Active learning for multi-label classification addresses the challenge of labelling data in situations where each instance may belong to several overlapping categories. This paradigm aims to enhance ...
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Multi-label classification in AI: A new path for object recognition
In an article published today in Physica A: Statistical Mechanics and its Applications, researchers from Bar-Ilan University in Israel show how classifying objects together, through a process known as ...
Artificial intelligence is quickly becoming the next big thing in workplace efficiency. These models can read, interpret and find solutions to many companies’ problems. One of the latest trends is ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
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