Sandra Claudel

According to our database, Sandra Claudel authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

Textual data for electricity load forecasting.

David Obst, Sandra Claudel, Jairo Cugliari, Badih Ghattas, Yannig Goude, Georges Oppenheim

Qual. Reliab. Eng. Int., December, 2024

An Algorithmic Framework for the Optimization of Deep Neural Networks Architectures and Hyperparameters.

Julie Keisler, El-Ghazali Talbi, Sandra Claudel, Gilles Cabriel

J. Mach. Learn. Res., 2024

Automated Deep Learning for Load Forecasting.

Julie Keisler, Sandra Claudel, Gilles Cabriel, Margaux Brégère

CoRR, 2024

2022

Improved linear regression prediction by transfer learning.

David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim

Comput. Stat. Data Anal., 2022

2021

Transfer Learning for Linear Regression: a Statistical Test of Gain.

David Obst, Badih Ghattas, Jairo Cugliari, Georges Oppenheim, Sandra Claudel, Yannig Goude

CoRR, 2021

2019

Textual Data for Time Series Forecasting.

David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim

CoRR, 2019