- Harmonizing and aligning M/EEG datasets with covariance|based ...🔍
- Harmonizing and aligning M/EEG datasets with covariance🔍
- Harmonizing and aligning M/EEG datasets with ...🔍
- Imaging Neuroscience on X🔍
- arXiv:2402.03345v1 [eess.SP] 24 Jan 2024🔍
- Apolline Mellot🔍
- Apolline Mellot🔍
- ComBat models for harmonization of resting|state EEG features in ...🔍
Harmonizing and aligning M/EEG datasets with covariance
Harmonizing and aligning M/EEG datasets with covariance-based ...
This study demonstrates that the generalization of M/EEG-based regression models across datasets can be substantially enhanced by applying domain adaptation ...
Harmonizing and aligning M/EEG datasets with covariance-based ...
Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling ... This article is a preprint ...
Harmonizing and aligning M/EEG datasets with covariance
Model- based dataset alignment methods can leverage the geometry of covariance matrices, leading to three steps: re- centering, re- scaling, and ...
Harmonizing and aligning M/EEG datasets with covariance-based ...
State-of-the-art predictive approaches on M/EEG signals classically represent the data by covariance matrices. Model-based dataset alignment ...
Harmonizing and aligning M/EEG datasets with ... - OpenAlex
Please enable it to continue. OpenAlex. back. Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling.
Harmonizing and aligning M/EEG datasets with covariance-based ...
State-of-the-art predictive approaches on magneto- and electroencephalography (M/EEG) signals classically represent the data by covariance matrices. Model-based ...
Harmonizing and aligning M/EEG datasets with covariance-based ...
Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling. Machine Learning · Psychology · Computer ...
Imaging Neuroscience on X: "New paper in Imaging Neuroscience ...
by Apolline Mellot, Alexandre Gramfort, et al: Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance ...
arXiv:2402.03345v1 [eess.SP] 24 Jan 2024
two Stiefel matrices that are used to align the covariances of both source and target data. ... Harmonizing and aligning M/EEG datasets with ...
Apolline Mellot - Google Scholar
Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling. A Mellot, A Collas, PLC Rodrigues, DA ...
Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive... Abstract. Neuroscience studies face ...
ComBat models for harmonization of resting-state EEG features in ...
Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling. Imaging Neuroscience, 1 ...
publications - Denis A. Engemann
Engemann. Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling · Apr 27, 2023. Mellot, Apolline ...
Geodesic Optimization for Predictive Shift Adaptation on EEG data
[f] Mellot, A., Collas, A., Rodrigues, P. L., Engemann, D., & Gramfort, A. (2023). Harmonizing and aligning M/EEG datasets with covariance-based ...
Apolline Mellot (0000-0002-7001-9749) - ORCID
Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling. 2023-04-27 | Preprint | Author.
Physics-informed and Unsupervised Riemannian Domain ...
205–. 219. [10] A. Mellot et al., “Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling,”.
Journal Articles · Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling · Parametric ...
Geodesic Optimization for Predictive Shift Adaptation on EEG data
Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling. Imaging Neuroscience, 1 ...
An extended clinical EEG dataset with 15,300 automatically labelled ...
(2022) published the NMT Scalp EEG dataset as another public EEG pathology dataset ... Harmonizing and aligning m/eeg datasets with covariance-based techniques to ...
State-of-the-art predictive approaches on M/EEG signals classically represent the data by covariance matrices. Model-based dataset alignment methods can ...