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Article
Open AccessDCRELM: dual correlation reduction network-based extreme learning machine for single-cell RNA-seq data clustering
Single-cell ribonucleic acid sequencing (scRNA-seq) is a high-throughput genomic technique that is utilized to investigate single-cell transcriptomes. Cluster analysis can effectively reveal the heterogeneity ...
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Article
Open AccessIntuitionistic Fuzzy Extreme Learning Machine with the Truncated Pinball Loss
Fuzzy extreme learning machine (FELM) is an effective algorithm for dealing with classification problems with noises, which uses a membership function to effectively suppress noise in data. However, FELM has t...
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Article
Open AccessTLC-XML: Transformer with Label Correlation for Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) annotates related labels for unknown text from large-scale label sets. Transformer-based methods have become the dominant approach for solving the XMTC task due t...
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Article
An improved MLTSVM using label-specific features with missing labels
Multi-label twin support vector machine (MLTSVM) is an excellent multi-label classification algorithm, which has attracted much attention. Although MLTSVM can effectively solve the multi-label classification p...
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Chapter
Cultural Default and Translation Compensation in the English Translation of Chinese Films: Taking Ang Lee’s Family Trilogy as an Example
This chapter studies Ang Lee’s Family trilogy based on cultural default and translation compensation theory. There are many factors causing cultural default, including social thinking, value systems, religious be...
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Article
OFF/ON Red-Emitting Fluorescent Probes for Casein Recognition and Quantification Based on Indolium Derivatives
Five derivatives of 2, 3, 3-trimethyl-3H-indolium containing different electron donor groups (H1 - H5) were synthesized for the determination of proteins. H3, a sensitive red-emitting fluorescent probe, was fo...
