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stat.ML2021★ 24 cited
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability
Carmen Jiménez-Mesa, Javier Ramírez, John Suckling +5
Discriminative analysis in neuroimaging by means of deep/machine learning techniques is usually tested with validation techniques, whereas the associated statistical significance r…
stat.ML2020★ 20 cited
A connection between the pattern classification problem and the General Linear Model for statistical inference
Juan Manuel Gorriz, SIPBA group, John Suckling
A connection between the General Linear Model (GLM) in combination with classical statistical inference and the machine learning (MLE)-based inference is described in this paper. F…