Fairness-Aware Multimodal Learning in Automatic Video Interview Assessment-Reference-Cited by-同舟云学术

Fairness-Aware Multimodal Learning in Automatic Video Interview Assessment

Author:

Kim Changwoo¹^ORCID,Choi Jinho²^ORCID,Yoon Jongyeon³^ORCID,Yoo Daehun²,Lee Woojin⁴^ORCID

Affiliation:

1. Department of Artificial Intelligence, Dongguk University, Jung-gu, Seoul, South Korea

2. Genesis Laboratory, Jung-gu, Seoul, South Korea

3. Department of Statistics, Dongguk University, Jung-gu, Seoul, South Korea

4. College of AI Convergence, Dongguk University, Jung-gu, Seoul, South Korea

Funder

Genesis Laboratory Company

National Research Foundation of Korea

Korean Government through the Ministry of Science and Information and Communications Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference49 articles.

1. Towards principled methods for training generative adversarial networks;arjovsky;arXiv 1701 04862,2017

4. Wasserstein generative adversarial networks;arjovsky;Proc Int Conf Mach Learn,2017

5. Optimized pre-processing for discrimination prevention;calmon;Proc Adv Neural Inf Process Syst,2017

Cited by 2 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

2. A Research Model For Automated Prediction And Analysis Of Job Interview Performance;2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT);2024-04-19