Compared with multi-label learning (MLL), label distribution learning (LDL) can reflect the significance of relevant labels in samples, so many LDL works have been emerging recently. Nevertheless, ...

WebGL vector layers are not first-class features per se, but OL provides the following hack: class WebGLLayer extends Layer { createRenderer() { return new WebGLVectorLayerRenderer(this, { style, } ...

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2 Methods Syndrome differentiation is essentially a multi-label classification task. The syndrome differentiation analysis model of TCM inputs clinical information and outputs corresponding syndrome ...

Safety, tolerability, and immunogenicity of the Ebola Sudan chimpanzee adenovirus vector vaccine (cAd3-EBO S) in healthy Ugandan adults: a phase 1, open-label, dose-escalation clinical trial ...

A note for the community Please vote on this issue by adding a 👍 reaction to the original issue to help the community and maintainers prioritize this request If you are interested in working on this ...

This article proposes a novel RUL prediction algorithm using a spatiotemporal attention mechanism based on the pseudo-label vectors to solve this problem. The proposed attention network uses the ...

Discover the future of healthcare with AI & ML in deep learning for improved diagnosis of chest conditions. Our lightweight solution detects 14 diseases from X-ray images, expanding on previous ...

Here, we show that two-photon excited fluorescence lifetime imaging (TPE-FLIM), a label-free noninvasive method, can visualize ΜΦs in the human dermis in vivo. We demonstrate in vitro that human ...

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