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Rodrigo Vargas
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2020 – today
- 2024
- [j6]Van Huong Le, Rodrigo Vargas:
An autocorrelated conditioned Latin hypercube method for temporal or spatial sampling and predictions. Comput. Geosci. 184: 105539 (2024) - [j5]Nestor Porras-Diaz, Andres Ramirez-Jaime, Gonzalo R. Arce, Karelia Pena-Pena, David J. Harding, Mark Stephen, James MacKinnon, Rodrigo Vargas:
Transformer End-to-End Optimization of Compressive LiDARs Using Imaging Spectroscopy Side Information. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [c8]Nestor Porras-Diaz, Andres Ramirez-Jaime, Gonzalo R. Arce, Rodrigo Vargas, David J. Harding, Mark Stephen, James MacKinnon:
Multi-Modal Transformer for Compressive LiDARs Using Hyperspectral Imaging Side-Information. IGARSS 2024: 2451-2454 - 2023
- [j4]Paula Olaya, Dominic Kennedy, Ricardo M. Llamas, Leobardo Valera, Rodrigo Vargas, Jay F. Lofstead, Michela Taufer:
Building Trust in Earth Science Findings through Data Traceability and Results Explainability. IEEE Trans. Parallel Distributed Syst. 34(2): 704-717 (2023) - [c7]Paula Olaya, Jakob Lüttgau, Camila Roa, Ricardo M. Llamas, Rodrigo Vargas, Sophia Wen, I-Hsin Chung, Seetharami R. Seelam, Yoonho Park, Jay F. Lofstead, Michela Taufer:
Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case. CLOUD 2023: 383-393 - [c6]Camila Roa, Paula Olaya, Ricardo M. Llamas, Rodrigo Vargas, Michela Taufer:
GEOtiled: A Scalable Workflow for Generating Large Datasets of High-Resolution Terrain Parameters. HPDC 2023: 311-312 - [c5]Camila Roa, Mats Rynge, Paula Olaya, Karan Vahi, Todd Miller, James Griffioen, Shelley Knuth, John Goodhue, Dávid Hudák, Alana Romanella, Ricardo M. Llamas, Rodrigo Vargas, Miron Livny, Ewa Deelman, Michela Taufer:
End-to-end Integration of Scientific Workflows on Distributed Cyberinfrastructures: Challenges and Lessons Learned with an Earth Science Application. UCC 2023: 17 - 2022
- [j3]Ricardo M. Llamas, Leobardo Valera, Paula Olaya, Michela Taufer, Rodrigo Vargas:
Downscaling Satellite Soil Moisture Using a Modular Spatial Inference Framework. Remote. Sens. 14(13): 3137 (2022) - [c4]Dominic Kennedy, Paula Olaya, Jay F. Lofstead, Rodrigo Vargas, Michela Taufer:
Augmenting Singularity to Generate Fine-grained Workflows, Record Trails, and Data Provenance. e-Science 2022: 403-404 - 2020
- [j2]Ricardo M. Llamas, Mario Guevara, Danny Rorabaugh, Michela Taufer, Rodrigo Vargas:
Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression. Remote. Sens. 12(4): 665 (2020)
2010 – 2019
- 2019
- [c3]Danny Rorabaugh, Mario Guevara, Ricardo M. Llamas, Joy Kitson, Rodrigo Vargas, Michela Taufer:
SOMOSPIE: A Modular SOil MOisture SPatial Inference Engine Based on Data-Driven Decisions. eScience 2019: 1-10 - [i1]Danny Rorabaugh, Mario Guevara, Ricardo M. Llamas, Joy Kitson, Rodrigo Vargas, Michela Taufer:
SOMOSPIE: A modular SOil MOisture SPatial Inference Engine based on data driven decision. CoRR abs/1904.07754 (2019) - 2017
- [j1]Angel Castro, Juan F. Martínez-Osuna, Raúl Michel, Martín Escoto-Rodríguez, Stephen H. Bullock, Alejandro Cueva, Eulogio López-Reyes, Janet Reimer, Mario Salazar, Samuel Villarreal, Rodrigo Vargas:
A low-cost modular data-acquisition system for monitoring biometeorological variables. Comput. Electron. Agric. 141: 357-371 (2017) - [c2]Thomas Kitson, Paula Olaya, Elizabeth Racca, Michael R. Wyatt II, Mario Guevara, Rodrigo Vargas, Michela Taufer:
Data analytics for modeling soil moisture patterns across united states ecoclimatic domains. IEEE BigData 2017: 4768-4770 - 2015
- [c1]Ryan McKinney, Vivek K. Pallipuram, Rodrigo Vargas, Michela Taufer:
From HPC Performance to Climate Modeling: Transforming Methods for HPC Predictions into Models of Extreme Climate Conditions. e-Science 2015: 108-117
Coauthor Index
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last updated on 2024-12-10 20:51 CET by the dblp team
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