Autism Spectrum Self-Stimulatory Behaviors Classification Using Explainable Temporal Coherency Deep Features and SVM Classifier

Author:

Liang ShuaibingORCID,Sabri Aznul Qalid MdORCID,Alnajjar FadyORCID,Loo Chu KiongORCID

Funder

Fundamental Research Grant Scheme

Asian Universities Alliance (AUA)-The United Arab Emirates University (UAEU) Joint Research

Covid-19 Special Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 27 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. Impact of Machine Learning and Deep Learning Techniques in Autism;Advances in Medical Technologies and Clinical Practice;2024-05-31

2. Analysis of Autism Spectrum Disorder Prediction using various Machine Learning Models;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

3. Enhancing ASD classification through hybrid attention-based learning of facial features;Signal, Image and Video Processing;2024-04-21

4. An Effective Machine Learning Model to Detect and Analyze the Autism Spectrum Disorder;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17

5. Revolutionizing Autism Spectrum Disorder Diagnosis: Harnessing the Power of Machine Learning and MRI for Enhanced Neurodevelopmental Care;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

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