Biblio

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2015
Bogdanov, D., Porter A., & Serra X. (2015).  Taming wild horses with Essentia Music Extractor. International Society for Music Information Retrieval Conference (ISMIR 2015). Late Breaking Demo. Abstract
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Porter, A., Bogdanov D., Kaye R., Tsukanov R., & Serra X. (2015).  AcousticBrainz: a community platform for gathering music information obtained from audio. 16th International Society for Music Information Retrieval Conference (ISMIR 2015). 786-792. Abstract
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Şentürk, S., Ferraro A., Porter A., & Serra X. (2015).  A Tool for The Analysis and Discovery of Ottoman-Turkish Makam Music. (Müller, Meinard, Wiering, Frans, Ed.).Extended abstracts for the Late Breaking Demo Session of the 16th International Society for Music Information Retrieval (ISMIR) Conference. Abstract
2016
Porter, A., Bogdanov D., & Serra X. (2016).  Mining metadata from the web for AcousticBrainz. 3rd International Digital Libraries for Musicology workshop. 53-56. Abstract
Bogdanov, D., Porter A., Herrera P., & Serra X. (2016).  Cross-collection evaluation for music classification tasks. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). Abstract
2017
Bogdanov, D., Porter A., Urbano J., & Schreiber H. (2017).  The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2017 Workshop. Abstract
Fonseca, E., Pons J., Favory X., Font F., Bogdanov D., Ferraro A., et al. (2017).  Freesound Datasets: A Platform for the Creation of Open Audio Datasets. 18th International Society for Music Information Retrieval Conference. Abstract
2018
Oramas, S., Bogdanov D., & Porter A. (2018).  MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets. MediaEval 2018 Workshop.
Bogdanov, D., Porter A., Urbano J., & Schreiber H. (2018).  The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2018 Workshop. Abstract
2019
Bogdanov, D., Porter A., Schreiber H., Urbano J., & Oramas S. (2019).  The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. 20th International Society for Music Information Retrieval Conference (ISMIR 2019). Abstract
Weigl, D. M., Goebl W., Crawford T., Gkiokas A., Gutierrez N. F., Porter A., et al. (2019).  Interweaving and Enriching Digital Music Collections for Scholarship, Performance, and Enjoyment. 6th International Conference on Digital Libraries for Musicology. 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
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