Post-hoc modification of linear models: Combining machine learning with domain information to make solid inferences from noisy data-Reference-Cited by-同舟云学术

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Post-hoc modification of linear models: Combining machine learning with domain information to make solid inferences from noisy data

Published:2020-01 Issue: Volume:204 Page:116221
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

van Vliet Marijn,Salmelin Riitta

Funder

Interuniversity Attraction Poles Programme – Belgian Science Policy

Aalto Brain Centre

Academy of Finland

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference60 articles.

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3. The spatiotemporal MEG covariance matrix modeled as a sum of Kronecker products;Bijma;Neurolmage,2005

4. Single-trial analysis and classification of ERP components - a tutorial;Blankertz;Neurolmage,2011

5. Optimizing spatial filters for robust EEG single-trial analysis;Blankertz;IEEE Signal Process. Mag.,2008

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