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Kwo-Sen Kuo
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Journal Articles
- 2022
- [j5]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): 1495-1512 (2022) - 2018
- [j4]Ines Fenni
, Ziad S. Haddad, Helene Roussel, Kwo-Sen Kuo
, Raj Mittra
:
A Computationally Efficient 3-D Full-Wave Model for Coherent EM Scattering From Complex-Geometry Hydrometeors Based on MoM/CBFM-Enhanced Algorithm. IEEE Trans. Geosci. Remote. Sens. 56(5): 2674-2688 (2018) - 2013
- [j3]Rahul Ramachandran
, John A. Rushing, Amy Lin, Helen Conover, Xiang Li, Sara J. Graves, Udaysankar Nair, Kwo-Sen Kuo, Deborah K. Smith:
Data Prospecting-A Step Towards Data Intensive Science. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(3): 1233-1241 (2013) - 2012
- [j2]Kwo-Sen Kuo, Christopher Lynnes, Rahul Ramachandran
:
A Proposed Earth Science Collaboratory for Remote Sensing Data Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(6): 1612-1616 (2012) - 1998
- [j1]Antonette M. Logar, David E. Lloyd, Edward M. Corwin, Manuel L. Penaloza, Rand E. Feind, Todd Berendes, Kwo-Sen Kuo, Ronald Welch:
The ASTER polar cloud mask. IEEE Trans. Geosci. Remote. Sens. 36(4): 1302-1312 (1998)
Conference and Workshop Papers
- 2022
- [c21]Kwo-Sen Kuo, Ines Fenni:
Parameterizing Single Scattering Properties Across the Electromagnetic Spectrum for Water Cloud Retrieval. IGARSS 2022: 6456-6459 - 2021
- [c20]Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu:
Assessing Deep Neural Networks as Probability Estimators. IEEE BigData 2021: 1083-1091 - [c19]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: 2428-2431 - [c18]James Gallagher, Edward J. Hartnett, Michael L. Rilee, Kwo-Sen Kuo:
STARE Companion Files for NASA Earth Science Data. IGARSS 2021: 5668-5671 - [c17]Jia Zhang
, Junhao Shen, Beichen Hu, Rahul Ramachandran
, Tsengdar J. Lee, Kwo-Sen Kuo, Manil Maskey
, Seungwon Lee:
Graph Convolutional Network-Strengthened Topic Modeling for Scientific Papers. SMDS 2021: 24-32 - 2020
- [c16]Michael Rilee, Niklas Griessbaum, Kwo-Sen Kuo, James Frew, Robert E. Wolfe:
STARE-based Integrative Analysis of Diverse Data Using Dask Parallel Programming Demo Paper. SIGSPATIAL/GIS 2020: 417-420 - [c15]Michael L. Rilee, Kwo-Sen Kuo, James Frew, Niklas Griessbaum, James Gallagher:
Stare Towards Integrative Analysis with Minimized Data Wrangling Hassle. IGARSS 2020: 901-904 - [c14]Ian Stuart Adams, Kwo-Sen Kuo, William S. Olson, Thomas L. Clune, Craig Pelissier, Adrian M. Loftus, Robert S. Schrom:
Recent Advances to the Openssp Particle and Scattering Database. IGARSS 2020: 3608-3610 - [c13]Kwo-Sen Kuo, Adrian M. Loftus, William S. Olson, Robert S. Schrom, Benjamin T. Johnson, Ian Stuart Adams:
Towards a Mass-Consistent Methodology for Realistic Melting Hydrometeor Retrieval. IGARSS 2020: 5469-5472 - 2019
- [c12]Ian Stuart Adams, S. Joseph Munchak, Kwo-Sen Kuo, Craig Pelissier, Thomas L. Clune, Rachael Kroodsma, Adrian M. Loftus, Xioawen Li:
Active and Passive Radiative Transfer Simulations for GPM-Related Field Campaigns. IGARSS 2019: 4553-4556 - [c11]Kwo-Sen Kuo, Hongfeng Yu, Yu Pan, Michael L. Rilee:
Leveraging STARE for Co-aligned Data Locality with netCDF and Python MPI. IGARSS 2019: 10063-10066 - 2018
- [c10]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: 6532-6535 - 2017
- [c9]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: 514-521 - 2016
- [c8]Khoa D. Doan
, Amidu O. Oloso, Kwo-Sen Kuo, Thomas L. Clune, Hongfeng Yu, Brian Nelson, Jian Zhang:
Evaluating the impact of data placement to spark and SciDB with an Earth Science use case. IEEE BigData 2016: 341-346 - [c7]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: 1006-1011 - [c6]Amidu Oloso, Kwo-Sen Kuo, Thomas L. Clune, Paul Brown, Alex Poliakov, Hongfeng Yu:
Implementing connected component labeling as a user defined operator for SciDB. IEEE BigData 2016: 2948-2952 - [c5]Lina Yu, Feiyu Zhu, Hongfeng Yu, Jun Wang
, Kwo-Sen Kuo:
Feature extraction and tracking for large-scale geospatial data. IGARSS 2016: 1504-1507 - [c4]Kwo-Sen Kuo, Kush Shrestha, Amy Lin, Rahul Ramachandran
:
Snowstorm climatology derived from NASA MERRA reanalysis as an example for event-based virtual collections. IGARSS 2016: 2177-2180 - [c3]Kwo-Sen Kuo, Amidu Oloso, Khoa D. Doan
, Thomas L. Clune, Hongfeng Yu:
Implications of data placement strategy to Big Data technologies based on shared-nothing architecture for geosciences. IGARSS 2016: 7605-7607 - 2012
- [c2]Thomas L. Clune, Shawn M. Freeman, Kwo-Sen Kuo:
Leveraging data intensive computing to support Automated Event Services. IGARSS 2012: 5352-5355 - 2008
- [c1]Kwo-Sen Kuo, Eric A. Smith, Qingyuan Han:
Theoretical Basis for Retrievals of Irregular-Particle Collections in the Atmosphere. IGARSS (5) 2008: 455-458
Informal and Other Publications
- 2021
- [i1]Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu:
Assessing Deep Neural Networks as Probability Estimators. CoRR abs/2111.08239 (2021)
Coauthor Index
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