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Kwo-Sen Kuo

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2020 – today

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2024
[c23]
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Yifan Yang, Haonan Chen, Kwo-Sen Kuo:
Deep Learning for Precipitation Retrievals Using Combined Measurements from GOES-16 and GOES-18 Satellites. IGARSS 2024: 1292-1295
[c22]
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Robert S. Schrom, Kwo-Sen Kuo:
Biases in Ice Particle Size Retrievals from Synthetic Imaging Probes. IGARSS 2024: 5521-5524
2022
[j5]
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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)
[c21]
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Kwo-Sen Kuo, Ines Fenni:
Parameterizing Single Scattering Properties Across the Electromagnetic Spectrum for Water Cloud Retrieval. IGARSS 2022: 6456-6459
2021
[c20]
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Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu:
Assessing Deep Neural Networks as Probability Estimators. IEEE BigData 2021: 1083-1091
[c19]
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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]
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James Gallagher, Edward J. Hartnett, Michael L. Rilee, Kwo-Sen Kuo:
STARE Companion Files for NASA Earth Science Data. IGARSS 2021: 5668-5671
[c17]
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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
[i1]
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Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu:
Assessing Deep Neural Networks as Probability Estimators. CoRR abs/2111.08239 (2021)
2020
[c16]
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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]
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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]
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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]
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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

2010 – 2019

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2019
[c12]
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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]
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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
[j4]
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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)
[c10]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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
2013
[j3]
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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]
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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)
[c2]
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Thomas L. Clune, Shawn M. Freeman, Kwo-Sen Kuo:
Leveraging data intensive computing to support Automated Event Services. IGARSS 2012: 5352-5355

2000 – 2009

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2008
[c1]
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Kwo-Sen Kuo, Eric A. Smith, Qingyuan Han:
Theoretical Basis for Retrievals of Irregular-Particle Collections in the Atmosphere. IGARSS (5) 2008: 455-458

1990 – 1999

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1998
[j1]
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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)

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