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2020 – today
- 2024
[e4]Shadi Ibrahim, Suren Byna, Tristan Allard, Jay F. Lofstead, Amelie Chi Zhou, Tassadit Bouadi, Jalil Boukhobza, Diana Moise, Cédric Tedeschi, Jean Luca Bez:
Proceedings of the 36th International Conference on Scientific and Statistical Database Management, SSDBM 2024, Rennes, France, July 10-12, 2024. ACM 2024, ISBN 979-8-4007-1020-9 [contents]- 2023
- [j5]Yiru Zhang
, Sébastien Destercke, Zuowei Zhang, Tassadit Bouadi, Arnaud Martin:
On Computing Evidential Centroid Through Conjunctive Combination: An Impossibility Theorem. IEEE Trans. Artif. Intell. 4(3): 487-496 (2023) - [c17]Victor Guyomard, François Wallyn, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier:
Visualiser des explications contrefactuelles pour des données tabulaires. EGC 2023: 557-564 - [c16]Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier:
Interactive Visualization of Counterfactual Explanations for Tabular Data. ECML/PKDD (7) 2023: 330-334 - [c15]Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier:
Generating Robust Counterfactual Explanations. ECML/PKDD (3) 2023: 394-409 - [i3]Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier:
Generating robust counterfactual explanations. CoRR abs/2304.12943 (2023) - 2022
- [c14]Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas:
AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence. CIKM 2022: 5160 - [c13]Victor Guyomard, Françoise Fessant, Tassadit Bouadi, Thomas Guyet:
Générer des explications contrefactuelles à l'aide d'un autoencodeur supervisé. EGC 2022: 111-122 - [c12]Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier:
VCNet: A Self-explaining Model for Realistic Counterfactual Generation. ECML/PKDD (1) 2022: 437-453 - [e3]Tassadit Bouadi, Élisa Fromont, Eyke Hüllermeier:
Advances in Intelligent Data Analysis XX - 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022, Proceedings. Lecture Notes in Computer Science 13205, Springer 2022, ISBN 978-3-031-01332-4 [contents] - [i2]Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier:
VCNet: A self-explaining model for realistic counterfactual generation. CoRR abs/2212.10847 (2022) - 2021
- [j4]Yiru Zhang, Tassadit Bouadi, Yewan Wang, Arnaud Martin:
A distance for evidential preferences with application to group decision making. Inf. Sci. 568: 113-132 (2021) - [c11]Simon Coumes, Tassadit Bouadi, Lhouari Nourine, Alexandre Termier:
Skyline Groups Are Ideals. An Efficient Algorithm for Enumerating Skyline Groups. IWOCA 2021: 223-236 - [c10]Victor Guyomard, Françoise Fessant, Tassadit Bouadi, Thomas Guyet:
Post-hoc Counterfactual Generation with Supervised Autoencoder. PKDD/ECML Workshops (1) 2021: 105-114 - [e2]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - 2020
- [c9]Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas:
AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence. CIKM 2020: 3529-3530
2010 – 2019
- 2018
- [c8]Yiru Zhang, Tassadit Bouadi, Arnaud Martin:
An Empirical Study to Determine the Optimal k in Ek-NNclus Method. BELIEF 2018: 260-268 - [c7]Yiru Zhang, Tassadit Bouadi, Arnaud Martin:
A Clustering Model for Uncertain Preferences Based on Belief Functions. DaWaK 2018: 111-125 - 2017
- [j3]Tassadit Bouadi, Marie-Odile Cordier, Pierre Moreau, René Quiniou, Jordy Salmon-Monviola, Chantal Gascuel-Odoux:
A data warehouse to explore multidimensional simulated data from a spatially distributed agro-hydrological model to improve catchment nitrogen management. Environ. Model. Softw. 97: 229-242 (2017) - [c6]Yiru Zhang, Tassadit Bouadi, Arnaud Martin:
Preference fusion and Condorcet's paradox under uncertainty. FUSION 2017: 1-8 - [c5]Tristan Allard, Tassadit Bouadi, Joris Duguépéroux, Virginie Sans:
From Self-data to Self-preferences: Towards Preference Elicitation in Personal Information Management Systems. PAP@PKDD/ECML 2017: 10-16 - [i1]Yiru Zhang, Tassadit Bouadi, Arnaud Martin:
Preference fusion and Condorcet's Paradox under uncertainty. CoRR abs/1708.03259 (2017) - 2016
- [j2]Tassadit Bouadi, Fabien Gandon, Arnaud Martin:
Introduction. Rev. d'Intelligence Artif. 30(4): 391-392 (2016) - 2014
- [c4]Tassadit Bouadi, Marie-Odile Cordier, René Quiniou:
Computing Hierarchical Skyline Queries "On-the-Fly" in a Data Warehouse. DaWaK 2014: 146-158 - [c3]Tassadit Bouadi, Marie-Odile Cordier, Rene Quiniou:
Requêtes Skyline Hiérarchiques. EDA 2014: 51-66 - 2013
- [b1]Tassadit Bouadi:
Analyse multidimensionnelle interactive de résultats de simulation. Aide à la décision dans le domaine de l'agroécologie. University of Rennes 1, France, 2013 - [j1]Tassadit Bouadi, Marie-Odile Cordier, René Quiniou:
Computing Skyline Incrementally in Response to Online Preference Modification. Trans. Large Scale Data Knowl. Centered Syst. 10: 34-59 (2013) - 2012
- [c2]Tassadit Bouadi, Marie-Odile Cordier, René Quiniou:
Incremental Computation of Skyline Queries with Dynamic Preferences. DEXA (1) 2012: 219-233 - 2010
- [c1]Tassadit Bouadi, Sandra Bringay, Pascal Poncelet, Maguelonne Teisseire:
Requêtes Skyline avec prise en compte des préférences utilisateurs pour des données volumineuses. EGC 2010: 399-404
Coauthor Index
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