Multiview Learning
14 papers with code • 0 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Multiview Learning
Most implemented papers
Multi-View Hypercomplex Learning for Breast Cancer Screening
To overcome such limitations, in this paper, we propose a methodological approach for multi-view breast cancer classification based on parameterized hypercomplex neural networks.
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis
Appendicitis is among the most frequent reasons for pediatric abdominal surgeries.
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition
To facilitate the data efficiency of multiview learning, we further perform video-text alignment for first-person and third-person videos, to fully leverage the semantic knowledge to improve video representations.
mvlearnR and Shiny App for multiview learning
For users with limited programming language, we provide a Shiny Application to facilitate data integration anywhere and on any device.