Wassila Ouerdane
Présentation
I am 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. Research Interests:
Web site: https://wassilaouerdane.github.io
Publications
Publications
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NotMyNarrative at SemEval-2025 Task 10: Do Narrative Features Share Across Languages in Multilingual Encoder Models?Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), Jul 2025, Vienna (AUSTRIA), Austria. pp.58-66 |
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Possibilistic Logic and Inference for Linear Systems18th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2025), Sep 2025, Hagen, Germany. pp.362-375, ⟨10.1007/978-3-032-05134-9_25⟩ |
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Théorie des possibilités et modèles numériques linéaires pour l'inférence sur une base de croyances19èmes Journées d'Intelligence Artificielle Fondamentale et 20èmes Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes, JIAF-JFPDA, Jul 2025, Dijon, France. pp.48-57 |
A framework to extract and interpret biological concepts from scRNAseq generative foundation modelsICML 2025 Generative AI and Biology (GenBio) Workshop, Jul 2025, Vancouver (Canada), Canada |
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Conceptual Modeling of Disinformation CampaignsConceptual Modeling (ER), 2025, Poitiers, France. pp.358-375, ⟨10.1007/978-3-032-08623-5_19⟩ |
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Interpretable image classification through an argumentative dialog between encoders27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, Oct 2024, Saint-Jacques de Compostelle, Spain. pp.3316-3323, ⟨10.3233/FAIA240880⟩ |
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Counterfactual Explanations for Workforce Scheduling and Routing ProblemsICORES 2023 - 12th International Conference on Operations Research and Enterprise Systems, Feb 2023, Lisbon, Portugal. pp.50-61, ⟨10.5220/0011639900003396⟩ |
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Caractérisation des fausses nouvelles Une approche basée sur la modélisation conceptuelle41st INFORSID 2023, May 2023, La Rochelle, France. pp.103-104 |
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Explication de recommandations issues d’un modèle additif : de la conceptualisation à l’évaluation24e congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2023), ROADEF, Feb 2023, Rennes, France |
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Génération d'explications de différentes natures pour les utilisateurs d'outils d'optimisation : application au problème de planification d'employés mobiles24ème congrès de la Société Française de Recherche Opérationnelle et Aide à la Décision (ROADEF 2023), Feb 2023, Rennes, France |
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Des explications par étapes pour le modèle additif16èmes Journées d'Intelligence Artificielle Fondamentale (JIAF 2022), Jun 2022, Saint-Etienne, France. pp.35-48 |
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A Conceptual Characterization of Fake News: A Positioning Paper16th International Conference on Research Challenges in Information Science (RCIS'22), May 2022, Barcelone, Spain. ⟨10.1007/978-3-031-05760-1_41⟩ |
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Characterizing Fake News: A Conceptual Modeling-based ApproachER 2022 - 41st International Conference on Conceptual Modeling, Oct 2022, Hyderabad, India. ⟨10.1007/978-3-031-17995-2_9⟩ |
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Conception de méthodes d'explication des solutions émanant de systèmes d'optimisation, application à la planification d'employés mobiles23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF2022), INSA Lyon, Feb 2022, Villeurbanne - Lyon, France |
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Génération d'explications textuelles en XAI : le cas de l'annotation sémantiqueRencontres francophones sur la logique floue et ses applications, Université de la Sorbonne, Oct 2021, Paris, France. pp.179-186 |
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Representation of Explanations of Possibilistic Inference DecisionsECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty, Sep 2021, Prague, Czech Republic. pp.513-527, ⟨10.1007/978-3-030-86772-0_37⟩ |
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Min-max inference for Possibilistic Rule-Based System2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jul 2021, Luxembourg, Luxembourg. pp.9494506, ⟨10.1109/FUZZ45933.2021.9494506⟩ |
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Generation of Textual Explanations in XAI: the Case of Semantic Annotation2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jul 2021, Luxembourg, Luxembourg. pp.9494589, ⟨10.1109/FUZZ45933.2021.9494589⟩ |
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Inférence min-max pour un système à base de règles possibilistesRencontres francophones sur la logique floue et ses applications, Université de la Sorbonne, Oct 2021, Paris, France. pp.233-240 |
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Explaining Robust Additive Decision Models: Generation of Mixed Preference-Swaps by Using MILPFrom Multiple Criteria Decision Aid to Preference Learning (DA2PL 2020), Nov 2020, Trento (virtual), Italy |
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Learning an MR-sort model from data with latent criteria preference directionIn the 5th workshop from multiple criteria Decision Aid to Preference Learning, Nov 2020, Trento, Italy |
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Some insights Towards a Unified Semantic Representation of Explanation for eXplainable Artificial Intelligence (XAI)The 1st workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI), Oct 2019, Tokyo, Japan. pp.14-19, ⟨10.18653/v1/W19-8404⟩ |
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Comparing options with argument schemes powered by cancellation28th International Joint Conference on Artificial Intelligence (IJCAI-19), Aug 2019, Macao, Macau SAR China. pp.1537-1543, ⟨10.24963/ijcai.2019/213⟩ |
Ranking with Multiple Points: Efficient Elicitation and Learning ProceduresIn the 4th wokshop from multiple criteria Decision aid to Preference Learning (DA2PL'18), Nov 2018, Poznan, Poland |
