Self-Supervised Fusion for Multi-Modal Medical Images via Contrastive Auto-En…

This paper proposes a self-supervised framework based on a contrastive auto-encoding and convolutional information exchange for multi-modal medical fusion tasks. It is well known that multi-modal m…

Unified Principal Component Analysis for Sparse and Dense Functional Data und…

We consider spatially dependent functional data collected under a geostatistics setting, where locations are sampled from a spatial point process. The functional response is the sum of a spatially …

Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixt…

Severe air pollution affects billions of people around the world, particularly in developing countries such as China. Effective emission control policies rely primarily on a proper assessment of ai…

Random Forest Prediction Intervals

Random forests are among the most popular machine learning techniques for prediction problems. When using random forests to predict a quantitative response, an important but often overlooked challe…

Grain Boundary Triple Junction Dynamics: A Continuum Disconnection Model