Discriminative Few Shot Learning of Facial Dynamics in Interview Videos for Autism Trait Classification

Author:

Zhang Na1,Ruan Mindi1,Wang Shuo2,Paul Lynn3,Li Xin1

Affiliation:

1. Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown WV 26506-6109

2. Department of Radiology, Washington University in St.Louis, 4525 Scott Ave, St. Louis, MO 63110

3. Division of the Humanities and Social Sciences, Caltech, 1200 E California Blvd, Pasadena, CA 91125

Funder

NSF

Air Force Office of Scientific Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Cited by 14 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. Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review;International Journal of Medical Informatics;2024-07

2. Autism Traits Detection in Toddlers: Enhanced Random Forest vs. Support Vector Machine;2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT);2024-03-15

3. A review of machine learning-based methods for automatically detecting autism spectrum disorder in children's faces;2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2023-12-27

4. A Novel Methodology to Identify Autism Disorder in Earlier Stages using Artificial Intelligence Assisted Hybrid Learning Scheme;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

5. Identification of ASD via Graph Convolutional Network with Visual Semantic Encoding of Saccade;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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