Abstract: Distance-based unsupervised text classification is a method within text classification that leverages the semantic similarity between a label and a text to determine label relevance. This ...
Psychic medium Matt Fraser explores the journey of leaving career labels to pursue multiple passions. Gun parts manufacturer to pay $1.75m to Buffalo shooting victims, families Key detail in Bad Bunny ...
State Key Laboratory of Soil Pollution Control and Safety, and Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China ...
I have read the paper and it seemed to be a single-label multi-classification problem. But the code use BCE and sigmoid instead of crossEntropy and softmax. So does it mean that the patient may have ...
Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...
Figure 1. Conceptual illustration of label-free, multiphoton photoacoustic microscope (LF-MP-PAM). Near-infrared femtosecond laser enable us to observe endogenous NAD(P)H of neurons in brain slice and ...
I tried applying label smoothing to my multi-label classification problem—given that my dataset is noisy and unbalanced, I thought it might help—but I ran into issue #40258 ...
In the published article, there was an error in the Funding statement. The Funding statement was erroneously omitted, and financial support grants should have instead ...
1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...
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