A graph convolutional network for classification of resting-state fMRI data

Elena Pitsik; Semen Kurkin; Alexander Hramov; Rositsa Paunova; Denitsa Simeonova; Sevdalina Kandilarova; Drozdstoy Stoyanov

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Източник: Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022; Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022

Системен №: 16211

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APA Chicago / Turabian (16th edition) Harvard MLA (7th edition)

Pitsik, E., Kurkin, S., Hramov, A., Paunova, R., Simeonova, D., Kandilarova, S., Stoyanov, D. A graph convolutional network for classification of resting-state fMRI data, , .

Pitsik, E., Kurkin, S., Hramov, A., Paunova, R., Simeonova, D., Kandilarova, S., Stoyanov, D. . A graph convolutional network for classification of resting-state fMRI data. : , .

Pitsik, E., Kurkin, S., Hramov, A., Paunova, R., Simeonova, D., Kandilarova, S., Stoyanov, D. () A graph convolutional network for classification of resting-state fMRI data, :

Pitsik, E., Kurkin, S., Hramov, A., Paunova, R., Simeonova, D., Kandilarova, S., & Stoyanov, D. (). A graph convolutional network for classification of resting-state fMRI data. Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022; Proceedings - 6th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2022.

A graph convolutional network for classification of resting-state fMRI data

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