• xmlui.mirage2.page-structure.header.title
    • français
    • English
  • Help
  • Login
  • Language 
    • Français
    • English
View Item 
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesTypeThis CollectionBy Issue DateAuthorsTitlesType

My Account

LoginRegister

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors
Thumbnail

Ensemble learning based on functional connectivity and Riemannian geometry for robust workload estimation

Corsi, Marie-Constance; Chevallier, Sylvain; Barthélemy, Quentin; Hoxha, Isabelle; Yger, Florian, Ensemble learning based on functional connectivity and Riemannian geometry for robust workload estimation, Neuroergonomics conference 2021, 2021-09

View/Open
Corsi-Ensemble-learning.pdf (682.8Kb)
Type
Communication / Conférence
Conference title
Neuroergonomics conference 2021
Conference date
2021-09
Metadata
Show full item record
Author(s)
Corsi, Marie-Constance
Chevallier, Sylvain
Barthélemy, Quentin
Hoxha, Isabelle
Yger, Florian
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
Context Passive Brain-Computer Interface (pBCI) has recently gained in popularity through its applications, e.g. workload and attention assessment. Nevertheless, one of the main limitations remains the important intra-and inter-subject variability. We propose a robust approach relying on ensemble learning, grounded in functional connectivity and Riemannian geometry to mitigate the high variability of the data with a large and diverse panel of classifiers.
Subjects / Keywords
Riemannian geometry; Functional connectivity; Ensemble learning

Related items

Showing items related by title and author.

  • Thumbnail
    Clinical BCI Challenge-WCCI2020: RIGOLETTO -- RIemannian GeOmetry LEarning, applicaTion To cOnnectivity 
    Corsi, Marie-Constance; Yger, Florian; Chevallier, Sylvain; Noûs, Camille (2021) Rapport
  • Thumbnail
    Riemannian Geometry on Connectivity for Clinical BCI 
    Corsi, Marie-Constance; Yger, Florian; Chevallier, Sylvain; Noûs, Camille (2021) Communication / Conférence
  • Thumbnail
    Extending Riemannian Brain-Computer Interface to Functional Connectivity Estimators 
    Chevallier, Sylvain; Corsi, Marie-Constance; Yger, Florian; Noûs, Camille (2020) Communication / Conférence
  • Thumbnail
    Functional connectivity ensemble method to enhance BCI performance (FUCONE) 
    Corsi, Marie-Constance; Chevallier, Sylvain; de Vico Fallani, Fabrizio; Yger, Florian (2022) Article accepté pour publication ou publié
  • Thumbnail
    Riemannian Classification for SSVEP-Based BCI: Offline versus Online Implementations 
    Chevallier, Sylvain; Kalunga, Emmanuel; Barthélemy, Quentin; Yger, Florian (2018) Chapitre d'ouvrage
Dauphine PSL Bibliothèque logo
Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16
Phone: 01 44 05 40 94
Contact
Dauphine PSL logoEQUIS logoCreative Commons logo