Automated detection of solar radio burst and plasma structure observed with WIND/WAVES. - Nimmi C. Parikh; Michael L. Rilee (IGARSS, 2002)

Progressive Autonomy - An Incremental Agent-based Approach. - Walt Truszkowski; Christopher A. Rouff; Sidney C. Bailin; Mike Rilee (Software Engineering Research and Practice, 2005)

Progressive autonomy: a method for gradually introducing autonomy into space missions. - Walt Truszkowski; Christopher A. Rouff; Sidney C. Bailin; Mike Rilee (Innov. Syst. Softw. Eng., 2005)

Frontier modeling support environment: flexibility to adapt to diverse stakeholders. - Bernard P. Zeigler; James J. Nutaro; Chungman Seo; Steven B. Hall; Pamela Clark; Michael Rilee; Sidney C. Bailin; Thomas Speller; Walter Powell (SpringSim (TMS-DEVS), 2012)

Towards test driven development for computational science with pFUnit. - Michael Rilee; Thomas L. Clune (SE-HPCCSE@SC, 2014)

Testing and debugging exascale applications by mocking MPI. - Thomas L. Clune; Hal Finkel; Michael Rilee (SE-HPCCSE@SC, 2015)

Addressing the big-earth-data variety challenge with the hierarchical triangular mesh. - Michael L. Rilee; Kwo-Sen Kuo; Thomas L. Clune; Amidu Oloso; Paul G. Brown; Hongfeng Yu 001 (IEEE BigData, 2016)

Visual analytics with unparalleled variety scaling for big earth data. - Lina Yu; Michael L. Rilee; Yu Pan 007; Feiyu Zhu 001; Kwo-Sen Kuo; Hongfeng Yu 001 (IEEE BigData, 2017)

A Big Earth Data Platform Exploiting Transparent Multimodal Parallelization. - Kwo-Sen Kuo; Yu Pan 007; Feiyu Zhu 001; Jin Wang; Michael L. Rilee; Hongfeng Yu 001 (IGARSS, 2018)

Leveraging STARE for Co-aligned Data Locality with netCDF and Python MPI. - Kwo-Sen Kuo; Hongfeng Yu 001; Yu Pan 007; Michael L. Rilee (IGARSS, 2019)

STARE-based Integrative Analysis of Diverse Data Using Dask Parallel Programming Demo Paper. - Michael Rilee; Niklas Griessbaum; Kwo-Sen Kuo; James Frew; Robert E. Wolfe (SIGSPATIAL/GIS, 2020)

Stare Towards Integrative Analysis with Minimized Data Wrangling Hassle. - Michael L. Rilee; Kwo-Sen Kuo; James Frew; Niklas Griessbaum; James Gallagher (IGARSS, 2020)

Assessing Deep Neural Networks as Probability Estimators. - Yu Pan 007; Kwo-Sen Kuo; Michael L. Rilee; Hongfeng Yu 001 (IEEE BigData, 2021)

STARE Companion Files for NASA Earth Science Data. - James Gallagher; Edward J. Hartnett; Michael L. Rilee; Kwo-Sen Kuo (IGARSS, 2021)

A Portable Approach to Integrating Diverse Geo-Science Data Using Stare-Aware Databases and Transitioning to Cloud. - Michael L. Rilee; Kwo-Sen Kuo; Niklas Griessbaum; James Frew; James Gallagher (IGARSS, 2021)

STARE into the future of GeoData integrative analysis. - Michael L. Rilee; Kwo-Sen Kuo; James Frew; James Gallagher; Niklas Griessbaum; Kodi Neumiller; Robert E. Wolfe (Earth Sci. Informatics, 2022)