Anomaly detection and estimation in hyperspectral imaging using Random Matrix Theory tools. - Eugénie Terreaux; Jean Philippe Ovarlez; Frédéric Pascal 001 (CAMSAP, 2015)

New model order selection in large dimension regime for complex elliptically symmetric noise. - Eugénie Terreaux; Jean Philippe Ovarlez; Frédéric Pascal 001 (EUSIPCO, 2017)

Improving Portfolios Global Performance with Robust Covariance Matrix Estimation: Application to the Maximum Variety Portfolio. - Emmanuelle Jay; Eugénie Terreaux; Jean Philippe Ovarlez; Frédéric Pascal 001 (EUSIPCO, 2018)

A Toeplitz-Tyler Estimation of the Model Order in Large Dimensional Regime. - Eugénie Terreaux; Jean Philippe Ovarlez; Frédéric Pascal 001 (ICASSP, 2018)

Théorie des matrices aléatoires pour l'imagerie hyperspectrale. (Random Matrix Theory for Hyperspectral Imaging). - Eugénie Terreaux (2018)

Improving portfolios global performance using a cleaned and robust covariance matrix estimate. - Emmanuelle Jay; Thibault Soler; Eugénie Terreaux; Jean Philippe Ovarlez; Frédéric Pascal 001; Philippe de Peretti; Christophe Chorro (Soft Comput., 2020)

Out-of-Distribution Radar Detection in Compound Clutter and Thermal Noise through Variational Autoencoders. - Y. A. Rouzoumka; Eugénie Terreaux; Christèle Morisseau; Jean Philippe Ovarlez; C. Ren (ICASSP, 2025)

Out-of-Distribution Radar Detection in Compound Clutter and Thermal Noise through Variational Autoencoders. - Y. A. Rouzoumka; Eugénie Terreaux; Christèle Morisseau; Jean Philippe Ovarlez; Chengfang Ren (CoRR, 2025)