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

Mingxi Cheng

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Frontiers in Artificial Intelligence|March 18, 2021
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural NetworksMingxi Cheng, Shahin Nazarian, Paul Bogdan
Scientific Reports|March 13, 2021
From rumor to genetic mutation detection with explanations: a GAN approachMingxi Cheng, Yizhi Li, Shahin Nazarian, et al.
Scientific Reports|May 18, 2021
Deciphering the laws of social network-transcendent COVID-19 misinformation dynamics and implications for combating misinformation phenomenaMingxi Cheng, Chenzhong Yin, Shahin Nazarian, et al.
The New Phytologist|November 22, 2024
Machine learning-based identification of general transcriptional predictors for plant diseaseJayson Sia, Wei Zhang, Mingxi Cheng, et al.
Frontiers in Psychology|June 17, 2021
A COVID-19 Rumor DatasetMingxi Cheng, Songli Wang, Xiaofeng Yan, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|February 22, 2023
Fractional Dynamics Foster Deep Learning of COPD Stage PredictionChenzhong Yin, Mihai Udrescu, Gaurav Gupta, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 3, 2023
Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairmentChenzhong Yin, Phoebe Imms, Mingxi Cheng, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Frontiers in Artificial Intelligence|March 18, 2021
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural NetworksMingxi Cheng, Shahin Nazarian, Paul Bogdan
Scientific Reports|March 13, 2021
From rumor to genetic mutation detection with explanations: a GAN approachMingxi Cheng, Yizhi Li, Shahin Nazarian, et al.
Scientific Reports|May 18, 2021
Deciphering the laws of social network-transcendent COVID-19 misinformation dynamics and implications for combating misinformation phenomenaMingxi Cheng, Chenzhong Yin, Shahin Nazarian, et al.
The New Phytologist|November 22, 2024
Machine learning-based identification of general transcriptional predictors for plant diseaseJayson Sia, Wei Zhang, Mingxi Cheng, et al.
Frontiers in Psychology|June 17, 2021
A COVID-19 Rumor DatasetMingxi Cheng, Songli Wang, Xiaofeng Yan, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|February 22, 2023
Fractional Dynamics Foster Deep Learning of COPD Stage PredictionChenzhong Yin, Mihai Udrescu, Gaurav Gupta, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 3, 2023
Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairmentChenzhong Yin, Phoebe Imms, Mingxi Cheng, et al.
Pageof 1