Booth, Brandon M., Hickman, Louis, Subburaj, Shree Krishna, Tay, Louis, Woo, Sang Eun, and D'Mello, Sidney K. Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews. Retrieved from https://par.nsf.gov/biblio/10381212. Proceedings of the 2021 International Conference on Multimodal Interaction, . Web. doi:10.1145/3462244.3479897.

Booth, Brandon M., Hickman, Louis, Subburaj, Shree Krishna, Tay, Louis, Woo, Sang Eun, & D'Mello, Sidney K. Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews. Proceedings of the 2021 International Conference on Multimodal Interaction,, (). Retrieved from https://par.nsf.gov/biblio/10381212. https://doi.org/10.1145/3462244.3479897

Booth, Brandon M., Hickman, Louis, Subburaj, Shree Krishna, Tay, Louis, Woo, Sang Eun, and D'Mello, Sidney K. "Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews". Proceedings of the 2021 International Conference on Multimodal Interaction, (). Country unknown/Code not available. https://doi.org/10.1145/3462244.3479897. https://par.nsf.gov/biblio/10381212.

@article{osti_10381212,
place = {Country unknown/Code not available}, title = {Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews}, url = {https://par.nsf.gov/biblio/10381212}, DOI = {10.1145/3462244.3479897}, abstractNote = {}, journal = {Proceedings of the 2021 International Conference on Multimodal Interaction,}, author = {Booth, Brandon M. and Hickman, Louis and Subburaj, Shree Krishna and Tay, Louis and Woo, Sang Eun and D'Mello, Sidney K.}, }