M
Marco Congedo
Researcher at University of Grenoble
Publications - 160
Citations - 10647
Marco Congedo is an academic researcher from University of Grenoble. The author has contributed to research in topics: Blind signal separation & Riemannian geometry. The author has an hindex of 39, co-authored 155 publications receiving 8610 citations. Previous affiliations of Marco Congedo include Centre national de la recherche scientifique & French Institute for Research in Computer Science and Automation.
Papers
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Proceedings ArticleDOI
Mining the bilinear structure of data with approximate joint diagonalization
TL;DR: This paper shows how the linear and bilinear joint diagonalization can be applied for extracting sources according to a composite model where some of the sources have a linear structure and other a bilinears structure in the case of Event Related Potentials (ERPs).
"When does it work ?" : An exploratory analysis of Transfer Learning for BCI.
TL;DR: An exploratory analysis is performed to study the influence of some simple descriptors of the source and target datasets over the classification scores obtained with Transfer Learning and observes that the discriminability of the data points in the target session plays an important role in determining how well the Transfer Learning will work.
Journal ArticleDOI
Whole scalp EEG power change is not a prerequisite for further EEG processing.
TL;DR: W Whole scalp EEG power change is not a prerequisite for further EEG processing Dirk De Ridder, Marco Congedo, Jae-Jin Song, Sven Vanneste.
Journal ArticleDOI
Sélection de capteurs pour interfaces cerveau-ordinateur de type P300
Hubert Cecotti,Bertrand Rivet,Marco Congedo,Christian Jutten,Olivier F. Bertrand,Emmanuel Maby,Jérémie Mattout +6 more
TL;DR: Une interface cerveau-ordinateur (ICO) est un nouveau type d'interface homme-machine qui permet la communication directe entre l'utilisateur and the machine en decodant l'activite cerebrale en permettant ainsi d'eviter une etape de classification.
Proceedings Article
The error-related potential and BCIs.
TL;DR: The characteristics of the error potential are studied and how it could be used for BCI systems improvement is presented.