Andres Ferraro
Citado por
Citado por
Freesound datasets: a platform for the creation of open audio datasets
E Fonseca, J Pons Puig, X Favory, F Font Corbera, D Bogdanov, ...
Hu X, Cunningham SJ, Turnbull D, Duan Z, editors. Proceedings of the 18th …, 2017
Using offline metrics and user behavior analysis to combine multiple systems for music recommendation
A Ferraro, D Bogdanov, K Choi, X Serra
ACM Conference on Recommender Systems (RecSys) 2018, REVEAL Workshop, 2018
Automatic playlist continuation using a hybrid recommender system combining features from text and audio
A Ferraro, D Bogdanov, J Yoon, KS Kim, X Serra
Proceedings of the ACM Recommender Systems Challenge 2018, 1-5, 2018
A tool for the analysis and discovery of Ottoman-Turkish makam music
S Sentürk, A Ferraro, A Porter, X Serra
International Society for Music Information Retrieval (ISMIR), 2016
Music cold-start and long-tail recommendation: bias in deep representations
A Ferraro
Proceedings of the 13th ACM Conference on Recommender Systems, 586-590, 2019
Mel: a music entity linking system
S Oramas, A Ferraro, AA Correya, X Serra
Hu X, Cunningham SJ, Turnbull D, Duan Z. ISMIR 2017. 18th International …, 2017
Skip prediction using boosting trees based on acoustic features of tracks in sessions
A Ferraro, D Bogdanov, X Serra
arXiv preprint arXiv:1903.11833, 2019
On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns
A Ferraro, K Lemström
Proceedings of the 5th International Conference on Digital Libraries for …, 2018
Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution
A Ferraro, D Bogdanov, JH Jeon, J Yoon, X Serra
arXiv preprint arXiv:1911.04824, 2019
Artist and style exposure bias in collaborative filtering based music recommendations
A Ferraro, D Bogdanov, X Serra, J Yoon
arXiv preprint arXiv:1911.04827, 2019
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Artículos 1–10