ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.15415
  4. Cited By
Physics-informed and Unsupervised Riemannian Domain Adaptation for
  Machine Learning on Heterogeneous EEG Datasets

Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets

7 March 2024
Apolline Mellot
Antoine Collas
Sylvain Chevallier
D. Engemann
Alexandre Gramfort
    OOD
ArXivPDFHTML

Papers citing "Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets"

2 / 2 papers shown
Title
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges
Ce Ju
Reinmar J. Kobler
Antoine Collas
M. Kawanabe
Cuntai Guan
Bertrand Thirion
41
0
0
26 Apr 2025
A Systematic Evaluation of Euclidean Alignment with Deep Learning for
  EEG Decoding
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding
Bruna Junqueira
Bruno Aristimunha
Sylvain Chevallier
Raphael Y. de Camargo
20
6
0
19 Jan 2024
1