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04/14/2022
Uplifting Interviews in Social Science with Individual Data Visualization: the case of Music Listening
Collecting accurate and fine-grain information about the music people li...
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01/25/2022
Explainability in Music Recommender Systems
The most common way to listen to recorded music nowadays is via streamin...
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09/08/2021
Follow the guides: disentangling human and algorithmic curation in online music consumption
The role of recommendation systems in the diversity of content consumpti...
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07/26/2021
Hierarchical Latent Relation Modeling for Collaborative Metric Learning
Collaborative Metric Learning (CML) recently emerged as a powerful parad...
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10/13/2020
Modeling the Music Genre Perception across Language-Bound Cultures
The music genre perception expressed through human annotations of artist...
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02/05/2020
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding
Graph autoencoders (AE) and variational autoencoders (VAE) are powerful ...
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09/24/2019
Improving Collaborative Metric Learning with Efficient Negative Sampling
Distance metric learning based on triplet loss has been applied with suc...
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10/03/2018
Disambiguating Music Artists at Scale with Audio Metric Learning
We address the problem of disambiguating large scale catalogs through th...
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09/19/2018
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
We consider the task of multimodal music mood prediction based on the au...
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09/19/2018
