Sandra Claudel

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 5

Top Topics

Linear Regression

Top Venues

Comput. Stat. Data Anal.

Publications

Julie Keisler, Sandra Claudel, Gilles Cabriel, Margaux Brégère
Automated Deep Learning for Load Forecasting. CoRR (2024)
Julie Keisler, El-Ghazali Talbi, Sandra Claudel, Gilles Cabriel
An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters. CoRR (2023)
David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim
Improved linear regression prediction by transfer learning. Comput. Stat. Data Anal. 174 (2022)
David Obst, Badih Ghattas, Jairo Cugliari, Georges Oppenheim, Sandra Claudel, Yannig Goude
Transfer Learning for Linear Regression: a Statistical Test of Gain. CoRR (2021)
David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim
Textual Data for Time Series Forecasting. CoRR (2019)