Early Autism Disorder Detection Through Visualizing Eye-Tracking Patterns Using Compact Convolutional Transformers-Reference-Cited by-同舟云学术

Early Autism Disorder Detection Through Visualizing Eye-Tracking Patterns Using Compact Convolutional Transformers

Published:2023-05-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 9th International Conference on Computer Technology Applications
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Author:

Kabir Mehedi Md Humaion¹^ORCID,Arafin Irfana¹^ORCID,Md Hasib Khan²^ORCID,Rahman Farhin¹^ORCID,Alam Md. Mustakin³^ORCID,Tasin Rufaida¹^ORCID,Alim Rasel Annajiat¹^ORCID

Affiliation:

1. CSE, BRAC University, Bangladesh

2. CSE, BUBT University, Bangladesh

3. CSE, BRAC Univsersity, Bangladesh

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605423.3605429

Reference16 articles.

1. Machine Learning Model To Predict Autism Investigating Eye-Tracking Dataset

2. A American Psychiatric Association , American Psychiatric Association , 2013. Diagnostic and statistical manual of mental disorders: DSM-5. Vol. 10 . Washington, DC : American psychiatric association. A American Psychiatric Association, American Psychiatric Association, 2013. Diagnostic and statistical manual of mental disorders: DSM-5. Vol. 10. Washington, DC: American psychiatric association.

3. Visualization of Eye-Tracking Patterns in Autism Spectrum Disorder: Method and Dataset

4. Computer-Aided Screening of Autism Spectrum Disorder: Eye-Tracking Study Using Data Visualization and Deep Learning

5. Features-Enhanced Multi-Attribute Estimation with Convolutional Tensor Correlation Fusion Network

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