Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Navapat Nananukul

Showing results (1-10 of 2) with videos related to

Pageof 1
Sort By:
Data in Brief|September 19, 2024
The plausibility machine commonsense (PMC) dataset: A massively crowdsourced human-annotated dataset for studying plausibility in large language modelsNavapat Nananukul, Ke Shen, Mayank Kejriwal
IEEE Journal of Biomedical and Health Informatics|July 2, 2024
Multi-Source Data Integration for Segmentation of Unannotated MRI ImagesNavapat Nananukul, Hamid Soltanian-Zadeh, Mohammad Rostami
Pageof 1

Showing results (1-10 of 2) with videos related to

Sort By:
Pageof 1
Data in Brief|September 19, 2024
The plausibility machine commonsense (PMC) dataset: A massively crowdsourced human-annotated dataset for studying plausibility in large language modelsNavapat Nananukul, Ke Shen, Mayank Kejriwal
IEEE Journal of Biomedical and Health Informatics|July 2, 2024
Multi-Source Data Integration for Segmentation of Unannotated MRI ImagesNavapat Nananukul, Hamid Soltanian-Zadeh, Mohammad Rostami
Pageof 1