Wassila Ouerdane

Laboratoire Mathématiques et Informatique pour la Complexité et les Systèmes

wassila.ouerdane [at] centralesupelec.fr

Résumé :

  • Wassila Ouerdane is Full Professor in computer science at CentraleSupélec, Paris-Saclay University 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 2024. Before I was an Associate Professor (HDR) in Computer Science in the same Lab. 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, with aim of using formal tools from AI (argumentation theory) and Decision theory 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.

Mots clés :

  • Intelligence Artificielle, Aide à la Décision

En savoir plus sur Wassila Ouerdane

Publications :

  • Communication on a congress - 41 documents
    • Dao Thauvin, Stéphane Herbin, Wassila Ouerdane, Céline Hudelot. Interpretable image classification through an argumentative dialog between encoders, 2024-10-19. (https://hal.science/hal-04673794v2)
    • Nicolas Belloir, Wassila Ouerdane, Oscar Pastor. Caractérisation des fausses nouvelles Une approche basée sur la modélisation conceptuelle, 2023-05-30. (https://hal.science/hal-04453332v1)
    • Mathieu Lerouge, Céline Gicquel, Vincent Mousseau, Wassila Ouerdane. Génération d'explications de différentes natures pour les utilisateurs d'outils d'optimisation : application au problème de planification d'employés mobiles, 2023-02-20. (https://hal.science/hal-04389330v1)
    • Manuel Amoussou, Khaled Belahcene, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Explication de recommandations issues d’un modèle additif : de la conceptualisation à l’évaluation, 2023-02-20. (https://hal.science/hal-04108900v1)
    • Mathieu Lerouge, Céline Gicquel, Vincent Mousseau, Wassila Ouerdane. Counterfactual Explanations for Workforce Scheduling and Routing Problems, 2023-02-19. (https://hal.science/hal-04016553v1)
    • Nicolas Belloir, Wassila Ouerdane, Oscar Pastor. Characterizing Fake News: A Conceptual Modeling-based Approach, 2022-10-17. (https://hal.science/hal-03697974v1)
    • Manuel Amoussou, Khaled Belahcene, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Des explications par étapes pour le modèle additif, 2022-06-30. (https://hal.science/hal-03825214v1)
    • Nicolas Belloir, Wassila Ouerdane, Oscar Pastor, Émilien Frugier, Louis-Antoine de Barmon. A Conceptual Characterization of Fake News: A Positioning Paper, 2022-05-17. (https://hal.science/hal-03679073v1)
    • Mathieu Lerouge, Céline Gicquel, Vincent Mousseau, Wassila Ouerdane. Conception de méthodes d'explication des solutions émanant de systèmes d'optimisation, application à la planification d'employés mobiles, 2022-02-23. (https://hal.science/hal-03595266v1)
    • Jean-Philippe Poli, Wassila Ouerdane, Regis Pierrard. Génération d'explications textuelles en XAI : le cas de l'annotation sémantique, 2021-10-21. (https://cea.hal.science/cea-03406887v1)
    • Ismaïl Baaj, Jean-Philippe Poli, Wassila Ouerdane, Nicolas Maudet. Inférence min-max pour un système à base de règles possibilistes, 2021-10-21. (https://cea.hal.science/cea-03402616v1)
    • Ismaïl Baaj, Jean-Philippe Poli, Wassila Ouerdane, Nicolas Maudet. Representation of Explanations of Possibilistic Inference Decisions, 2021-09-21. (https://cea.hal.science/cea-03406884v1)
    • Ismaïl Baaj, Jean-Philippe Poli, Wassila Ouerdane, Nicolas Maudet. Min-max inference for Possibilistic Rule-Based System, 2021-07-11. (https://hal.science/hal-03408909v1)
    • Jean-Philippe Poli, Wassila Ouerdane, Regis Pierrard. Generation of Textual Explanations in XAI: the Case of Semantic Annotation, 2021-07-11. (https://hal.science/hal-03408917v1)
    • Pegdwendé Minoungou, Vincent Mousseau, Wassila Ouerdane, Paolo Scotton. Learning an MR-sort model from data with latent criteria preference direction, 2020-11-05. (https://hal.science/hal-03102714v1)
    • Manuel Amoussou, Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Explaining Robust Additive Decision Models: Generation of Mixed Preference-Swaps by Using MILP, 2020-11-05. (https://hal.science/hal-03230519v1)
    • Ismaïl Baaj, Jean-Philippe Poli, Wassila Ouerdane. Some insights Towards a Unified Semantic Representation of Explanation for eXplainable Artificial Intelligence (XAI), 2019-10-29. (https://hal.science/hal-03102722v1)
    • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Comparing options with argument schemes powered by cancellation, 2019-08-10. (https://hal.science/hal-02133034v1)
    • Khaled Belahcene, Vincent Mousseau, Wassila Ouerdane, Marc Pirlot, Olivier Sobrie. Ranking with Multiple Points: Efficient Elicitation and Learning Procedures, 2018-11-22. (https://hal.science/hal-01956130v1)
    • Khaled Belahcene, Oumeima Khaled, Vincent Mousseau, Wassila Ouerdane, Ali Tlili. A new efficient SAT formulation for learning NCS models: numerical results., 2018-11-22. (https://hal.science/hal-01956128v1)
    • Khaled Belahcene, Yann Chevaleyre, Nicolas Maudet, Christophe Labreuche, Vincent Mousseau, Wassila Ouerdane. Accountable Approval Sorting, 2018-07-13. (https://hal.science/hal-01785011v1)
    • Mathieu Dernis, Wassila Ouerdane, Ludovic-Alexandre Vidal, Pascal da Costa, Franck Marle. Assessment of Ssustainable strategies based on DMM approach and value creation, 2017-09-11. (https://hal.science/hal-01589594v1)
    • M. Mammeri, Franck Marle, Wassila Ouerdane. An assistance to identification and estimation of contractual strategy alternatives in oil and gas upstream development projects, 2017-09-11. (https://hal.science/hal-01589585v1)
    • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. A Model for Accountable Ordinal Sorting, 2017-08-19. (https://hal.science/hal-01523779v1)
    • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Une formulation SAT pour l’apprentissage de modèles de classement multicritères non-compensatoires, 2017-07-03. (https://hal.science/hal-01577816v1)
    • Karim El Mernissi, Pierre Feillet, Nicolas Maudet, Wassila Ouerdane. Introducing Causality in Business Rule-Based Decisions, 2017-06-27. (https://hal.science/hal-01615522v1)
    • Mathieu Dernis, Ludovic-Alexandre Vidal, Franck Marle, Wassila Ouerdane, Pascal da Costa. Aide à la sélection de stratégies pour apporter des valeurs durables à des pays hôtes en contexte pétrolier, 2017-05-03. (https://hal.science/hal-01559093v1)
    • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Accountable classifications without frontiers., 2016-11-07. (https://hal.science/hal-01956134v1)
    • Manel Mammar, Vincent Mousseau, Wassila Ouerdane, Alexandre Aubry. Internet Prospect's flow forecasting for a multi-period optimization model of offer/Demand assignment problem., 2015-10-28. (https://hal.science/hal-01205141v1)
    • Christophe Labreuche, Nicolas Maudet, Wassila Ouerdane, Simon Parsons. A dialogue game for recommendation with adaptive preference models, 2015-05. (https://hal.science/hal-01478761v1)
    • Liu Jinyan, Wassila Ouerdane, Vincent Mousseau. A Methaheuristic approach for preference Learning in multi criteria ranking based on reference points., 2014-11-20. (https://hal.science/hal-01202159v1)
    • Wassila Ouerdane, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau. Justified decisions are better than simple ones: explaining preferences using even swap sequences., 2013-07. (https://hal.science/hal-01282048v1)
    • Manel Mammar, Wassila Ouerdane, Vincent Mousseau. Multicriteria Modeling and Optimization of a market place of leads, 2013-06-17. (https://hal.science/hal-01207483v1)
    • Liu Jinyan, Vincent Mousseau, Wassila Ouerdane. Preference Elicitation from Inconsistent Pairwise Comparisons for Multi-criteria Ranking with Multiple Reference Points., 2013-03-25. (https://hal.science/hal-01202160v1)
    • Christophe Labreuche, Nicolas Maudet, Wassila Ouerdane. Justifying Dominating Options when Preferential Information is Incomplete., 2012-08-27. (https://hal.science/hal-01202162v1)
    • Wassila Ouerdane, Nicolas Maudet, Alexis Tsoukias. Minimal and Complete Explanations for Critical Multi-attribute Decisions, 2011-10-26. (https://hal.science/hal-01212436v1)
    • Myriam Merad, Wassila Ouerdane, Nicolas Dechy. Expertise and decision-aiding in safety and environment domains : what are the risks ?, 2011-09-18. (https://ineris.hal.science/ineris-00970929v1)
    • Wassila Ouerdane, Nicolas Maudet, Alexis Tsoukias. Dealing with the dynamics of proof-standard in argumentation-based decision aiding., 2010-08-16. (https://hal.science/hal-01212440v1)
    • Wassila Ouerdane, Nicolas Maudet, Alexis Tsoukias. Dealing with the dynamics of proof-standards in argumentation based decision aiding, 2010. (https://hal.science/hal-03102741v1)
