Ryan Hafen

13 papers A 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2023 — conf
Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis.
GECCO Companion
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
2020 J jnl
osfr: An R Interface to the Open Science Framework.
J. Open Source Softw.
Aaron Wolen, Chris Hartgerink, Ryan Hafen, Brian Richards, Courtney Soderberg, Timothy York
2016 — ch.
Divide and Recombine: Approach for Detailed Analysis and Visualization of Large Complex Data.
Handbook of Big Data
Ryan Hafen
2014 J jnl
Divide and recombine (D&R): Data science for large complex data.
Stat. Anal. Data Min.
William S. Cleveland, Ryan Hafen
2013 J jnl
Automated Box-Cox Transformations for Improved Visual Encoding.
IEEE Trans. Vis. Comput. Graph.
Ross Maciejewski, Avin Pattath, Sungahn Ko, Ryan Hafen, William S. Cleveland, David S. Ebert
2013 — conf
EDA and ML - A Perfect Pair for Large-Scale Data Analysis.
IPDPS Workshops
Ryan Hafen, Terence Critchlow
2013 — conf
Large-scale exploratory analysis, cleaning, and modeling for event detection in real-world power systems data.
HiPCNA-PG@SC
Ryan Hafen, Tara D. Gibson, Kerstin Kleese van Dam, Terence Critchlow
2013 — conf
Trelliscope: A system for detailed visualization in the deep analysis of large complex data.
LDAV
Ryan Hafen, Luke J. Gosink, Jason E. McDermott, Karin Rodland, Kerstin Kleese van Dam, William S. Cleveland
2011 J jnl
Forecasting Hotspots - A Predictive Analytics Approach.
IEEE Trans. Vis. Comput. Graph.
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, Stephen G. Larew, Michael A. Mitchell, William S. Cleveland, David S. Ebert
2010 J jnl
A Visual Analytics Approach to Understanding Spatiotemporal Hotspots.
IEEE Trans. Vis. Comput. Graph.
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, David S. Ebert
2009 J jnl
Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques.
IEEE Computer Graphics and Applications
Ross Maciejewski, Ryan Hafen, Stephen Rudolph, George Tebbetts, William S. Cleveland, Shaun J. Grannis, David S. Ebert
2009 A conf
Visualization Databases for the Analysis of Large Complex Datasets.
AISTATS
Saptarshi Guha, Paul Kidwell, Ryan Hafen, William S. Cleveland
2008 — conf
Understanding syndromic hotspots - a visual analytics approach.
IEEE VAST
Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, Michael Wade, David S. Ebert