Abstract: Federated learning is an emerging machine learning paradigm that effectively alleviates the data silo problem by distributing the model training process to multiple data holders. However, ...
Abstract: Long-tailed multi-label learning(LTMLL) addresses multi-label classification tasks under long-tailed label distributions. Challenges like class imbalance ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
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