Emmanuelle Claeys

According to our database, Emmanuelle Claeys authored at least 16 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Probing Cultural Signals in Large Language Models through Author Profiling.

Valentin Lafargue, Ariel Guerra-Adames, Emmanuelle Claeys, Elouan Vuichard, Jean-Michel Loubes

CoRR, March, 2026

2025

Buzz, Choose, Forget: A Meta-Bandit Framework for Bee-Like Decision Making.

Emmanuelle Claeys, Elena Kerjean, Jean-Michel Loubes

CoRR, October, 2025

Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks.

Valentin Lafargue, Adriana Laurindo Monteiro, Emmanuelle Claeys, Laurent Risser, Jean-Michel Loubes

CoRR, July, 2025

Generating Heterogeneous Multi-dimensional Data : A Comparative Study.

Michael Corbeau, Emmanuelle Claeys, Mathieu Serrurier, Pascale Zaraté

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Fairness is in the Details : Face Dataset Auditing.

Valentin Lafargue, Emmanuelle Claeys, Jean-Michel Loubes

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track, 2025

Analyse comparée de méthodes de générations de données hétérogènes, multidimensionnelles et réalistes.

Michael Corbeau, Emmanuelle Claeys, Mathieu Serrurier, Pascale Zaraté

Proceedings of the Extraction et Gestion des Connaissances, EGC 2025, 2025

2024

Time Series Clustering for Enhanced Dynamic Allocation in A/B Testing.

Emmanuelle Claeys, Myriam Maumy-Bertrand, Pierre Gançarski

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

2023

Dynamic Allocation Optimization in A/B-Tests Using Classification-Based Preprocessing.

Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner

IEEE Trans. Knowl. Data Eng., 2023

2021

Online Hyper-Parameter Tuning for the Contextual Bandit.

Djallel Bouneffouf, Emmanuelle Claeys

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Hyper-parameter Tuning for the Contextual Bandit.

Djallel Bouneffouf, Emmanuelle Claeys

CoRR, 2020

Intégration des séries temporelles dans les A/B-Tests.

Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand

Proceedings of the Extraction et Gestion des Connaissances, 2020

2019

Clusterisation incrémentale, multicritères de données hétérogènes pour la personnalisation d'expérience utilisateur. (Incremental, multi-criteria clustering of heterogeneous data for user experience customization).

Emmanuelle Claeys

PhD thesis, 2019

2018

Approche contextuelle par régression pour les tests A/B.

Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand

Proceedings of the Extraction et Gestion des Connaissances, 2018

2017

Regression Tree for Bandits Models in A/B Testing.

Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner

Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Conception d'un modèle généraliste pour l'évaluation d'un test A/B.

Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

Approche paramétrique de bandits pour le test A/B.

Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner

Proceedings of the 3ème Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle, 2017