In this study, we introduce a measure for machine perception, inspired b...
One way of designing a robust machine learning algorithm is to generate
...
The problem of detecting the presence of Social Anxiety Disorder (SAD) u...
Complex problem solving is a high level cognitive process which has been...
In this study, we propose a neural network approach to capture the funct...
The main goal of this study is to extract a set of brain networks in mul...
In recent years, machine learning techniques based on neural networks fo...
In this work, we propose a novel framework to encode the local connectiv...
In this paper, we propose a novel finetuning algorithm for the recently
...
We represent the sequence of fMRI (Functional Magnetic Resonance Imaging...
A new segmentation fusion method is proposed that ensembles the output o...
Functional magnetic resonance imaging produces high dimensional data, wi...
We propose a statistical learning model for classifying cognitive proces...
A relatively recent advance in cognitive neuroscience has been multi-vox...