Results 221 to 230 of about 329,540 (279)

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

open access: yesAdvanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su   +14 more
wiley   +1 more source

Neural network approach enhancing churn prediction with categorical encoding and standard scaling. [PDF]

open access: yesSci Rep
Bhattacharjee B   +7 more
europepmc   +1 more source

Enhancement of LTE and NR systems through efficient physical cell identity allocation. [PDF]

open access: yesSci Rep
Farghaly SI   +8 more
europepmc   +1 more source

InFoRM: a unified inverse and forward model for sensorimotor control. [PDF]

open access: yesSci Rep
de Graaf ML   +7 more
europepmc   +1 more source

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