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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 |
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Accountable Approval Sorting27th International Joint Conference on Artificial Intelligence and 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Jul 2018, Stockholm, Sweden |
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Aide à la sélection de stratégies pour apporter des valeurs durables à des pays hôtes en contexte pétrolierCongrès International de Génie Industriel CIGI, May 2017, Compiègne, France |
Introducing Causality in Business Rule-Based DecisionsIEA/AIE 2017 - 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. pp.433-439, ⟨10.1007/978-3-319-60042-0_47⟩ |
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Une formulation SAT pour l’apprentissage de modèles de classement multicritères non-compensatoires11e Journées d'Intelligence Artificielle Fondamentale, Jul 2017, Caen, France |
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An assistance to identification and estimation of contractual strategy alternatives in oil and gas upstream development projects19th Dependency and Structure Modelling Conference (DSM), Sep 2017, Helsinki, Finland |
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Assessment of Ssustainable strategies based on DMM approach and value creation19th Dependency and Structure Modelling Conference (DSM), Sep 2017, Helsinki, Finland |
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A Model for Accountable Ordinal Sorting26th International Joint Conference on Artificial Intelligence (IJCAI-2017), Aug 2017, Melbourne, Australia |
Accountable classifications without frontiers.The EURO mini conference from multiple criteria Decision Aiding to Preference Learning (DA2PL'16), Nov 2016, Paderborn, Germany |
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Internet Prospect's flow forecasting for a multi-period optimization model of offer/Demand assignment problem.International Conference on computers and Industrial Engineering (CIE45), Oct 2015, Metz, France |
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A dialogue game for recommendation with adaptive preference models14th International Conference on Autonomous Agents and Multiagent systems (AAMAS 2015), May 2015, Istanbul, Turkey. pp.959-967 |
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A Methaheuristic approach for preference Learning in multi criteria ranking based on reference points.In the 2nd wokshop from multiple criteria Decision aid to Preference Learning (DA2PL), Nov 2014, Chatenay Malabry, France |
Preference Elicitation from Inconsistent Pairwise Comparisons for Multi-criteria Ranking with Multiple Reference Points.In proceedings of the 14th International Conference on informatics and Semiotics in Organisations. Web of thingd, People and Information Systems. ICISO 2013, Mar 2013, Stockholm, Sweden |
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Justified decisions are better than simple ones: explaining preferences using even swap sequences.In 26th European Conference on Operational Research, Jul 2013, Rome, Italy |
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Multicriteria Modeling and Optimization of a market place of leadsIn 22nd International Conference on Multiple Criteria Decision Making, Jun 2013, Malaga, Spain |
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Expertise and decision-aiding in safety and environment domains : what are the risks ?ESREL Annual Conference 2011, Sep 2011, Troyes, France. pp.2317-2323 |
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Justifying Dominating Options when Preferential Information is Incomplete.20th European Conference on Artificial Intelligence (ECAI'12), Aug 2012, Montpellier, France. pp.486-491, ⟨10.3233/978-1-61499-098-7-486⟩ |
Minimal and Complete Explanations for Critical Multi-attribute DecisionsProceedings of the 2nd International Conference on Algorithmic Decision Theory (ADT'2011), Oct 2011, Piscataway New Jersey, United States. pp.121-134 |
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Dealing with the dynamics of proof-standards in argumentation based decision aidingProceedings of the 19th European Conference on Artificial Intelligence (ECAI'10), 2010, Lisbon, Portugal |
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Dealing with the dynamics of proof-standard in argumentation-based decision aiding.Proceedings of the Fifth European Starting AI Researcher Symposium (STAIRS'10). co-located with ECAI 2010, Aug 2010, Lisbon, Portugal. pp.225-237 |
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Argument Schemes and Critical Questions for Decision Aiding ProcessProceedings of the 2nd international conference on Computational Models of Argument (COMMA2008), May 2008, Toulouse, France |
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Arguing over actions that involve multiple criteria: A critical reviewIn Proc. of the 9th European Conf. on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2007,, Oct 2007, Hammamet, Tunisia. pp.308--319 |
Argumentation Theory and Decision AidingJ. Figueira, S. Greco, and M. Ehrgott. Trends in Multiple Criteria Decision Analysis, 142 (1), pp.177-208, 2010, International Series in Operations Research and Management Science |
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Multiple criteria decision aiding : a dialectical perspectiveArtificial Intelligence [cs.AI]. Université Paris Dauphine - Paris IX, 2009. English. ⟨NNT : ⟩ |
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DISCOVERING INTERPRETABLE BIOLOGICAL CONCEPTS IN SINGLE-CELL RNA-SEQ FOUNDATION MODELS2025 |
Generating user-centered contrastive explanations for the Workforce Scheduling and Routing Problem2022 |
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Step-wise Explanations for the Additive Model2021 |
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Preference elicitation for a ranking method based on multiple reference profiles2019 |
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From Preference Elicitation to Explaining Decisions: a Dialectical PerspectiveArtificial Intelligence [cs.AI]. Université Paris - Saclay, 2022 |