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Few-Shot Nested Named Entity Recognition
Leveraging contextual dependency to distinguish nested entities, we propose a Biaffine-based Contrastive Learning (BCL) framework.
A deep belief network-based method to identify proteomic risk markers for Alzheimer disease
Besides identifying a proteomic risk marker and further reinforce the link between metabolic risk factors and Alzheimer disease, this paper also suggests that apidonectin-linked pathways are a possible therapeutic drug target.
Deep ensemble learning for Alzheimers disease classification
The proposed deep ensemble learning framework is used for Alzheimers disease classification.
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