Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering. - Maria Sayu Yamamoto; Khadijeh Sadatnejad; Toshihisa Tanaka 001; Md. Rabiul Islam 003; Yuichi Tanaka 001; Fabien Lotte (EMBC, 2020)

Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data. - Maria Sayu Yamamoto; Florian Yger; Sylvain Chevallier (ICASSP, 2021)

Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results. - Maria Sayu Yamamoto; Fabien Lotte; Florian Yger; Sylvain Chevallier (EMBC, 2022)

pyRiemann/pyRiemann: v0.3. - Alexandre Barachant; Quentin Barthélemy; Jean-Rémi King; Alexandre Gramfort; Sylvain Chevallier; Pedro L. C. Rodrigues; Emanuele Olivetti; Vladislav Goncharenko; Gabriel Wagner vom Berg; Ghiles Reguig; Arthur Lebeurrier; Erik Bjäreholt; et al. (Zenodo, 2022)

Novel SPD Matrix Representations Considering Cross-Frequency Coupling for EEG Classification Using Riemannian Geometry. - Maria Sayu Yamamoto; Apolline Mellot; Sylvain Chevallier; Fabien Lotte (EUSIPCO, 2023)

Addressing the Large Variability of EEG Data with Riemannian Geometry: Toward Designing Reliable Brain-Computer Interfaces. (Aborder la grande variabilité des données EEG avec la géométrie riemannienne: vers la conception d'interfaces cerveau-ordinateur fiables). - Maria Sayu Yamamoto (2024)

Modeling Complex EEG Data Distribution on the Riemannian Manifold Toward Outlier Detection and Multimodal Classification. - Maria Sayu Yamamoto; Khadijeh Sadatnejad; Toshihisa Tanaka 001; Md. Rabiul Islam 003; Frédéric Dehais; Yuichi Tanaka 001; Fabien Lotte (IEEE Trans. Biomed. Eng., 2024)