35 citations · 80 across the 7 of their papers we have counts for
4 papers · 1 filter
Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data to Predict Depression
Yiwen Meng, William Speier, Michael K. Ong +1
Advancements in machine learning algorithms have had a beneficial impact on representation learning, classification, and prediction models built using electronic health record (EHR…
Semi-supervised Learning using Adversarial Training with Good and Bad Samples
Wenyuan Li, Zichen Wang, Yuguang Yue +4
In this work, we investigate semi-supervised learning (SSL) for image classification using adversarial training. Previous results have illustrated that generative adversarial netwo…
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach
Wenyuan Li, Zichen Wang, Jiayun Li +3
Recently, semi-supervised learning methods based on generative adversarial networks (GANs) have received much attention. Among them, two distinct approaches have achieved competiti…
Semi-supervised Rare Disease Detection Using Generative Adversarial Network
Wenyuan Li, Yunlong Wang, Yong Cai +3
Rare diseases affect a relatively small number of people, which limits investment in research for treatments and cures. Developing an efficient method for rare disease detection is…