Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Abstract: Silicon content prediction of hot metal is crucial for the stable and efficient operation of blast furnace (BF) ironmaking. As an emerging and promising data-driven modeling method, ...
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