eLife

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
Northwestern's McCormick School of Engineering

Northwestern Computer Science at EC’26

Three Northwestern schools represented the University at the ACM Conference on Economics and Computation this month.
IEEE

Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty

Abstract: Deep-learning-based health prognostics is receiving ever-increasing attention. Most existing methods leverage advanced neural networks for prognostics performance improvement, providing ...
IEEE

Bayesian Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction

Abstract: This study introduces a novel approach that integrates dynamic Bayesian network with attention based spatio-temporal graph convolutional network to forecast railway train delays, capturing ...
The Lancet

Estimation of HIV prevalence and burden in Nigeria: a Bayesian predictive modelling study

dIBTCI, Global Health Technical Assistance and Mission Support Project (GH-TAMS), Washington, DC, United States eUnited States Agency for International Development, Bureau of Global Health, Office of ...