SVM and Logistic Regression for Facial Palsy Detection Utilizing Facial Landmark Features-Reference-Cited by-同舟云学术

SVM and Logistic Regression for Facial Palsy Detection Utilizing Facial Landmark Features

Published:2022-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing
language:
Short-container-title:

Author:

Arora Anuja¹,Sinha Anubhav¹,Bhansali Kaushal¹,Goel Rachit¹,Sharma Isha²,Jayal Ambikesh³

Affiliation:

1. Jaypee Institute of Information Technology, India

2. Senior Testing Engineer Save the Children International London, UK

3. School of Information Systems and Technology, University of Canberra, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3549206.3549216

Reference18 articles.

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2. paraFaceTest: an ensemble of regression tree-based facial features extraction for efficient facial paralysis classification

3. Joseph R Dusseldorp Martinus M van Veen Diego L Guarin Olivia Quatela Nate Jowett and Tessa A Hadlock. 2019. Spontaneity assessment in dually innervated gracilis smile reanimation surgery. JAMA facial plastic surgery(2019). Joseph R Dusseldorp Martinus M van Veen Diego L Guarin Olivia Quatela Nate Jowett and Tessa A Hadlock. 2019. Spontaneity assessment in dually innervated gracilis smile reanimation surgery. JAMA facial plastic surgery(2019).

4. Clinician and Automated Assessments of Facial Function Following Eyelid Weight Placement

5. Long-Term Outcomes of Free Gracilis Muscle Transfer for Smile Reanimation in Children

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