17 citations · 22 across the 5 of their papers we have counts for
5 papers
EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task
Xiaoxiao Sun, Chongkun Zhao, Sharath Koorathota +1
Neural biomarkers that can classify or predict disease are of broad interest to the neurological and psychiatric communities. Such biomarkers can be informative of disease state or…
Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty
Sharath Koorathota, Nikolas Papadopoulos, Jia Li Ma +5
Vision Transformers (ViT) have advanced computer vision, yet their efficacy in complex tasks like driving remains less explored. This study enhances ViT by integrating human eye ga…
Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data
Sharath Koorathota, Arunesh Mittal, Richard P. Sloan +1
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. However…
Amark: Automated Marking and Processing Techniques for Ambulatory ECG Data
Sharath Koorathota, Richard P. Sloan
We describe techniques and specifications of MATLAB software to process ambulatory electrocardiogram (ECG) data. Through template-based beat identification and simple pattern recog…
AutoML using Metadata Language Embeddings
Iddo Drori, Lu Liu, Yi Nian +5
As a human choosing a supervised learning algorithm, it is natural to begin by reading a text description of the dataset and documentation for the algorithms you might use. We demo…