output
20182021
most citedStageNet: Stage-Aware Neural Networks for Health Risk Prediction

79 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 3 cited

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos +3

Accurate prediction of the transmission of epidemic diseases such as COVID-19 is crucial for implementing effective mitigation measures. In this work, we develop a tensor method to…

cs.LG2020★ 13 cited

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification

Rakshith S Srinivasa, Cao Xiao, Lucas Glass +2

The attention mechanism has demonstrated superior performance for inference over nodes in graph neural networks (GNNs), however, they result in a high computational burden during b…

cs.LG2020

CLARA: Clinical Report Auto-completion

Siddharth Biswal, Cao Xiao, Lucas M. Glass +2

Generating clinical reports from raw recordings such as X-rays and electroencephalogram (EEG) is an essential and routine task for doctors. However, it is often time-consuming to w…

eess.SP2020★ 15 cited

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild

Rahul Duggal, Scott Freitas, Cao Xiao +2

In recent years, significant attention has been devoted towards integrating deep learning technologies in the healthcare domain. However, to safely and practically deploy deep lear…

cs.LG2020★ 79 cited

StageNet: Stage-Aware Neural Networks for Health Risk Prediction

Junyi Gao, Cao Xiao, Yasha Wang +3

Deep learning has demonstrated success in health risk prediction especially for patients with chronic and progressing conditions. Most existing works focus on learning disease Netw…