85 citations · 209 across the 9 of their papers we have counts for
9 papers
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping
Wenwen Li, Chia-Yu Hsu, Sizhe Wang +10
This paper assesses trending AI foundation models, especially emerging computer vision foundation models and their performance in natural landscape feature segmentation. While the…
Self-Supervised Masked Digital Elevation Models Encoding for Low-Resource Downstream Tasks
Priyam Mazumdar, Aiman Soliman, Volodymyr Kindratenko +2
The lack of quality labeled data is one of the main bottlenecks for training Deep Learning models. As the task increases in complexity, there is a higher penalty for overfitting an…
Research Software Engineers: Career Entry Points and Training Gaps
Ian A. Cosden, Kenton McHenry, Daniel S. Katz
As software has become more essential to research across disciplines, and as the recognition of this fact has grown, the importance of professionalizing the development and mainten…
What Does TERRA-REF's High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?
David LeBauer, Max Burnette, Noah Fahlgren +3
A core objective of the TERRA-REF project was to generate an open-access reference dataset for the evaluation of sensing technologies to study plants under field conditions. The TE…
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure
E. A. Huerta, Asad Khan, Edward Davis +9
Significant investments to upgrade and construct large-scale scientific facilities demand commensurate investments in R&D to design algorithms and computing approaches to enable sc…
Enabling real-time multi-messenger astrophysics discoveries with deep learning
E. A. Huerta, Gabrielle Allen, Igor Andreoni +57
Multi-messenger astrophysics is a fast-growing, interdisciplinary field that combines data, which vary in volume and speed of data processing, from many different instruments that…
Research Software Development & Management in Universities: Case Studies from Manchester's RSDS Group, Illinois' NCSA, and Notre Dame's CRC
Daniel S. Katz, Kenton McHenry, Caleb Reinking +1
Modern research in the sciences, engineering, humanities, and other fields depends on software, and specifically, research software. Much of this research software is developed in…
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
Gabrielle Allen, Igor Andreoni, Etienne Bachelet +45
This report provides an overview of recent work that harnesses the Big Data Revolution and Large Scale Computing to address grand computational challenges in Multi-Messenger Astrop…
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE
Doug James, Nancy Wilkins-Diehr, Victoria Stodden +52
This is the final report on reproducibility@xsede, a one-day workshop held in conjunction with XSEDE14, the annual conference of the Extreme Science and Engineering Discovery Envir…