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Khalil Laghmari
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2010 – 2019
- 2018
- [b1]Khalil Laghmari:
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. (Graded multi-label classification: discovery of label relations, and adaptation to odor recognition and the big data context of recommendation systems). Sorbonne University, Paris, France, 2018 - [j1]Khalil Laghmari, Christophe Marsala
, Mohammed Ramdani:
An adapted incremental graded multi-label classification model for recommendation systems. Prog. Artif. Intell. 7(1): 15-29 (2018) - [c5]Khalil Laghmari, Christophe Marsala, Mohammed Ramdani:
Apprendre les relations de préférence et de co-occurrence entre les labels en classification multi-labels. EGC 2018: 215-226 - 2017
- [c4]Khalil Laghmari, Christophe Marsala, Mohammed Ramdani:
Classification multi-labels graduée: Apprendre les relations entre les labels ou limiter la propagation d'erreur ? EGC 2017: 381-386 - [c3]Khalil Laghmari, Christophe Marsala
A Distributed Recommender System Based on Graded Multi-label Classification. NETYS 2017: 101-108 - 2016
- [c2]Khalil Laghmari, Christophe Marsala, Mohammed Ramdani:
Graded multi-label classification: Compromise between handling label relations and limiting error propagation. SITA 2016: 1-6 - 2015
- [c1]Khalil Laghmari, Mohammed Ramdani, Christophe Marsala:
A distributed graph based approach for rough classifications considering dominance relations between overlapping classes. SITA 2015: 1-6
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