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Statistically Valid Variable Importance Assessment through Conditional Permutations., , and . CoRR, (2023)A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility., , , , , , and . Patterns, 4 (4): 100712 (April 2023)Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets., , , , and . CoRR, (2024)A reusable benchmark of brain-age prediction from M/EEG resting-state signals., , , , , , , and . NeuroImage, (2022)Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states., , , , and . NeuroImage, (2020)Manifold-regression to predict from MEG/EEG brain signals without source modeling., , , , and . NeurIPS, page 7321-7332. (2019)Inference and Prediction Diverge in Biomedicine., , and . Patterns, 1 (8): 100119 (2020)Variable Importance in High-Dimensional Settings Requires Grouping., , and . CoRR, (2023)Learning with self-supervision on EEG data., , , , and . BCI, page 1-2. IEEE, (2021)Variable Importance in High-Dimensional Settings Requires Grouping., , and . AAAI, page 11195-11203. AAAI Press, (2024)