Pseudo-online framework for BCI evaluation: A MOABB perspective. - Igor Carrara; Théodore Papadopoulo (CoRR, 2023)

Geometric Neural Network based on Phase Space for BCI decoding. - Igor Carrara; Bruno Aristimunha; Marie-Constance Corsi; Raphael Y. de Camargo; Sylvain Chevallier; Théodore Papadopoulo (CoRR, 2024)

The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark. - Sylvain Chevallier; Igor Carrara; Bruno Aristimunha; Pierre Guetschel; Sara Sedlar; Bruna Lopes; Sébastien Velut; Salim Khazem; Thomas Moreau 001 (CoRR, 2024)

Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric. - Igor Carrara; Théodore Papadopoulo (CoRR, 2024)

Advanced methods for BCI-EEG processing for improved classification performance and reproducibility. (Méthodes avancées de traitement des BCI-EEG pour améliorer la performance et la reproductibilité de la classification). - Igor Carrara (2024)

Classification of BCI-EEG Based on the Augmented Covariance Matrix. - Igor Carrara; Théodore Papadopoulo (IEEE Trans. Biomed. Eng., 2024)