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

Sitao Min

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 26, 2025
Exploring the use of Artificial Genomes for Genome-wide Association Studies through the lens of Utility and PrivacyXinyue Wang, Sitao Min, Jaideep Vaidya
IEEE Intelligent Systems|June 30, 2025
Exploring the inequitable impact of data missingness on fairness in machine learningSitao Min, Hafiz Asif, Jaideep Vaidya
IEEE Data Descriptions|April 21, 2025
Descriptor: <i>Synthetic Genomic Dataset With Diverse Ancestry (SynGen6)</i>Xinyue Wang, Sitao Min, Jaideep Vaidya
IEEE Transactions on Privacy|July 9, 2024
U.S.-U.K. PETs Prize Challenge: Anomaly Detection via Privacy-Enhanced Federated LearningHafiz Asif, Sitao Min, Xinyue Wang, et al.
IEEE Transactions on Knowledge and Data Engineering|May 5, 2025
Cafe: Improved Federated Data Imputation by Leveraging Missing Data HeterogeneitySitao Min, Hafiz Asif, Xinyue Wang, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 26, 2025
Exploring the use of Artificial Genomes for Genome-wide Association Studies through the lens of Utility and PrivacyXinyue Wang, Sitao Min, Jaideep Vaidya
IEEE Intelligent Systems|June 30, 2025
Exploring the inequitable impact of data missingness on fairness in machine learningSitao Min, Hafiz Asif, Jaideep Vaidya
IEEE Data Descriptions|April 21, 2025
Descriptor: <i>Synthetic Genomic Dataset With Diverse Ancestry (SynGen6)</i>Xinyue Wang, Sitao Min, Jaideep Vaidya
IEEE Transactions on Privacy|July 9, 2024
U.S.-U.K. PETs Prize Challenge: Anomaly Detection via Privacy-Enhanced Federated LearningHafiz Asif, Sitao Min, Xinyue Wang, et al.
IEEE Transactions on Knowledge and Data Engineering|May 5, 2025
Cafe: Improved Federated Data Imputation by Leveraging Missing Data HeterogeneitySitao Min, Hafiz Asif, Xinyue Wang, et al.
Pageof 1