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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 ...
IEEE15d
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
Babbie, E. (2020). The Practice of Social Research (15th ed.). Cengage Learning. has been cited by the following article: ...
C&EN28d
Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks - ACS Publications
NCRAE employs a multiview contrastive learning strategy, integrating graph-level and node-level corruption with clean feature references to significantly enhance the robustness of hypergraph feature ...
MacRumors29d
Apple Offers Safari Design Choices in iOS 26, Learning from Past Criticism - MacRumors
Apple introduced a new, compact design for Safari in iOS 26 that serves as the default layout, but there are two other design options available if ...