    • Wassila Ouerdane, Nicolas Maudet, Alexis Tsoukiàs. Argument Schemes and Critical Questions for Decision Aiding Process, 2008-05. (https://hal.science/hal-01489285v1)
    • Wassila Ouerdane, Nicolas Maudet, Alexis Tsoukias. Arguing over actions that involve multiple criteria: A critical review, 2007-10-31. (https://hal.science/hal-01212348v1)
  • SOFTWARE - 1 document
  • Article in a review - 15 documents
    • Géraud Faye, Wassila Ouerdane, Guillaume Gadek, Souhir Gahbiche, Sylvain Gatepaille. A novel hybrid approach for text encoding: Cognitive Attention To Syntax model to detect online misinformation, 2023-09. (https://hal.science/hal-04222431v1)
    • Manuel Amoussou, Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Questionable Stepwise Explanations for a Robust Additive Preference Model, 2023-07-20. (https://hal.science/hal-04168685v1)
    • Khaled Belahcene, Vincent Mousseau, Wassila Ouerdane, Marc Pirlot, Olivier Sobrie. Multiple criteria sorting models and methods—Part I: survey of the literature, 2023-01-09. (https://hal.science/hal-03932949v1)
    • Khaled Belahcene, Vincent Mousseau, Wassila Ouerdane, Marc Pirlot, Olivier Sobrie. Multiple criteria sorting models and methods. Part II: theoretical results and general issues, 2023-01-09. (https://hal.science/hal-03932958v1)
    • Khaled Belahcene, Vincent Mousseau, Wassila Ouerdane, Marc Pirlot, Olivier Sobrie. Ranking with Multiple Reference Points: Efficient SAT-based learning procedures, 2022-11. (https://hal.science/hal-03838934v1)
    • Pegdwendé Minoungou, Vincent Mousseau, Wassila Ouerdane, Paolo Scotton. A MIP-based approach to learn MR-Sort models with single-peaked preferences, 2022-09-19. (https://hal.science/hal-03812773v1)
    • Ali Tlili, Oumaima Khaled, Vincent Mousseau, Wassila Ouerdane. Interactive portfolio selection involving multicriteria sorting models, 2022-07-29. (https://hal.science/hal-03740205v1)
    • Ali Tlili, Khaled Belahcene, Oumaima Khaled, Vincent Mousseau, Wassila Ouerdane. Learning Non-Compensatory Sorting models using efficient SAT/MaxSAT formulations, 2021-08. (https://hal.science/hal-03347526v1)
    • Alexandru-Liviu Olteanu, Khaled Belahcene, Vincent Mousseau, Wassila Ouerdane, Antoine Rolland, Jun Zheng. Preference elicitation for a ranking method based on multiple reference profiles, 2021-01-02. (https://hal.science/hal-03094046v1)
    • Anthony Hunter, Nicolas Maudet, Francesca Toni, Wassila Ouerdane. Foreword to the Special Issue on supporting and explaining decision processes by means of argumentation, 2018-08-03. (https://hal.science/hal-01863632v1)
    • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. An efficient SAT formulation for learning multiple criteria non-compensatory sorting rules from examples, 2018. (https://hal.science/hal-01784941v1)
    • Valentina Ferretti, Liu Jinyan, Vincent Mousseau, Wassila Ouerdane. Reference-based ranking procedure for environmental decision making: Insights from an ex-post analysis, 2018. (https://hal.science/hal-01632254v1)
    • Khaled Belahcene, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Explaining robust additive utility models by sequences of preference swaps, 2017. (https://hal.science/hal-01476524v1)
    • Wassila Ouerdane, Yannis Dimopoulos, Konstantinos Liapis, Pavlos Moraitis. Towards automating Decision Aiding through Argumentation, 2011. (https://hal.science/hal-01205142v1)
    • Wassila Ouerdane. Multiple Criteria Decision Aiding: a Dialectical Perspective., 2011. (https://hal.science/hal-01202232v1)
  • HDR - 1 document
  • Pre-submission / Working document - 3 documents
    • Mathieu Lerouge, Céline Gicquel, Vincent Mousseau, Wassila Ouerdane. Generating user-centered contrastive explanations for the Workforce Scheduling and Routing Problem, 2022-10-04. (https://hal.science/hal-03795653v1)
    • Manuel Amoussou, Khaled Belahcene, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane. Step-wise Explanations for the Additive Model, 2021. (https://hal.science/hal-03964933v1)
    • Alexandru Liviu Olteanu, Khaled Belahcene, Vincent Mousseau, Wassila Ouerdane, Antoine Rolland, Jun Zheng. Preference elicitation for a ranking method based on multiple reference profiles, 2019-02-04. (https://hal.science/hal-01862334v2)
  • Work chapter - 1 document
  • Dissertation - 1 document