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DeepFeature

model1 events
papersTODAY 04:00 UTC

DeepFeature: LLM-Driven Context-Aware Feature Generation for Wearable Biosignals

A new arXiv paper introduces DeepFeature, a method that uses large language models to generate contextual features from biosignal data collected by wearable devices. The approach aims to improve the features available to machine learning models in healthcare applications while keeping data dimensionality manageable. The work is presented as a revision of a prior submission.

wearables/biosignals/llm/feature-engineering