The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
IEEE

An Adaptive Selection Strategy for Runoff Prediction Models Based on Reinforcement Learning

Abstract: This study proposes an adaptive selection method for hydrological runoff prediction models based on reinforcement learning(RL), specifically using the deep Q learning(DQN) algorithm. This ...
IEEE

Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments

Abstract: We present a novel data-driven Parametric Linear Blend Skinning (PLBS) model meticulously crafted for generalized 3D garment dressing and animation. Previous data-driven methods are impeded ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA: a multicentre study

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance the accuracy of the prediction of progression to death in DCD donors and ...