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Wassila Ouerdane
Wassila Ouerdane. Maître de conférences HDR en informatique à CentraleSupélec -- Université Paris-Saclay
57%
Libre accès
28
Documents
Identifiants chercheurs
- wassila-ouerdane
- 0000-0002-4515-7461
- IdRef : 149480954
Présentation
I am an Associate Professor (HDR) in Computer Science at [CentraleSupélec](http://www.centralesupelec.fr/wordpress/), Paris-Saclay University and a member of the [MICS](http://mics.centralesupelec.fr/) (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, with aim of using formal tools from AI 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:**
* Explainbale AI
* Knowledge representation and Reasoning
* Decision Aiding
* Preference elicitation and Learning
#### **Web site:** <https://wassilaouerdane.github.io>
I am an Associate Professor (HDR) in Computer Science at [CentraleSupélec](http://www.centralesupelec.fr/wordpress/), Paris-Saclay University and a member of the [MICS](http://mics.centralesupelec.fr/) (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, with aim of using formal tools from AI 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:**
* Explainbale AI
* Knowledge representation and Reasoning
* Decision Aiding
* Preference elicitation and Learning
#### **Web site:** <https://wassilaouerdane.github.io>
Domaines de recherche
Publications
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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⟩
Communication dans un congrès
hal-04016553v1
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Génération d'explications de différentes natures pour les utilisateurs d'outils d'optimisation: application au problème de planification d'employés mobilesROADEF 2023 - 24e congrès de la Société Française de Recherche Opérationnelle et Aide à la Décision, Feb 2023, Rennes, France
Communication dans un congrès
hal-04389330v1
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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
Communication dans un congrès
hal-04108900v1
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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
Communication dans un congrès
hal-03825214v1
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Conception de méthodes d'explication des solutions émanant de systèmes d'optimisation, application à la planification d'employés mobilesROADEF2022 - 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France
Communication dans un congrès
hal-03595266v1
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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
Communication dans un congrès
hal-03102714v1
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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⟩
Communication dans un congrès
hal-02133034v1
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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
Communication dans un congrès
hal-01956128v1
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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
Communication dans un congrès
hal-01785011v1
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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
Communication dans un congrès
hal-01956130v1
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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
Communication dans un congrès
hal-01577816v1
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A Model for Accountable Ordinal Sorting26th International Joint Conference on Artificial Intelligence (IJCAI-2017), Aug 2017, Melbourne, Australia
Communication dans un congrès
hal-01523779v1
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Accountable classifications without frontiers.The EURO mini conference from multiple criteria Decision Aiding to Preference Learning (DA2PL'16), Nov 2016, Paderborn, Germany
Communication dans un congrès
hal-01956134v1
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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
Communication dans un congrès
hal-01205141v1
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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
Communication dans un congrès
hal-01202159v1
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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
Communication dans un congrès
hal-01207483v1
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Generating user-centered contrastive explanations for the Workforce Scheduling and Routing Problem2022
Pré-publication, Document de travail
hal-03795653v1
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Step-wise Explanations for the Additive Model2021
Pré-publication, Document de travail
hal-03964933v1
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