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Wassila Ouerdane

Wassila Ouerdane. Maître de conférences HDR en informatique à CentraleSupélec -- Université Paris-Saclay
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Identifiants chercheurs

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

vincent-mousseau

Multiple criteria sorting models and methods. Part II: theoretical results and general issues

Khaled Belahcene , Vincent Mousseau , Wassila Ouerdane , Marc Pirlot , Olivier Sobrie
4OR: A Quarterly Journal of Operations Research, 2023, ⟨10.1007/s10288-022-00531-3⟩
Article dans une revue hal-03932958v1

Multiple criteria sorting models and methods—Part I: survey of the literature

Khaled Belahcene , Vincent Mousseau , Wassila Ouerdane , Marc Pirlot , Olivier Sobrie
4OR: A Quarterly Journal of Operations Research, 2023, ⟨10.1007/s10288-022-00530-4⟩
Article dans une revue hal-03932949v1

Questionable Stepwise Explanations for a Robust Additive Preference Model

Manuel Amoussou , Khaled Belahcene , Christophe Labreuche , Nicolas Maudet , Vincent Mousseau
International Journal of Approximate Reasoning, 2023, pp.108982. ⟨10.1016/j.ijar.2023.108982⟩
Article dans une revue hal-04168685v1
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A MIP-based approach to learn MR-Sort models with single-peaked preferences

Pegdwendé Minoungou , Vincent Mousseau , Wassila Ouerdane , Paolo Scotton
Annals of Operations Research, 2022, ⟨10.1007/s10479-022-05007-5⟩
Article dans une revue hal-03812773v1

Ranking with Multiple Reference Points: Efficient SAT-based learning procedures

Khaled Belahcene , Vincent Mousseau , Wassila Ouerdane , Marc Pirlot , Olivier Sobrie
Computers and Operations Research, 2022, 150, pp.106054. ⟨10.1016/j.cor.2022.106054⟩
Article dans une revue hal-03838934v1

Interactive portfolio selection involving multicriteria sorting models

Ali Tlili , Oumaima Khaled , Vincent Mousseau , Wassila Ouerdane
Annals of Operations Research, 2022, ⟨10.1007/s10479-022-04877-z⟩
Article dans une revue hal-03740205v1
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Learning Non-Compensatory Sorting models using efficient SAT/MaxSAT formulations

Ali Tlili , Khaled Belahcene , Oumaima Khaled , Vincent Mousseau , Wassila Ouerdane
European Journal of Operational Research, 2021, 298 (3), pp.979-1006. ⟨10.1016/j.ejor.2021.08.017⟩
Article dans une revue hal-03347526v1
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Preference elicitation for a ranking method based on multiple reference profiles

Alexandru-Liviu Olteanu , Khaled Belahcene , Vincent Mousseau , Wassila Ouerdane , Antoine Rolland
4OR: A Quarterly Journal of Operations Research, 2021, 20, pp.63-84. ⟨10.1007/s10288-020-00468-5⟩
Article dans une revue hal-03094046v1

Reference-based ranking procedure for environmental decision making: Insights from an ex-post analysis

Valentina Ferretti , Liu Jinyan , Vincent Mousseau , Wassila Ouerdane
Environmental Modelling and Software, 2018, 99, pp.11-24
Article dans une revue hal-01632254v1

An efficient SAT formulation for learning multiple criteria non-compensatory sorting rules from examples

Khaled Belahcene , Christophe Labreuche , Nicolas Maudet , Vincent Mousseau , Wassila Ouerdane
Computers and Operations Research, 2018, 97, pp.58-71. ⟨10.1016/j.cor.2018.04.019⟩
Article dans une revue hal-01784941v1
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Counterfactual Explanations for Workforce Scheduling and Routing Problems

Mathieu Lerouge , Céline Gicquel , Vincent Mousseau , Wassila Ouerdane
ICORES 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 mobiles

Mathieu Lerouge , Céline Gicquel , Vincent Mousseau , Wassila Ouerdane
ROADEF 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’évaluation

Manuel Amoussou , Khaled Belahcene , Nicolas Maudet , Vincent Mousseau , Wassila Ouerdane
24e 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 additif

Manuel Amoussou , Khaled Belahcene , Nicolas Maudet , Vincent Mousseau , Wassila Ouerdane
16èmes 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 mobiles

Mathieu Lerouge , Céline Gicquel , Vincent Mousseau , Wassila Ouerdane
ROADEF2022 - 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 direction

Pegdwendé Minoungou , Vincent Mousseau , Wassila Ouerdane , Paolo Scotton
In 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 cancellation

Khaled Belahcene , Christophe Labreuche , Nicolas Maudet , Vincent Mousseau , Wassila Ouerdane
28th 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

A new efficient SAT formulation for learning NCS models: numerical results.

Khaled Belahcene , Oumeima Khaled , Vincent Mousseau , Wassila Ouerdane , Ali Tlili
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 Sorting

Khaled Belahcene , Yann Chevaleyre , Nicolas Maudet , Christophe Labreuche , Vincent Mousseau
27th 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

Ranking with Multiple Points: Efficient Elicitation and Learning Procedures

Khaled Belahcene , Vincent Mousseau , Wassila Ouerdane , Marc Pirlot , Olivier Sobrie
In the 4th wokshop from multiple criteria Decision aid to Preference Learning (DA2PL'18), Nov 2018, Poznan, Poland
Communication dans un congrès hal-01956130v1

Une formulation SAT pour l’apprentissage de modèles de classement multicritères non-compensatoires

Khaled Belahcene , Christophe Labreuche , Nicolas Maudet , Vincent Mousseau , Wassila Ouerdane
11e Journées d'Intelligence Artificielle Fondamentale, Jul 2017, Caen, France
Communication dans un congrès hal-01577816v1
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A Model for Accountable Ordinal Sorting

Khaled Belahcene , Christophe Labreuche , Nicolas Maudet , Vincent Mousseau , Wassila Ouerdane
26th International Joint Conference on Artificial Intelligence (IJCAI-2017), Aug 2017, Melbourne, Australia
Communication dans un congrès hal-01523779v1

Accountable classifications without frontiers.

Khaled Belahcene , Christophe Labreuche , Nicolas Maudet , Vincent Mousseau , Wassila Ouerdane
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.

Manel Mammar , Vincent Mousseau , Wassila Ouerdane , Alexandre Aubry
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.

Liu Jinyan , Wassila Ouerdane , Vincent Mousseau
In the 2nd wokshop from multiple criteria Decision aid to Preference Learning (DA2PL), Nov 2014, Chatenay Malabry, France
Communication dans un congrès hal-01202159v1

Multicriteria Modeling and Optimization of a market place of leads

Manel Mammar , Wassila Ouerdane , Vincent Mousseau
In 22nd International Conference on Multiple Criteria Decision Making, Jun 2013, Malaga, Spain
Communication dans un congrès hal-01207483v1