- Home
- Search Results
- Page 1 of 1
Search for: All records
-
Total Resources3
- Resource Type
-
0002000001000000
- More
- Availability
-
21
- Author / Contributor
- Filter by Author / Creator
-
-
Freeman, Nathan (3)
-
Stubbs, Joe (3)
-
Jamthe, Anagha (2)
-
Balasubramaniam, Sowbaranika (1)
-
Berger-Wolf, Tanya (1)
-
Cardone, Richard (1)
-
Curbelo, Gilbert (1)
-
Garcia, Christian (1)
-
Guzman, Carlos (1)
-
Hammock, Cody (1)
-
Indrakusuma, Dhanny (1)
-
Khuvis, Samuel (1)
-
Packard, Mike (1)
-
Plale, Beth (1)
-
Ramnath, Rajiv (1)
-
Vallabhajosyula, Manikya Swathi (1)
-
Withana, Sachith (1)
-
#Tyler Phillips, Kenneth E. (0)
-
#Willis, Ciara (0)
-
& Abreu-Ramos, E. D. (0)
-
- Filter by Editor
-
-
& Spizer, S. M. (0)
-
& . Spizer, S. (0)
-
& Ahn, J. (0)
-
& Bateiha, S. (0)
-
& Bosch, N. (0)
-
& Brennan K. (0)
-
& Brennan, K. (0)
-
& Chen, B. (0)
-
& Chen, Bodong (0)
-
& Drown, S. (0)
-
& Ferretti, F. (0)
-
& Higgins, A. (0)
-
& J. Peters (0)
-
& Kali, Y. (0)
-
& Ruiz-Arias, P.M. (0)
-
& S. Spitzer (0)
-
& Sahin. I. (0)
-
& Spitzer, S. (0)
-
& Spitzer, S.M. (0)
-
(submitted - in Review for IEEE ICASSP-2024) (0)
-
-
Have feedback or suggestions for a way to improve these results?
!
Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher.
Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?
Some links on this page may take you to non-federal websites. Their policies may differ from this site.
-
Free, publicly-accessible full text available July 18, 2026
-
Indrakusuma, Dhanny; Stubbs, Joe; Freeman, Nathan; Jamthe, Anagha (, Zenodo)The adaptation of machine learning (ML) in scientific and medical research in recent years has heralded a new era of innovation, catalyzing breakthroughs that were once deemed unattainable. In this paper, we present the Machine Learning Hub (ML Hub) – a web application offering a single point of access to pre-trained ML models and datasets, catering to users across varying expertise levels. Built upon the NSF-funded Tapis v3 Application Programming Interface (API) and Tapis User Interface (TapisUI), the platform offers a user-friendly interface for model discovery, dataset exploration, and inference server deployment.more » « less
-
Stubbs, Joe; Jamthe, Anagha; Freeman, Nathan; Packard, Mike; Curbelo, Gilbert; Hammock, Cody (, Computing in Science & Engineering)
An official website of the United States government
