Outputs (2)

Computer-aided screening of autism spectrum disorder: Eye-tracking study using data visualization and deep learning (2021)
Journal Article

Background: The early diagnosis of autism spectrum disorder (ASD) is highly desirable but remains a challenging task, which requires a set of cognitive tests and hours of clinical examinations. In addition, variations of such symptoms exist, which ca... Read More about Computer-aided screening of autism spectrum disorder: Eye-tracking study using data visualization and deep learning.

Variational autoencoder for image-based augmentation of eye-tracking data (2021)
Journal Article

Over the past decade, deep learning has achieved unprecedented successes in a diversity of application domains, given large-scale datasets. However, particular domains, such as healthcare, inherently suffer from data paucity and imbalance. Moreover,... Read More about Variational autoencoder for image-based augmentation of eye-tracking data.