Textual Data for Time Series Forecasting. - David Obst; Badih Ghattas; Sandra Claudel; Jairo Cugliari; Yannig Goude; Georges Oppenheim (CoRR, 2019)

Transfer Learning for Linear Regression: a Statistical Test of Gain. - David Obst; Badih Ghattas; Jairo Cugliari; Georges Oppenheim; Sandra Claudel; Yannig Goude (CoRR, 2021)

Improved linear regression prediction by transfer learning. - David Obst; Badih Ghattas; Sandra Claudel; Jairo Cugliari; Yannig Goude; Georges Oppenheim (Comput. Stat. Data Anal., 2022)

Automated Deep Learning for load forecasting. - Julie Keisler; Sandra Claudel; Gilles Cabriel; Margaux Brégère (AutoML, 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)

Textual data for electricity load forecasting. - David Obst; Sandra Claudel; Jairo Cugliari; Badih Ghattas; Yannig Goude; Georges Oppenheim (Qual. Reliab. Eng. Int., 2024)