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Ryan Hafen
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2020 – today
- 2023
- [c7]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:
Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis. GECCO Companion 2023: 727-730 - 2020
- [j8]Aaron Wolen, Chris Hartgerink, Ryan Hafen, Brian Richards, Courtney Soderberg, Timothy York:
osfr: An R Interface to the Open Science Framework. J. Open Source Softw. 5(46): 2071 (2020)
2010 – 2019
- 2016
- [p1]Ryan Hafen:
Divide and Recombine: Approach for Detailed Analysis and Visualization of Large Complex Data. Handbook of Big Data 2016: 35-46 - 2014
- [j7]William S. Cleveland, Ryan Hafen:
Divide and recombine (D&R): Data science for large complex data. Stat. Anal. Data Min. 7(6): 425-433 (2014) - 2013
- [j6]Ross Maciejewski, Avin Pattath, Sungahn Ko, Ryan Hafen, William S. Cleveland, David S. Ebert:
Automated Box-Cox Transformations for Improved Visual Encoding. IEEE Trans. Vis. Comput. Graph. 19(1): 130-140 (2013) - [c6]Ryan Hafen, Terence Critchlow:
EDA and ML - A Perfect Pair for Large-Scale Data Analysis. IPDPS Workshops 2013: 1894-1898 - [c5]Ryan Hafen, Luke J. Gosink, Jason E. McDermott, Karin Rodland, Kerstin Kleese van Dam, William S. Cleveland:
Trelliscope: A system for detailed visualization in the deep analysis of large complex data. LDAV 2013: 105-112 - [c4]Ryan Hafen, Tara D. Gibson, Kerstin Kleese van Dam, Terence Critchlow:
Large-scale exploratory analysis, cleaning, and modeling for event detection in real-world power systems data. HiPCNA-PG@SC 2013: 4:1-4:9 - 2012
- [j5]Ryan P. Hafen, Michael J. Henry:
Speech information retrieval: a review. Multim. Syst. 18(6): 499-518 (2012) - 2011
- [j4]Ross Maciejewski, Ryan Hafen, Stephen Rudolph, Stephen G. Larew, Michael A. Mitchell, William S. Cleveland, David S. Ebert:
Forecasting Hotspots - A Predictive Analytics Approach. IEEE Trans. Vis. Comput. Graph. 17(4): 440-453 (2011) - [c3]Daniel M. Best, Ryan P. Hafen, Bryan K. Olsen, William A. Pike:
Atypical behavior identification in large-scale network traffic. LDAV 2011: 15-22 - 2010
- [j3]Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, David S. Ebert:
A Visual Analytics Approach to Understanding Spatiotemporal Hotspots. IEEE Trans. Vis. Comput. Graph. 16(2): 205-220 (2010)
2000 – 2009
- 2009
- [j2]Ross Maciejewski, Ryan Hafen, Stephen Rudolph, George Tebbetts, William S. Cleveland, Shaun J. Grannis, David S. Ebert:
Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques. IEEE Computer Graphics and Applications 29(3): 18-28 (2009) - [j1]Ryan P. Hafen, David E. Anderson, William S. Cleveland, Ross Maciejewski, David S. Ebert, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, Shaun J. Grannis:
Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts. BMC Medical Informatics Decis. Mak. 9: 21 (2009) - [c2]Saptarshi Guha, Paul Kidwell, Ryan Hafen, William S. Cleveland:
Visualization Databases for the Analysis of Large Complex Datasets. AISTATS 2009: 193-200 - 2008
- [c1]Ross Maciejewski, Stephen Rudolph, Ryan Hafen, Ahmad M. Abusalah, Mohamed Yakout, Mourad Ouzzani, William S. Cleveland, Shaun J. Grannis, Michael Wade, David S. Ebert:
Understanding syndromic hotspots - a visual analytics approach. IEEE VAST 2008: 35-42
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