48 citations · 89 across the 7 of their papers we have counts for
4 papers · 1 filter
LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management
Jeremy Beauchamp, Razvan Bunescu, Cindy Marling +2
To avoid serious diabetic complications, people with type 1 diabetes must keep their blood glucose levels (BGLs) as close to normal as possible. Insulin dosages and carbohydrate co…
Mining Functionally Related Genes with Semi-Supervised Learning
Kaiyu Shen, Razvan Bunescu, Sarah E. Wyatt
The study of biological processes can greatly benefit from tools that automatically predict gene functions or directly cluster genes based on shared functionality. Existing data mi…
Distributed representation of patients and its use for medical cost prediction
Xianlong Zeng, Soheil Moosavinasab, En-Ju D Lin +3
Efficient representation of patients is very important in the healthcare domain and can help with many tasks such as medical risk prediction. Many existing methods, such as diagnos…
Training Ensembles to Detect Adversarial Examples
Alexander Bagnall, Razvan Bunescu, Gordon Stewart
We propose a new ensemble method for detecting and classifying adversarial examples generated by state-of-the-art attacks, including DeepFool and C&W. Our method works by training…