2 papers
cs.CV2021
Edge-Labeling based Directed Gated Graph Network for Few-shot Learning
Peixiao Zheng, Xin Guo, Lin Qi
Existing graph-network-based few-shot learning methods obtain similarity between nodes through a convolution neural network (CNN). However, the CNN is designed for image data with…
cs.LG2020
Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks
Deyin Liu, Lin Wu, Xue Li
In this paper, we present an effective deep prediction framework based on robust recurrent neural networks (RNNs) to predict the likely therapeutic classes of medications a patient…