Ronald D. Hagan

According to our database, Ronald D. Hagan authored at least 9 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2021

Molecular Subtyping and Outlier Detection in Human Disease Using the Paraclique Algorithm.

Ronald D. Hagan, Michael A. Langston

Algorithms, 2021

2020

Towards Controllability Analysis of Dynamic Networks Using Minimum Dominating Set.

Ronald D. Hagan, Stephen K. Grady, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019

Compound Analytics using Combinatorics for Feature Selection: A Case Study in Biomarker Detection.

Ronald D. Hagan, Brett D. Hagan, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Molecular Subtyping in Human Disease Using the Paraclique Algorithm.

Ronald D. Hagan, Michael A. Langston

Proceedings of the Database and Expert Systems Applications, 2019

2018

Classification and Anomaly Detection in Traffic Patterns of New York City Taxis: A Case Study in Compound Analytics.

Ronald D. Hagan, Charles A. Phillips, Michael A. Langston, Bradley J. Rhodes

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017

Compound Analytics: Templates for Integrating Graph Algorithms and Machine Learning.

Ronald D. Hagan, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Multiscale graph theoretical tools reveal subtle patterns in big geospatial data.

Ronald D. Hagan, Charles A. Phillips, Michael A. Langston, Bradley J. Rhodes

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Lower bounds on paraclique density.

Ronald D. Hagan, Michael A. Langston, Kai Wang

Discret. Appl. Math., 2016

2014

Toward an efficient, highly scalable maximum clique solver for massive graphs.

Ronald D. Hagan, Charles A. Phillips, Kai Wang, Gary L. Rogers, Michael A. Langston

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014