Data-Driven Fine-Grained Epidemic Modeling via Graph Neural Networks

Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems

CONSchema: Schema matching with semantics and constraints

Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning

Pre-Training Graph Neural Networks for Data-Efficient Brain Network Analysis

Quantifying animal social behavior during pair bond formation

Overcoming Spatiotemporal Trade-offs in Calcium Imaging Using Deep Learning-based Dynamics Modeling

Framework for Spatial Health Analytics Using Digital Exhaust, Crowd-Source Data and Electronic Health Records

Disease Risk annotation of Genomic and Epigenomic Variants using Machine Learning Approaches