Ronald D. Hagan

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 8

Top Topics

Geospatial Data

Outlier Detection

Traffic Patterns

Top Venues

IPDPS Workshops

Discret. Appl. Math.

Publications

Ronald D. Hagan, Michael A. Langston
Molecular Subtyping and Outlier Detection in Human Disease Using the Paraclique Algorithm. Algorithms 14 (2) (2021)
Ronald D. Hagan, Stephen K. Grady, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston
Towards Controllability Analysis of Dynamic Networks Using Minimum Dominating Set. FUSION (2020)
Ronald D. Hagan, Brett D. Hagan, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston
Compound Analytics using Combinatorics for Feature Selection: A Case Study in Biomarker Detection. IPDPS Workshops (2019)
Ronald D. Hagan, Michael A. Langston
Molecular Subtyping in Human Disease Using the Paraclique Algorithm. DEXA Workshops (2019)
Ronald D. Hagan, Charles A. Phillips, Michael A. Langston, Bradley J. Rhodes
Classification and Anomaly Detection in Traffic Patterns of New York City Taxis: A Case Study in Compound Analytics. IPDPS Workshops (2018)
Ronald D. Hagan, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston
Compound Analytics: Templates for Integrating Graph Algorithms and Machine Learning. IPDPS Workshops (2017)
Ronald D. Hagan, Charles A. Phillips, Michael A. Langston, Bradley J. Rhodes
Multiscale graph theoretical tools reveal subtle patterns in big geospatial data. IEEE BigData (2017)
Ronald D. Hagan, Michael A. Langston, Kai Wang
Lower bounds on paraclique density. Discret. Appl. Math. 204 (2016)
Ronald D. Hagan, Charles A. Phillips, Kai Wang, Gary L. Rogers, Michael A. Langston
Toward an efficient, highly scalable maximum clique solver for massive graphs. IEEE BigData (2014)