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Emmanuelle Claeys
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2020 – today
- 2025
 [c9]Michael Corbeau, Emmanuelle Claeys, Mathieu Serrurier, Pascale Zaraté: [c9]Michael Corbeau, Emmanuelle Claeys, Mathieu Serrurier, Pascale Zaraté:
 Analyse comparée de méthodes de générations de données hétérogènes, multidimensionnelles et réalistes. EGC 2025: 373-374
 [c8]Valentin Lafargue, Emmanuelle Claeys, Jean-Michel Loubes: [c8]Valentin Lafargue, Emmanuelle Claeys, Jean-Michel Loubes:
 Fairness is in the Details : Face Dataset Auditing. ECML/PKDD (10) 2025: 299-315
 [i3]Michael Corbeau, Emmanuelle Claeys, Mathieu Serrurier, Pascale Zaraté: [i3]Michael Corbeau, Emmanuelle Claeys, Mathieu Serrurier, Pascale Zaraté:
 Generating Heterogeneous Multi-dimensional Data : A Comparative Study. CoRR abs/2507.00090 (2025)
 [i2]Valentin Lafargue, Adriana Laurindo Monteiro, Emmanuelle Claeys, Laurent Risser, Jean-Michel Loubes: [i2]Valentin Lafargue, Adriana Laurindo Monteiro, Emmanuelle Claeys, Laurent Risser, Jean-Michel Loubes:
 Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks. CoRR abs/2507.20708 (2025)
- 2024
 [c7]Emmanuelle Claeys, Myriam Maumy-Bertrand, Pierre Gançarski: [c7]Emmanuelle Claeys, Myriam Maumy-Bertrand, Pierre Gançarski:
 Time Series Clustering for Enhanced Dynamic Allocation in A/B Testing. ECML/PKDD (9) 2024: 351-367
- 2023
 [j1]Emmanuelle Claeys [j1]Emmanuelle Claeys , Pierre Gançarski , Pierre Gançarski , Myriam Maumy-Bertrand , Myriam Maumy-Bertrand , Hubert Wassner: , Hubert Wassner:
 Dynamic Allocation Optimization in A/B-Tests Using Classification-Based Preprocessing. IEEE Trans. Knowl. Data Eng. 35(1): 335-349 (2023)
- 2021
 [c6]Djallel Bouneffouf, Emmanuelle Claeys: [c6]Djallel Bouneffouf, Emmanuelle Claeys:
 Online Hyper-Parameter Tuning for the Contextual Bandit. ICASSP 2021: 3445-3449
- 2020
 [c5]Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand: [c5]Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand:
 Intégration des séries temporelles dans les A/B-Tests. EGC 2020: 121-132
 [i1]Djallel Bouneffouf, Emmanuelle Claeys: [i1]Djallel Bouneffouf, Emmanuelle Claeys:
 Hyper-parameter Tuning for the Contextual Bandit. CoRR abs/2005.02209 (2020)
2010 – 2019
- 2019
 [b1]Emmanuelle Claeys: [b1]Emmanuelle Claeys:
 Clusterisation incrémentale, multicritères de données hétérogènes pour la personnalisation d'expérience utilisateur. (Incremental, multi-criteria clustering of heterogeneous data for user experience customization). University of Strasbourg, France, 2019
- 2018
 [c4]Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand: [c4]Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand:
 Approche contextuelle par régression pour les tests A/B. EGC 2018: 269-274
- 2017
 [c3]Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner: [c3]Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner:
 Approche paramétrique de bandits pour le test A/B. APIA 2017: 19-25
 [c2]Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner: [c2]Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner:
 Conception d'un modèle généraliste pour l'évaluation d'un test A/B. EGC 2017: 423-424
 [c1]Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand [c1]Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand , Hubert Wassner: , Hubert Wassner:
 Regression Tree for Bandits Models in A/B Testing. IDA 2017: 52-62
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last updated on 2025-10-12 22:25 CEST by the dblp team
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