A scalable algorithm for dispersing population. - Sathish Govindarajan; Michael C. Dietze; Pankaj K. Agarwal; James S. Clark (J. Intell. Inf. Syst., 2007)

Sub-daily Statistical Downscaling of Meteorological Variables Using Neural Networks. - Jitendra Kumar 001; Bjørn-Gustaf J. Brooks; Peter E. Thornton; Michael C. Dietze (ICCS, 2012)

Translating Probability Density Functions: From R to BUGS and Back Again. - S. Lebauer David; Michael C. Dietze; Benjamin M. Bolker (R J., 2013)

Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE. - Doug James; Nancy Wilkins-Diehr; Victoria Stodden; Dirk Colbry; Carlos Rosales; Mark R. Fahey; Justin Shi; Rafael Ferreira da Silva; Kyo Lee; Ralph Roskies; Laurence Loewe; Susan Lindsey; et al. (CoRR, 2014)

Autocuration Cyberinfrastructure for Scientific Discovery and Preservation. - Smruti Padhy; Edgar F. Black; Betsy Cowdery; Liana Diesendruck; Michael C. Dietze; Greg Jansen; Rob Kooper; Praveen Kumar 002; Jong Lee; Rui Liu; Richard Marciano; Luigi Marini; et al. (e-Science, 2015)

An Architecture for Automatic Deployment of Brown Dog Services at Scale into Diverse Computing Infrastructures. - Smruti Padhy; Jay Alameda; Rob Kooper; Rui Liu; Sandeep Puthanveetil Satheesan; Inna Zharnitsky; Gregory Jansen; Michael C. Dietze; Praveen Kumar 002; Jong Lee; Richard Marciano; Luigi Marini; et al. (XSEDE, 2016)

Brown Dog: Making the Digital World a Better Place, a Few Files at a Time. - Sandeep Puthanveetil Satheesan; Jay Alameda; Shannon Bradley; Michael C. Dietze; Benjamin Galewsky; Gregory Jansen; Rob Kooper; Praveen Kumar 002; Jong Lee; Richard Marciano; Luigi Marini; Barbara S. Minsker; et al. (PEARC, 2018)

A Statistical Model for Estimating Midday NDVI from the Geostationary Operational Environmental Satellite (GOES) 16 and 17. - Kathryn I. Wheeler; Michael C. Dietze (Remote. Sens., 2019)