Rodrigo Vargas

According to our database, Rodrigo Vargas authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

An autocorrelated conditioned Latin hypercube method for temporal or spatial sampling and predictions.

Van Huong Le, Rodrigo Vargas

Comput. Geosci., February, 2024

Transformer End-to-End Optimization of Compressive LiDARs Using Imaging Spectroscopy Side Information.

Nestor Porras-Diaz, Andres Ramirez-Jaime, Gonzalo R. Arce, Karelia Pena-Pena, David J. Harding, Mark Stephen, James MacKinnon, Rodrigo Vargas

IEEE Trans. Geosci. Remote. Sens., 2024

Multi-Modal Transformer for Compressive LiDARs Using Hyperspectral Imaging Side-Information.

Nestor Porras-Diaz, Andres Ramirez-Jaime, Gonzalo R. Arce, Rodrigo Vargas, David J. Harding, Mark Stephen, James MacKinnon

Proceedings of the IGARSS 2024, 2024

2023

Building Trust in Earth Science Findings through Data Traceability and Results Explainability.

Paula Olaya, Dominic Kennedy, Ricardo M. Llamas, Leobardo Valera, Rodrigo Vargas, Jay F. Lofstead, Michela Taufer

IEEE Trans. Parallel Distributed Syst., February, 2023

End-to-end Integration of Scientific Workflows on Distributed Cyberinfrastructures: Challenges and Lessons Learned with an Earth Science Application.

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

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

GEOtiled: A Scalable Workflow for Generating Large Datasets of High-Resolution Terrain Parameters.

Camila Roa, Paula Olaya, Ricardo M. Llamas, Rodrigo Vargas, Michela Taufer

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case.

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

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022

Downscaling Satellite Soil Moisture Using a Modular Spatial Inference Framework.

Ricardo M. Llamas, Leobardo Valera, Paula Olaya, Michela Taufer, Rodrigo Vargas

Remote. Sens., 2022

Augmenting Singularity to Generate Fine-grained Workflows, Record Trails, and Data Provenance.

Dominic Kennedy, Paula Olaya, Jay F. Lofstead, Rodrigo Vargas, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2020

Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression.

Ricardo M. Llamas, Mario Guevara, Danny Rorabaugh, Michela Taufer, Rodrigo Vargas

Remote. Sens., 2020

2019

SOMOSPIE: A modular SOil MOisture SPatial Inference Engine based on data driven decision.

Danny Rorabaugh, Mario Guevara, Ricardo M. Llamas, Joy Kitson, Rodrigo Vargas, Michela Taufer

CoRR, 2019

SOMOSPIE: A Modular SOil MOisture SPatial Inference Engine Based on Data-Driven Decisions.

Danny Rorabaugh, Mario Guevara, Ricardo M. Llamas, Joy Kitson, Rodrigo Vargas, Michela Taufer

Proceedings of the 15th International Conference on eScience, 2019

2017

A low-cost modular data-acquisition system for monitoring biometeorological variables.

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

Comput. Electron. Agric., 2017

Data analytics for modeling soil moisture patterns across united states ecoclimatic domains.

Thomas Kitson, Paula Olaya, Elizabeth Racca, Michael R. Wyatt II, Mario Guevara, Rodrigo Vargas, Michela Taufer

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015

From HPC Performance to Climate Modeling: Transforming Methods for HPC Predictions into Models of Extreme Climate Conditions.

Ryan McKinney, Vivek K. Pallipuram, Rodrigo Vargas, Michela Taufer

Proceedings of the 11th IEEE International Conference on e-Science, 2015