Estimation of a centrality parameter and random sampling time. I. Necessary conditions for optimality. - Claude Deniau; Georges Oppenheim; Marie-Claude Viano (Kybernetika, 1990)

Estimation of a centrality parameter and random sampling time schemes. II. Applications. - Claude Deniau; Georges Oppenheim; Marie-Claude Viano (Kybernetika, 1990)

Clustering Signals Using Wavelets. - Michel Misiti; Yves Misiti; Georges Oppenheim; Jean-Michel Poggi (IWANN, 2007)

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

Offshore Oil Slicks Detection From SAR Images Through The Mask-RCNN Deep Learning Model. - Emna Amri; Alexandre Benoît; Philippe Bolon; Véronique Miegebielle; Bruno Conche; Georges Oppenheim (IJCNN, 2020)

Smooth And Consistent Probabilistic Regression Trees. - Sami Alkhoury; Emilie Devijver; Marianne Clausel; Myriam Tami; Éric Gaussier; Georges Oppenheim (NeurIPS, 2020)

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)

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