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Physics-informed and Unsupervised Riemannian Domain Adaptation for
  Machine Learning on Heterogeneous EEG Datasets
v1v2 (latest)

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

European Signal Processing Conference (EUSIPCO), 2024
7 March 2024
Apolline Mellot
Antoine Collas
Sylvain Chevallier
Denis A. Engemann
Alexandre Gramfort
    OOD
ArXiv (abs)PDFHTMLGithub (962★)

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

2 / 2 papers shown
SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges
SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges
Ce Ju
Reinmar J. Kobler
Antoine Collas
M. Kawanabe
Cuntai Guan
Bertrand Thirion
444
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
320
12
0
19 Jan 2024
1
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