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Found 3 papers, 1 papers with code
Deep Content-User Embedding Model for Music Recommendation
Recently deep learning based recommendation systems have been actively explored to solve the cold-start problem using a hybrid approach.
k-Space Deep Learning for Reference-free EPI Ghost Correction
Reconstruction results using 3T and 7T in-vivo data showed that the proposed method outperformed the image quality compared to the existing methods, and the computing time is much faster. The proposed k-space deep learning for EPI ghost correction is highly robust and fast, and can be combined with acceleration, so that it can be used as a promising correction tool for high-field MRI without changing the current acquisition protocol.
Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks
Music highlights are valuable contents for music services.
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