Myriam Maumy-Bertrand

According to our database, Myriam Maumy-Bertrand authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

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

Fitting and Cross-Validating Cox Models to Censored Big Data With Missing Values Using Extensions of Partial Least Squares Regression Models.

Frédéric Bertrand, Myriam Maumy-Bertrand

Frontiers Big Data, 2021

New Developments in Sparse PLS Regression.

Jérémy Magnanensi, Myriam Maumy-Bertrand, Nicolas Meyer, Frédéric Bertrand

Frontiers Appl. Math. Stat., 2021

selectBoost: a general algorithm to enhance the performance of variable selection methods.

Frédéric Bertrand, Ismaïl Aouadi, Nicolas Jung, Raphael Carapito, Laurent Vallat, Seiamak Bahram, Myriam Maumy-Bertrand

Bioinform., 2021

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

2018

Fast and Accurate Affect Prediction Using a Hierarchy of Random Forests.

Maxime Sazadaly, Pierre Pinchon, Arthur Fagot, Lionel Prevost, Myriam Maumy-Bertrand

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 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

Cascade of Ordinal Classification and Local Regression for Audio-Based Affect Estimation.

Maxime Sazadaly, Pierre Pinchon, Arthur Fagot, Lionel Prevost, Myriam Maumy-Bertrand

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017

A new universal resample-stable bootstrap-based stopping criterion for PLS component construction.

Jérémy Magnanensi, Frédéric Bertrand, Myriam Maumy-Bertrand, Nicolas Meyer

Stat. Comput., 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

2015

Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data.

Philippe Bastien, Frédéric Bertrand, Nicolas Meyer, Myriam Maumy-Bertrand

Bioinform., 2015

2014

Cascade: a R package to study, predict and simulate the diffusion of a signal through a temporal gene network.

Nicolas Jung, Frédéric Bertrand, Seiamak Bahram, Laurent Vallat, Myriam Maumy-Bertrand

Bioinform., 2014