassan II, 2018 | | 2018 |
