Learning Clusters in Autism Spectrum Disorder: Image-Based Clustering of Eye-Tracking Scanpaths with Deep Autoencoder-Reference-Cited by-同舟云学术

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Learning Clusters in Autism Spectrum Disorder: Image-Based Clustering of Eye-Tracking Scanpaths with Deep Autoencoder

Published:2019-07 Issue: Volume: Page:
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Container-title:2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

Elbattah Mahmoud,Carette Romuald,Dequen Gilles,Guerin Jean-Luc,Cilia Federica

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8844528/8856280/08856904.pdf?arnumber=8856904

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing autism prediction through visual-based AI approaches: integrating advanced eye movement analysis and shape recognition with Kalman filtering;The Visual Computer;2024-06-26

2. Using Machine Learning for Motion Analysis to Early Detect Autism Spectrum Disorder: A Systematic Review;Review Journal of Autism and Developmental Disorders;2024-03-02

3. Using visual attention estimation on videos for automated prediction of autism spectrum disorder and symptom severity in preschool children;PLOS ONE;2024-02-12

4. ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology;IET Computer Vision;2024-02-12

5. Exploring Sparse Gaussian Processes for Bayesian Optimization in Convolutional Neural Networks for Autism Classification;IEEE Access;2024

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