14 citations · 15 across the 4 of their papers we have counts for
4 papers
Representing Outcome-driven Higher-order Dependencies in Graphs of Disease Trajectories
Steven J. Krieg, Nitesh V. Chawla, Keith Feldman
The widespread application of machine learning techniques to biomedical data has produced many new insights into disease progression and improving clinical care. Inspired by the fl…
Deep Ensembles for Graphs with Higher-order Dependencies
Steven J. Krieg, William C. Burgis, Patrick M. Soga +1
Graph neural networks (GNNs) continue to achieve state-of-the-art performance on many graph learning tasks, but rely on the assumption that a given graph is a sufficient approximat…
Predicting Terrorist Attacks in the United States using Localized News Data
Steven J. Krieg, Christian W. Smith, Rusha Chatterjee +1
Terrorism is a major problem worldwide, causing thousands of fatalities and billions of dollars in damage every year. Toward the end of better understanding and mitigating these at…
Pandemic Pulse: Unraveling and Modeling Social Signals during the COVID-19 Pandemic
Steven J. Krieg, Jennifer J. Schnur, Jermaine D. Marshall +2
We present and begin to explore a collection of social data that represents part of the COVID-19 pandemic's effects on the United States. This data is collected from a range of sou…