Results 71 to 80 of about 169,617 (164)

Multi-View Learning to Unravel the Different Levels Underlying Hepatitis B Vaccine Response. [PDF]

Vaccines (Basel), 2023
Affaticati F, Bartholomeus E, Mullan K, Damme PV, Beutels P, Ogunjimi B, Laukens K, Meysman P.   +7 more
europepmc   +1 more source

scPML: pathway-based multi-view learning for cell type annotation from single-cell RNA-seq data. [PDF]

Commun Biol, 2023
Du ZH, Hu WL, Li JQ, Shang X, You ZH, Chen ZZ, Huang YA.   +6 more
europepmc   +1 more source

Self-paced Multi-view Learning for CT-based severity assessment of COVID-19. [PDF]

Biomed Signal Process Control, 2023
Liu Y, Chen B, Zhang Z, Yu H, Ru S, Chen X, Lu G.   +6 more
europepmc   +1 more source

Semantic consistency enhancement and contribution-driven network for partial multi-view incomplete multi-label classification

Journal of King Saud University: Computer and Information Sciences
In recent years, multi-view multi-label learning has garnered considerable attention due to its broad application prospects, such as bioinformatics and medical imaging.
Yishan Jiang, Lian Zhao, Zhixian Jiang, Yinghao Ye, Xiaohuan Lu   +4 more
doaj   +1 more source

scAWMV: an adaptively weighted multi-view learning framework for the integrative analysis of parallel scRNA-seq and scATAC-seq data. [PDF]

Bioinformatics, 2023
Zeng P, Ma Y, Lin Z.
europepmc   +1 more source

Human gut microbiome aging clocks based on taxonomic and functional signatures through multi-view learning. [PDF]

Gut Microbes, 2022
Chen Y, Wang H, Lu W, Wu T, Yuan W, Zhu J, Lee YK, Zhao J, Zhang H, Chen W.   +9 more
europepmc   +1 more source

Mining Data Patterns in Chinese-English Translation via Multi-granularity Contrastive Learning

Journal of Applied Science and Engineering
Multi-view clustering-based multilingual data pattern mining has received significant attention in recent years due to its ability to fully leverage the complementary and consistent information from multiple languages.
Baoying Yang
doaj   +1 more source

On multi-view feature learning

, 2012
ICML2012
openaire   +2 more sources

Self-Learning Symmetric Multi-View Probabilistic Clustering

IEEE Transactions on Knowledge and Data Engineering
Multi-view Clustering (MVC) has achieved significant progress, with many efforts dedicated to learn knowledge from multiple views. However, most existing methods are either not applicable or require additional steps for incomplete MVC. Such a limitation results in poor-quality clustering performance and poor missing view adaptation.
Junjie Liu, Junlong Liu, Rongxin Jiang, Yaowu Chen, Chen Shen, Jieping Ye   +5 more
openaire   +2 more sources

Using Variational Multi-view Learning for Classification of Grocery Items. [PDF]

Patterns (N Y), 2020
Klasson M, Zhang C, Kjellström H.
europepmc   +1 more source