Ryan Hafen

According to our database, Ryan Hafen authored at least 16 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis.

Piotr Kaszuba, Andrew Turner, Bartosz Mikulski, Nl Shasha Jumbe, Andreas Schuh, Michael Morimoto, Peter Rexelius, Ryan Hafen, Ron Deiotte, Kevin Hammond, Jerry Swan, Krzysztof Krawiec

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2020

osfr: An R Interface to the Open Science Framework.

Aaron Wolen, Chris Hartgerink, Ryan Hafen, Brian Richards, Courtney Soderberg, Timothy York

J. Open Source Softw., 2020

2016

Divide and Recombine: Approach for Detailed Analysis and Visualization of Large Complex Data.

Ryan Hafen

Proceedings of the Handbook of Big Data., 2016

2014

Divide and recombine (D&R): Data science for large complex data.

William S. Cleveland, Ryan Hafen

Stat. Anal. Data Min., 2014

2013

Automated Box-Cox Transformations for Improved Visual Encoding.

Ross Maciejewski, Avin Pattath, Sungahn Ko, Ryan Hafen, William S. Cleveland, David S. Ebert

IEEE Trans. Vis. Comput. Graph., 2013

Large-scale exploratory analysis, cleaning, and modeling for event detection in real-world power systems data.

Ryan Hafen, Tara D. Gibson, Kerstin Kleese van Dam, Terence Critchlow

Proceedings of the 3rd International Workshop on High Performance Computing, 2013

Trelliscope: A system for detailed visualization in the deep analysis of large complex data.

Ryan Hafen, Luke J. Gosink, Jason E. McDermott, Karin Rodland, Kerstin Kleese van Dam, William S. Cleveland

Proceedings of the IEEE Symposium on Large-Scale Data Analysis and Visualization, 2013

EDA and ML - A Perfect Pair for Large-Scale Data Analysis.

Ryan Hafen, Terence Critchlow

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2012

Speech information retrieval: a review.

Ryan P. Hafen, Michael J. Henry

Multim. Syst., 2012

2011

Forecasting Hotspots - A Predictive Analytics Approach.

Ross Maciejewski, Ryan Hafen, Stephen Rudolph, Stephen G. Larew, Michael A. Mitchell, William S. Cleveland, David S. Ebert

IEEE Trans. Vis. Comput. Graph., 2011

Atypical behavior identification in large-scale network traffic.

Daniel M. Best, Ryan P. Hafen, Bryan K. Olsen, William A. Pike

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

2010

A Visual Analytics Approach to Understanding Spatiotemporal Hotspots.

Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, David S. Ebert

IEEE Trans. Vis. Comput. Graph., 2010

2009

Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts.

Ryan P. Hafen, David E. Anderson, William S. Cleveland, Ross Maciejewski, David S. Ebert, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, Shaun J. Grannis

BMC Medical Informatics Decis. Mak., 2009

Visualization Databases for the Analysis of Large Complex Datasets.

Saptarshi Guha, Paul Kidwell, Ryan Hafen, William S. Cleveland

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques.

Ross Maciejewski, Ryan Hafen, Stephen Rudolph, George Tebbetts, William S. Cleveland, Shaun J. Grannis, David S. Ebert

IEEE Computer Graphics and Applications, 2009

2008

Understanding syndromic hotspots - a visual analytics approach.

Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, Michael Wade, David S. Ebert

Proceedings of the 3rd IEEE Symposium on Visual Analytics Science and Technology, 2008