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

Mohammed Hasanuzzaman

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

Pageof 1
Sort By:
Scientific Reports|August 14, 2020
Multi-view clustering for multi-omics data using unified embeddingSayantan Mitra, Sriparna Saha, Mohammed Hasanuzzaman
IEEE Journal of Biomedical and Health Informatics|April 6, 2020
A Multi-View Deep Neural Network Model for Chemical-Disease Relation Extraction From Imbalanced DatasetsSayantan Mitra, Sriparna Saha, Mohammed Hasanuzzaman
Artificial Intelligence in Medicine|January 9, 2026
Integrating probabilistic trees and causal networks for clinical and epidemiological dataSheresh Zahoor, Pietro Liò, Gaël Dias, et al.
Methods and Protocols|July 27, 2022
Performance and Information Leakage in Splitfed Learning and Multi-Head Split Learning in Healthcare Data and BeyondPraveen Joshi, Chandra Thapa, Seyit Camtepe, et al.
Frontiers in Endocrinology|October 6, 2025
Causal insights into gestational diabetes mellitusSheresh Zahoor, Anthony C Constantinou, Fiona O'Halloran, et al.
Pageof 1

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

Sort By:
Pageof 1
Scientific Reports|August 14, 2020
Multi-view clustering for multi-omics data using unified embeddingSayantan Mitra, Sriparna Saha, Mohammed Hasanuzzaman
IEEE Journal of Biomedical and Health Informatics|April 6, 2020
A Multi-View Deep Neural Network Model for Chemical-Disease Relation Extraction From Imbalanced DatasetsSayantan Mitra, Sriparna Saha, Mohammed Hasanuzzaman
Artificial Intelligence in Medicine|January 9, 2026
Integrating probabilistic trees and causal networks for clinical and epidemiological dataSheresh Zahoor, Pietro Liò, Gaël Dias, et al.
Methods and Protocols|July 27, 2022
Performance and Information Leakage in Splitfed Learning and Multi-Head Split Learning in Healthcare Data and BeyondPraveen Joshi, Chandra Thapa, Seyit Camtepe, et al.
Frontiers in Endocrinology|October 6, 2025
Causal insights into gestational diabetes mellitusSheresh Zahoor, Anthony C Constantinou, Fiona O'Halloran, et al.
Pageof 1