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IEEE

EEG Classification Using Contrastive Learning and Riemannian Tangent Space Representations

Abstract: This paper introduces a novel advanced framework for the classification of Electroencephalography (EEG) signals through the integration of Riemannian geometry and a bespoke contrastive ...
Saint Louis University

Department of Computer Science

The Saint Louis University Department of Computer Science is committed to the development and study of computing technologies for the greater good of humanity. SLU offers bachelor's, master's and ...
GitHub

Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry

Figure 2: The distances under Power Euclidean Metric (PEM) and Log-Euclidean Metric (LEM) are significantly different (256 x 256 SPD matrices). This is the official code for our ICLR 2025 publication: ...
IEEE

Riemannian Approach Based Depression classification using Transfer Learning for MEG signals

Abstract: Major Depressive Disorder (MDD) is a mental disorder characterized by persistent feelings of sadness, loss of interest or pleasure, and a variety of physical and cognitive symptoms. This ...
GitHub

exporl/spatial-focus-of-attention-csp-and-rgc

See the LICENSE file for license rights and limitations. By downloading and/or installing this software and associated files on your computing system you agree to use the software under the terms and ...