Showing 1 - 1 of 1 Research Library Publications
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| Erfan Khalaji, Sukru Eraslan, Yeliz Yesilada, Victoria Yaneva
Behavior & Information Technology
This study builds upon prior work in this area that focused on developing a machine-learning classifier trained on gaze data from web-related tasks to detect ASD in adults. Using the same data, we show that a new data pre-processing approach, combined with an exploration of the performance of different classification algorithms, leads to an increased classification accuracy compared to prior work.