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 (Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, 2023)

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)

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

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

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)

EDA and ML - A Perfect Pair for Large-Scale Data Analysis - Ryan Hafen; Terence Critchlow (2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, Cambridge, MA, USA, May 20-24, 2013, 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 (IEEE Symposium on Large-Scale Data Analysis and Visualization, LDAV 2013, 13-14 October, 2013, Atlanta, Georgia, USA, 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, Networking and Analytics for the Power Grid, HiPCNA-PG '13, Denver, Colorado, USA, November 17-22, 2013, 2013)

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

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 (IEEE Symposium on Large Data Analysis and Visualization, LDAV 2011, Providence, Rhode Island, USA, 23-24 October, 2011, 2011)

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)

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)

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, AISTATS 2009, Clearwater Beach, Florida, USA, April 16-18, 2009, 2009)

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 (3rd IEEE Symposium on Visual Analytics Science and Technology, IEEE VAST 2008, Columbus, OH, USA, October 19-24, 2008, 2008)