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 (IEEE VAST, 2008)

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)

Visualization Databases for the Analysis of Large Complex Datasets. - Saptarshi Guha; Paul Kidwell; Ryan Hafen; William S. Cleveland (AISTATS, 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)

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)

Atypical behavior identification in large-scale network traffic. - Daniel M. Best; Ryan P. Hafen; Bryan K. Olsen; William A. Pike (LDAV, 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)

Speech information retrieval: a review. - Ryan P. Hafen; Michael J. Henry (Multim. Syst., 2012)

EDA and ML - A Perfect Pair for Large-Scale Data Analysis. - Ryan Hafen; Terence Critchlow (IPDPS Workshops, 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 (LDAV, 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 (HiPCNA-PG@SC, 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)

Divide and recombine (D&R): Data science for large complex data. - William S. Cleveland; Ryan Hafen (Stat. Anal. Data Min., 2014)

Divide and Recombine: Approach for Detailed Analysis and Visualization of Large Complex Data. - Ryan Hafen (Handbook of Big Data, 2016)

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)

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 (GECCO Companion, 2023)