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Wassila Ouerdane
Wassila Ouerdane. Maître de conférences HDR en informatique à CentraleSupélec -- Université Paris-Saclay
100%
Libre accès
6
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
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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⟩
Communication dans un congrès
hal-03408909v1
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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⟩
Communication dans un congrès
cea-03406884v1
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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
Communication dans un congrès
cea-03406887v1
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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⟩
Communication dans un congrès
hal-03408917v1
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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
Communication dans un congrès
cea-03402616v1
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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⟩
Communication dans un congrès
hal-03102722v1
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