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The Power of Fragmentation: A Hierarchical Transformer Model for Structural Segmentation in Symbolic Music Generation
Our model is evaluated on two open MIDI datasets, and experiments show that our model outperforms the best contemporary music generative models.
Review of Machine-Learning Methods for RNA Secondary Structure Prediction
Recently, with the increasing availability of RNA structure data, new methods based on machine-learning technologies, especially deep learning, have alleviated the issue.
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