Clinical Trials | Digital Health | Statistics Considerations to address missing data when deriving clinical trial endpoints from digital health technologies. December 26, 2021
Machine Learning | Statistics Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures. December 24, 2021
Deep Learning | Machine Learning | Statistics Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models. November 19, 2021
Clinical Trials | Machine Learning | Public Health | Statistics Using supervised machine learning classifiers to estimate likelihood of participating in clinical trials of a de-identified version of ResearchMatch. May 5, 2021
Bioinformatics | Machine Learning | Statistics EPS: Automated Feature Selection in Case-Control Studies using Extreme Pseudo-Sampling. March 28, 2021
Health Informatics | Healthcare Economics | Statistics Feature Selection for Health Care Costs Prediction Using Weighted Evidential Regression. August 12, 2020
Data Science | Statistics Learning to learn from data: Using deep adversarial learning to construct optimal statistical procedures. March 13, 2020
Machine Learning | Statistics On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces. January 6, 2020
Epidemiology | Public Health | Statistics A comparison of machine learning algorithms for the surveillance of autism spectrum disorder. September 25, 2019
Machine Learning | Statistics Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network. June 13, 2019