1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge
Prithwish Chakraborty, James Codella, Piyush Madan +22
Deep learning architectures have an extremely high-capacity for modeling complex data in a wide variety of domains. However, these architectures have been limited in their ability…
cs.LG2020★ 1 cited
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
Yiqin Yu, Xu Min, Shiwan Zhao +5
In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions. At the s…
cs.LG2018
A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations
Xi Sheryl Zhang, Dandi Chen, Yongjun Zhu +5
This paper presents details of our winning solutions to the task IV of NIPS 2017 Competition Track entitled Classifying Clinically Actionable Genetic Mutations. The machine learnin…