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Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers
We find that the ViT performance is improved in accuracy and number of training epochs when using JSF and FAX.
Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data
Cognition in midlife is an important predictor of age-related mental decline and statistical models that predict cognitive performance can be useful for predicting decline.
Amark: Automated Marking and Processing Techniques for Ambulatory ECG Data
We describe techniques and specifications of MATLAB software to process ambulatory electrocardiogram (ECG) data.
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