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Nina Thigpen

2 accepted papers

2021

Representation learning for improved interpretability and classification accuracy of clinical factors from EEG

ICLR 2021poster

Despite extensive standardization, diagnostic interviews for mental health disorders encompass substantial subjective judgment. Previous studies have demonstrated that EEG-based neural measures can function as reliable objective correlates of depression, or even predictors of depression and its cour…

Cited by 16SourcePDFScholar
2016

Predicting visual attention using gamma kernels

ICASSP 2016accepted

Saliency measures are a popular way to predict visual attention. However, saliency is normally tested on sets of single resolution images that are unlike what the human vision system sees. We propose a new saliency measure based on convolving images with 2D gamma kernels which function as a comparis…

Cited by 0SourceScholar