Classification of Information Display Types Using Graph Neural Networks-Reference-Cited by-同舟云学术

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Classification of Information Display Types Using Graph Neural Networks

Published:2023-12-13 Issue: Volume: Page:130-136
ISSN:
Container-title:2023 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
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Author:

Yin Yuehan¹,McGuire Michael P.²,Alqahtani Yahya³,Feng Jinjuan Heidi²,Chakraborty Joyram²

Affiliation:

1. La Salle University,Department of Mathematics and Computer Science,Philadelphia,PA,USA

2. Towson University,Department of Computer and Information Sciences,Towson,MD,USA

3. College of Computer Science and Information Technology, Jazan University,Jazan,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590067/10590000/10590250.pdf?arnumber=10590250

Reference22 articles.

1. A review of eye tracking for understanding and improving diagnostic interpretation

2. Usability Evaluation of Optimized Single-Pointer Arabic Keyboards Using Eye Tracking

3. Detecting readers with dyslexia using machine learning with eye tracking measures

4. Detecting High-Functioning Autism in Adults Using Eye Tracking and Machine Learning

5. Deep learning modelling techniques: current progress, applications, advantages, and challenges

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