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AlphaGalileo1d
scSCC: A swapped contrastive learning-based clustering method for single-cell gene expression data
Hongwei Li’s team from China University of Geosciences published a research article titled “scSCC: A swapped contrastive ...
IEEE12d
Multiview Contrastive Shapelet Learning: A Novel Semi-Supervised Approach for Explainable Machine Fault Diagnosis With Insufficient Annotated Data
Second, a significant limitation of these intelligent methods lies in their lack of interpretability, which hampers their applicability in high-reliability fault diagnosis systems. To address these ...
IEEE16d
Nonparametric Clustering-Guided Cross-View Contrastive Learning for Partially View-Aligned Representation Learning - IEEE Xplore
In this paper, we propose a Nonparametric Clustering-guided Cross-view Contrastive Learning (NC3L) for PVRL, in order to address the above issues. Firstly, we propose to estimate the similarity matrix ...
Scientific Research Publishing25d
Babbie, E. (2020). The Practice of Social Research (15th ed.). Cengage Learning. - Scientific Research Publishing
ABSTRACT: This study was carried out to determine students’ perception of the Physical Education Curriculum at the University of Education Winneba (UEW), Ghana. A descriptive survey research design ...
C&EN28d
Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks - ACS Publications
Competitive endogenous RNA (ceRNA) regulatory networks (CENA) have advanced our understanding of noncoding RNAs’ roles in complex diseases, providing a theoretical basis for disease mechanisms.
MacRumors29d
Apple Offers Safari Design Choices in iOS 26, Learning from Past Criticism - MacRumors
Apple has actually offered design choices for several of the ‌iOS 26‌ design updates that could be controversial. The Phone app offers a unified view, for example, but by default, it's not ...