Biblio

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2018
2019
Pons, J., & Serra X. (2019).  Randomly weighted CNNs for (music) audio classification. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019). Abstract
Pons, J., Serrà J., & Serra X. (2019).  Training neural audio classifiers with few data. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019). Abstract
Porcaro, L., Castillo C., & Gómez E. (2019).  Music recommendation diversity: a tentative framework and preliminary results. 20th annual conference of the International Society for Music Information Retrieval (ISMIR). Abstract
Porcaro, L., & Gómez E. (2019).  20 Years of Playlists: A Statistical Analysis on Popularity and Diversity. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). Abstract
Porcaro, L., & Saggion H. (2019).  Recognizing Musical Entities in User-generated Content. International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) 2019. Abstract
Pons, J. (2019).  Deep Neural Networks for Music and Audio Tagging. Information and Communication Technologies. 216+xxiii. Abstract
Fonseca, E., Plakal M., Ellis D. P. W., Font F., Favory X., & Serra X. (2019).  Learning Sound Event Classifiers from Web Audio with Noisy Labels. International Conference on Acoustics, Speech and Signal Processing (ICASSP). Abstract
Bogdanov, D., Won M., Tovstogan P., Porter A., & Serra X. (2019).  The MTG-Jamendo Dataset for Automatic Music Tagging. Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019). Abstract
Porcaro, L., & Gómez E. (2019).  A Model for Evaluating Popularity and Semantic Information Variations in Radio Listening Sessions. 1st Workshop on the Impact of Recommender Systems (ImpactRS), at the 13th ACM Conference on Recommender Systems (RecSys 2019). Abstract
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