ML based Approaches for Detection and Development of Autism Spectrum Disorder: A Review
Author:
Affiliation:
1. Computer Engineering, Vivekanand Education Society's Institute Of Technology,Mumbai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9760735/9760712/09761040.pdf?arnumber=9761040
Reference12 articles.
1. Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network
2. Diagnosis of autism using an eye tracking system
3. Evaluation of Autism Classification Using Machine Learning Techniques
4. Deep Analysis of Autism Spectrum Disorder Detection Techniques.
5. An evaluation of identification of suspected autism spectrum disorder (ASD) cases in early intervention (EI) records
Cited by 4 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. Autism Spectrum Disorder (ASD) Screening and Detection using Machine Learning Techniques;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02
2. Determination and Diagnosis of Autism Spectrum Disorder using Efficient Machine Learning Algorithm;2023 3rd International Conference on Intelligent Technologies (CONIT);2023-06-23
3. DL-ASD: A Deep Learning Approach for Autism Spectrum Disorder;2022 5th International Conference on Contemporary Computing and Informatics (IC3I);2022-12-14
4. A Significant Improvement Approach Towards the Detection of Autism Spectrum Disorder using Data Sciences;2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA);2022-09-21
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