Benchmarking External Generalization of SPD Matrix Learning for Resting-State fMRI Connectome Prediction
eess.SP, cs.LG
Submitted: 2026-08-31
Updated: 2026-08-31
Comments: 33 pages, 5 figures
Code: https://github.com/scikit-learnNilearn:https:/nilearn.github.io
Project page: https://nilearn.github.io/stable/index.html
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges
- SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization
Related papers
- What If They Took the Shot? A Hierarchical Bayesian Framework for Counterfactual Expected Goals
- Runtime Assurance Under Measurement Attack: Necessary and Sufficient Observability Conditions for Learned Control in Radio Access Networks
- Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography
- SpellerSSL: Self-Supervised Learning with P300 Aggregation for Speller BCIs
- Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
- Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet