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Wassila Ouerdane. Lecturer at CentraleSupélec


I am an Assistant Professor (Lecturer, MCF) in Computer Science at  CentraleSupélec, and a member of the MICS (Mathématiques et Informatique pour la Complexité et les Systèmes) Lab, within the Research Group LOGIMICS (LOGIcal approaches for Modelling, data Interpretation and Complex Systems) since February 2019. Previously, I was in the Industrial Engineering Lab at CentraleSupélec (Spet. 2010- January 2019), within the Decision Aid team. I hold a PhD on Computer Science from University of Paris Dauphine in December 2009, on the subject "Multiple Criteria Decision Aiding: a dialectical Perspective". My research activities are across two fields: Artificial Intelligence and Decision Theory. I am interested in questions related to Knowledge Representation and Reasoning within the context of Explainable AI. I investigates several questions among them: using argumentation theory as a tool to both specify agent reasoning (resolving conflicts, explaining decisions, etc.) and facilitate agent interaction (dialogue protocol). I am also interested by applying decision aiding methodologies within real context. 

Research Interests: 

  • Multiple Criteria Deciison aiding 
  • Artificial Intelligence (knowledge representation and reasoning)

Web site: https://wassilaouerdane.github.io


Khaled Belahcene   

Journal articles3 documents

  • Alexandru Liviu Olteanu, Khaled Belahcene, Vincent Mousseau, Wassila Ouerdane, Antoine Rolland, et al.. Preference elicitation for a ranking method based on multiple reference profiles. 4OR: A Quarterly Journal of Operations Research, Springer Verlag, 2021, ⟨10.1007/s10288-020-00468-5⟩. ⟨hal-03094046⟩
  • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. An efficient SAT formulation for learning multiple criteria non-compensatory sorting rules from examples. Computers and Operations Research, Elsevier, 2018, 97, pp.58-71. ⟨10.1016/j.cor.2018.04.019⟩. ⟨hal-01784941⟩
  • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Explaining robust additive utility models by sequences of preference swaps. Theory and Decision, Springer Verlag, 2017, 82 (2), pp.151-183. ⟨10.1007/s11238-016-9560-1⟩. ⟨hal-01476524⟩

Conference papers7 documents

  • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Comparing options with argument schemes powered by cancellation. 28th International Joint Conference on Artificial Intelligence (IJCAI-19), Aug 2019, Macao, Macau SAR China. pp.1537-1543, ⟨10.24963/ijcai.2019/213⟩. ⟨hal-02133034⟩
  • Khaled Belahcene, Vincent Mousseau, Wassila Ouerdane, Marc Pirlot, Olivier Sobrie. Ranking with Multiple Points: Efficient Elicitation and Learning Procedures. In the 4th wokshop from multiple criteria Decision aid to Preference Learning (DA2PL'18), Nov 2018, Poznan, Poland. ⟨hal-01956130⟩
  • Khaled Belahcene, Oumeima Khaled, Vincent Mousseau, Wassila Ouerdane, Ali Tlili. A new efficient SAT formulation for learning NCS models: numerical results.. In the 4th workshop from multiple criteria Decision aid to Preference Learning (DA2PL'18), Nov 2018, Poznan, Poland. ⟨hal-01956128⟩
  • Khaled Belahcene, Yann Chevaleyre, Nicolas Maudet, Christophe Labreuche, Vincent Mousseau, et al.. Accountable Approval Sorting. 27th International Joint Conference on Artificial Intelligence and 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Jul 2018, Stockholm, Sweden. ⟨hal-01785011⟩
  • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Une formulation SAT pour l’apprentissage de modèles de classement multicritères non-compensatoires . 11e Journées d'Intelligence Artificielle Fondamentale, Jul 2017, Caen, France. ⟨hal-01577816⟩
  • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. A Model for Accountable Ordinal Sorting. 26th International Joint Conference on Artificial Intelligence (IJCAI-2017), Aug 2017, Melbourne, Australia. ⟨hal-01523779⟩
  • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Accountable classifications without frontiers.. The EURO mini conference from multiple criteria Decision Aiding to Preference Learning (DA2PL'16), Nov 2016, Paderborn, Germany. ⟨hal-01956134⟩