Diverse task classification from activation patterns of functional neuro-images using feature fusion module

HIGHLIGHTS

• who: Osman Tayfun Biu015fkin and colleagues from the Department of Electrical and Electronics Engineering, Burdur Mehmet Akif Ersoy University, Burdur, Turkey have published the Article: Diverse Task Classification from Activation Patterns of Functional Neuro-Images Using Feature Fusion Module, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: After a comprehensive analysis of the pitfalls of existing systems on this new dataset the authors propose an automatic multitask classification (MTC) strategy using a feature fusion module (FFM). The authors show that FFM creates a feature space that is superior for representing . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.