Requêtes Skyline avec prise en compte des préférences utilisateurs pour des données volumineuses. - Tassadit Bouadi; Sandra Bringay; Pascal Poncelet; Maguelonne Teisseire (EGC, 2010)

Incremental Computation of Skyline Queries with Dynamic Preferences. - Tassadit Bouadi; Marie-Odile Cordier; René Quiniou (DEXA (1), 2012)

Computing Skyline Incrementally in Response to Online Preference Modification. - Tassadit Bouadi; Marie-Odile Cordier; René Quiniou (Trans. Large Scale Data Knowl. Centered Syst., 2013)

Analyse multidimensionnelle interactive de résultats de simulation. Aide à la décision dans le domaine de l'agroécologie. - Tassadit Bouadi (2013)

Computing Hierarchical Skyline Queries "On-the-Fly" in a Data Warehouse. - Tassadit Bouadi; Marie-Odile Cordier; René Quiniou (DaWaK, 2014)

Requêtes Skyline Hiérarchiques. - Tassadit Bouadi; Marie-Odile Cordier; Rene Quiniou (EDA, 2014)

Introduction. - Tassadit Bouadi; Fabien Gandon; Arnaud Martin 001 (Rev. d'Intelligence Artif., 2016)

Preference fusion and Condorcet's paradox under uncertainty. - Yiru Zhang; Tassadit Bouadi; Arnaud Martin 001 (FUSION, 2017)

From Self-data to Self-preferences: Towards Preference Elicitation in Personal Information Management Systems. - Tristan Allard; Tassadit Bouadi; Joris Duguépéroux; Virginie Sans (PAP@PKDD/ECML, 2017)

A data warehouse to explore multidimensional simulated data from a spatially distributed agro-hydrological model to improve catchment nitrogen management. - Tassadit Bouadi; Marie-Odile Cordier; Pierre Moreau 002; René Quiniou; Jordy Salmon-Monviola; Chantal Gascuel-Odoux (Environ. Model. Softw., 2017)

An Empirical Study to Determine the Optimal k in Ek-NNclus Method. - Yiru Zhang; Tassadit Bouadi; Arnaud Martin 001 (BELIEF, 2018)

A Clustering Model for Uncertain Preferences Based on Belief Functions. - Yiru Zhang; Tassadit Bouadi; Arnaud Martin 001 (DaWaK, 2018)

AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence. - Adrien Bibal; Tassadit Bouadi; Benoît Frénay; Luis Galárraga; José Oramas (CIKM, 2020)

Skyline Groups Are Ideals. An Efficient Algorithm for Enumerating Skyline Groups. - Simon Coumes; Tassadit Bouadi; Lhouari Nourine; Alexandre Termier (IWOCA, 2021)

Post-hoc Counterfactual Generation with Supervised Autoencoder. - Victor Guyomard; Françoise Fessant; Tassadit Bouadi; Thomas Guyet (PKDD/ECML Workshops (1), 2021)

A distance for evidential preferences with application to group decision making. - Yiru Zhang; Tassadit Bouadi; Yewan Wang; Arnaud Martin 001 (Inf. Sci., 2021)

AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence. - Adrien Bibal; Tassadit Bouadi; Benoît Frénay; Luis Galárraga; José Oramas (CIKM, 2022)

Générer des explications contrefactuelles à l'aide d'un autoencodeur supervisé. - Victor Guyomard; Françoise Fessant; Tassadit Bouadi; Thomas Guyet (EGC, 2022)

VCNet: A Self-explaining Model for Realistic Counterfactual Generation. - Victor Guyomard; Françoise Fessant; Thomas Guyet; Tassadit Bouadi; Alexandre Termier (ECML/PKDD (1), 2022)

Visualiser des explications contrefactuelles pour des données tabulaires. - Victor Guyomard; François Wallyn; Françoise Fessant; Thomas Guyet; Tassadit Bouadi; Alexandre Termier (EGC, 2023)

Generating Robust Counterfactual Explanations. - Victor Guyomard; Françoise Fessant; Thomas Guyet; Tassadit Bouadi; Alexandre Termier (ECML/PKDD (3), 2023)

Interactive Visualization of Counterfactual Explanations for Tabular Data. - Victor Guyomard; Françoise Fessant; Thomas Guyet; Tassadit Bouadi; Alexandre Termier (ECML/PKDD (7), 2023)

On Computing Evidential Centroid Through Conjunctive Combination: An Impossibility Theorem. - Yiru Zhang; Sébastien Destercke; Zuowei Zhang 001; Tassadit Bouadi; Arnaud Martin 001 (IEEE Trans. Artif. Intell., 2023)

Trust in Artificial Intelligence: Beyond Interpretability. - Tassadit Bouadi; Benoît Frénay; Luis Galárraga; Pierre Geurts; Barbara Hammer; Gilles Perrouin (ESANN, 2024)