Pedro Luiz COELHO RODRIGUES
Doctorant Grenoble-INP
Equipe Vision and Brain Signal Processing
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : pedro-luiz.coelho-rodrigues@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1180
Tél.33 (0)4 76 82 71 07
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Building Brain Invaders: EEG data of an experimental validation

Gijsbrecht Van Veen, Alexandre Barachant, Anton Andreev, Grégoire Cattan, Pedro Luiz Coelho Rodrigues, et al.. Building Brain Invaders: EEG data of an experimental validation. [Research Report] 1, GIPSA-lab. 2019. ⟨hal-02126068⟩

Dataset of an EEG-based BCI experiment in Virtual Reality and on a Personal ComputerBase de données d'une expérience de BCI basée sur l'EEG en Réalité Virtuelle et sur PC

Grégoire Cattan, Anton Andreev, Pedro Luiz Coelho Rodrigues, Marco Congedo. Dataset of an EEG-based BCI experiment in Virtual Reality and on a Personal Computer. [Research Report] GIPSA-lab; IHMTEK. 2019. ⟨hal-02078533v2⟩

Riemannian Procrustes Analysis : Transfer Learning for Brain-Computer Interfaces

Pedro Luiz Coelho Rodrigues, Christian Jutten, Marco Congedo. Riemannian Procrustes Analysis : Transfer Learning for Brain-Computer Interfaces. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2018, ⟨10.1109/TBME.2018.2889705⟩. ⟨hal-01971856⟩

EEG Alpha Waves DatasetEnregistrements EEG de rythmes alpha

Grégoire Cattan, Pedro Luiz Coelho Rodrigues, Marco Congedo. EEG Alpha Waves Dataset. [Research Report] GIPSA-LAB. 2018. ⟨hal-02086581⟩

Multivariate Time-Series Analysis Via Manifold Learning

Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten. Multivariate Time-Series Analysis Via Manifold Learning. IEEE Statistical Signal Processing Workshop (SSP 2018), Jun 2018, Fribourg-en-Brisgau, Germany. ⟨10.1109/SSP.2018.8450771⟩. ⟨hal-01868167⟩

Dimensionality Reduction for BCI classification using Riemannian geometry

Pedro Rodrigues, Florent Bouchard, Marco Congedo, Christian Jutten. Dimensionality Reduction for BCI classification using Riemannian geometry. 7th Graz Brain-Computer Interface Conference (BCI 2017), Gernot R. Müller-Putz, Sep 2017, Graz, Austria. ⟨10.3217/978-3-85125-533-1-16⟩. ⟨hal-01591258⟩

Géométrie Riemannienne appliquée à la réduction de la dimension de signaux EEG pour les interfaces cerveau-machine

Pedro Rodrigues, Florent Bouchard, Marco Congedo, Christian Jutten. Géométrie Riemannienne appliquée à la réduction de la dimension de signaux EEG pour les interfaces cerveau-machine. XXVIème colloque GRETSI (GRETSI 2017), Cédric Richard; Marc Antonini, Sep 2017, Juan-Les-Pins, France. ⟨hal-01591252⟩

Réduction de dimension pour la Séparation Aveugle de Sources

Florent Bouchard, Pedro Rodrigues, Jérôme Malick, Marco Congedo. Réduction de dimension pour la Séparation Aveugle de Sources. XXVIème colloque GRETSI (GRETSI 2017), Sep 2017, Juan-Les-Pins, France. ⟨hal-01589766⟩

A Closed-Form Unsupervised Geometry-Aware Dimensionality Reduction Method in the Riemannian Manifold of SPD Matrices

Marco Congedo, Pedro Rodrigues, Florent Bouchard, Alexandre Barachant, Christian Jutten. A Closed-Form Unsupervised Geometry-Aware Dimensionality Reduction Method in the Riemannian Manifold of SPD Matrices. 39th International Conference of the IEEE Engineering in Medicine and Biology Society, Jeju Island (EMBC'17), IEEE, Jul 2017, Jeju Island, South Korea. pp.3198-3201. ⟨hal-01563153⟩

SUJET DE THESE / PhD THESIS

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal