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pro vyhledávání: '"Park, Soojin"'
Autor:
Liu, Darren, Ding, Cheng, Bold, Delgersuren, Bouvier, Monique, Lu, Jiaying, Shickel, Benjamin, Jabaley, Craig S., Zhang, Wenhui, Park, Soojin, Young, Michael J., Wainwright, Mark S., Clermont, Gilles, Rashidi, Parisa, Rosenthal, Eric S., Dimisko, Laurie, Xiao, Ran, Yoon, Joo Heung, Yang, Carl, Hu, Xiao
The field of healthcare has increasingly turned its focus towards Large Language Models (LLMs) due to their remarkable performance. However, their performance in actual clinical applications has been underexplored. Traditional evaluations based on qu
Externí odkaz:
http://arxiv.org/abs/2401.13588
A key objective of decomposition analysis is to identify a factor (the 'mediator') contributing to disparities in an outcome between social groups. In decomposition analysis, a scholarly interest often centers on estimating how much the disparity (e.
Externí odkaz:
http://arxiv.org/abs/2205.13127
Causal decomposition analysis provides a way to identify mediators that contribute to health disparities between marginalized and non-marginalized groups. In particular, the degree to which a disparity would be reduced or remain after intervening on
Externí odkaz:
http://arxiv.org/abs/2109.06940
In the field of disparities research, there has been growing interest in developing a counterfactual-based decomposition analysis to identify underlying mediating mechanisms that help reduce disparities in populations. Despite rapid development in th
Externí odkaz:
http://arxiv.org/abs/2008.12812
Autor:
Dounas-Frazer, Dimitri R., Johnson, Kimme S., Park, Soojin E., Stanley, Jacob T., Lewandowski, H. J.
We report results from a study designed to identify links between undergraduate students' views about experimental physics and their engagement in multiweek projects in lab courses. Using surveys and interviews, we explored whether students perceived
Externí odkaz:
http://arxiv.org/abs/2008.11044
Most objects in the visual world are partially occluded, but humans can recognize them without difficulty. However, it remains unknown whether object recognition models like convolutional neural networks (CNNs) can handle real-world occlusion. It is
Externí odkaz:
http://arxiv.org/abs/1905.04598