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Automatic Autism Spectrum Disorder Detection Thanks to Eye-Tracking and Neural Network-Based Approach.

, , , , , and . HealthyIoT, volume 225 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 75-81. Springer, (2017)

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Visualization of Eye-Tracking Patterns in Autism Spectrum Disorder: Method and Dataset., , , , and . ICDIM, page 248-253. IEEE, (2018)Generative Modeling of Synthetic Eye-tracking Data: NLP-based Approach with Recurrent Neural Networks., , , , and . IJCCI, page 479-484. SCITEPRESS, (2020)Automatic Autism Spectrum Disorder Detection Thanks to Eye-Tracking and Neural Network-Based Approach., , , , , and . HealthyIoT, volume 225 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 75-81. Springer, (2017)Variational Autoencoder for Image-Based Augmentation of Eye-Tracking Data., , , , , and . J. Imaging, 7 (5): 83 (2021)NLP-Based Approach to Detect Autism Spectrum Disorder in Saccadic Eye Movement., , , , and . SSCI, page 1581-1587. IEEE, (2020)Learning Clusters in Autism Spectrum Disorder: Image-Based Clustering of Eye-Tracking Scanpaths with Deep Autoencoder., , , , and . EMBC, page 1417-1420. IEEE, (2019)Vision-based Approach for Autism Diagnosis using Transfer Learning and Eye-tracking., , , , and . HEALTHINF, page 256-263. SCITEPRESS, (2022)Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths., , , , , and . HEALTHINF, page 103-112. SciTePress, (2019)978-989-758-353-7.