Michael C. Dietze

According to our database, Michael C. Dietze authored at least 8 papers between 2007 and 2019.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2019

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

2018

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, Jong Lee, Richard Marciano, Luigi Marini, Barbara S. Minsker, Christopher M. Navarro, Arthur Schmidt, Marcus Slavenas, William C. Sullivan, Bing Zhang, Yan Zhao, Inna Zharnitsky, Kenton McHenry

Proceedings of the Practice and Experience on Advanced Research Computing, 2018

2016

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, Jong Lee, Richard Marciano, Luigi Marini, Barbara S. Minsker, Chris Navarro, Marcus Slavenas, William C. Sullivan, Kenton McHenry

Proceedings of the XSEDE16 Conference on Diversity, 2016

2015

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, Jong Lee, Rui Liu, Richard Marciano, Luigi Marini, Dave Mattson, Barbara S. Minsker, Chris Navarro, Ankit Rai, Marcus Slavenas, William C. Sullivan, Jason Votava, Qina Yan, Inna Zharnitsky, Kenton McHenry

Proceedings of the 11th IEEE International Conference on e-Science, 2015

2014

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, Rob Kooper, Lorena A. Barba, David H. Bailey, Jonathan M. Borwein, Óscar Corcho, Ewa Deelman, Michael C. Dietze, Benjamin Gilbert, Jan Harkes, Seth Keele, Praveen Kumar, Jong Lee, Erika Linke, Richard Marciano, Luigi Marini, Chris Mattmann, Dave Mattson, Kenton McHenry, Robert T. McLay, Sheila Miguez, Barbara S. Minsker, María S. Pérez-Hernández, Dan Ryan, Mats Rynge, Idafen Santana-Pérez, Mahadev Satyanarayanan, Gloriana St. Clair, Keith Webster, Eivind Hovig, Daniel S. Katz, Sophie Kay, Geir Kjetil Sandve, David Skinner, Gabrielle Allen, John Cazes, Kym Won Cho, Jim Fonseca, Lorraine J. Hwang, Lars Koesterke, Pragnesh Patel, Line Pouchard, Edward Seidel, Isuru Suriarachchi

CoRR, 2014

2013

Translating Probability Density Functions: From R to BUGS and Back Again.

S. Lebauer David, Michael C. Dietze, Benjamin M. Bolker

R J., 2013

2012

Sub-daily Statistical Downscaling of Meteorological Variables Using Neural Networks.

Jitendra Kumar, Bjørn-Gustaf J. Brooks, Peter E. Thornton, Michael C. Dietze

Proceedings of the International Conference on Computational Science, 2012

2007

A scalable algorithm for dispersing population.

Sathish Govindarajan, Michael C. Dietze, Pankaj K. Agarwal, James S. Clark

J. Intell. Inf. Syst., 2007