Semi-supervised multi-instance interpretable models for flu shot adverse event detection
It is important to track adverse events that occur due to flu shots as those could pose a
serious threat to public health. Traditional adverse event reporting systems suffer from poor …
serious threat to public health. Traditional adverse event reporting systems suffer from poor …
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction
T Wang, G Wang, KE Tan - … Symposium, ISVC 2021, Virtual Event, October …, 2021 - Springer
Convolutional neural networks (CNN) have made significant advances in detecting roads
from satellite images. However, existing CNN approaches are generally repurposed …
from satellite images. However, existing CNN approaches are generally repurposed …
[PDF][PDF] Semi-supervised Multi-instance Learning for Flu Shot Adverse Event Detection
It is important to track adverse events that occur due to flu shots as those could pose a
serious threat to public health. Traditional adverse event reporting systems suffer from poor …
serious threat to public health. Traditional adverse event reporting systems suffer from poor …