Michael L. Rilee

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 10

Top Topics

Visual Analytics

Class Membership Probabilities

Top Venues

Earth Sci. Informatics

Publications

Michael L. Rilee, Kwo-Sen Kuo, James Frew, James Gallagher, Niklas Griessbaum, Kodi Neumiller, Robert E. Wolfe
STARE into the future of GeoData integrative analysis. Earth Sci. Informatics 15 (3) (2022)
Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu
Assessing Deep Neural Networks as Probability Estimators. IEEE BigData (2021)
Michael L. Rilee, Kwo-Sen Kuo, Niklas Griessbaum, James Frew, James Gallagher
A Portable Approach to Integrating Diverse Geo-Science Data Using Stare-Aware Databases and Transitioning to Cloud. IGARSS (2021)
James Gallagher, Edward J. Hartnett, Michael L. Rilee, Kwo-Sen Kuo
STARE Companion Files for NASA Earth Science Data. IGARSS (2021)
Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu
Assessing Deep Neural Networks as Probability Estimators. CoRR (2021)
Michael L. Rilee, Kwo-Sen Kuo, James Frew, Niklas Griessbaum, James Gallagher
Stare Towards Integrative Analysis with Minimized Data Wrangling Hassle. IGARSS (2020)
Kwo-Sen Kuo, Hongfeng Yu, Yu Pan, Michael L. Rilee
Leveraging STARE for Co-aligned Data Locality with netCDF and Python MPI. IGARSS (2019)
Kwo-Sen Kuo, Yu Pan, Feiyu Zhu, Jin Wang, Michael L. Rilee, Hongfeng Yu
A Big Earth Data Platform Exploiting Transparent Multimodal Parallelization. IGARSS (2018)
Lina Yu, Michael L. Rilee, Yu Pan, Feiyu Zhu, Kwo-Sen Kuo, Hongfeng Yu
Visual analytics with unparalleled variety scaling for big earth data. IEEE BigData (2017)
Michael L. Rilee, Kwo-Sen Kuo, Thomas L. Clune, Amidu Oloso, Paul G. Brown, Hongfeng Yu
Addressing the big-earth-data variety challenge with the hierarchical triangular mesh. IEEE BigData (2016)
Nimmi C. Parikh, Michael L. Rilee
Automated detection of solar radio burst and plasma structure observed with WIND/WAVES. IGARSS (2002)