Biblio

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Y
Yang, Y., Bogdanov D., Herrera P., & Sordo M. (2012).  Music Retagging Using Label Propagation and Robust Principal Component Analysis. 21st International World Wide Web Conference (WWW 2012): 4th International Workshop on Advances in Music Information Research (AdMIRe 2012). Abstract
application/pdf iconwk6p11-yang.pdf
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Wack, N., Guaus E., Laurier C., Meyers O., Marxer R., Bogdanov D., et al. (2009).  Music type groupers (MTG): generic music classification algorithms. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
Wack, N., Laurier C., Meyers O., Marxer R., Bogdanov D., Serrà J., et al. (2010).  Music classification using high-level models. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
application/pdf iconWLB1.pdf
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Urbano, J., Bogdanov D., Herrera P., Gómez E., & Serra X. (2014).  What is the Effect of Audio Quality on the Robustness of MFCCs and Chroma Features?. 15th International Society for Music Information Retrieval Conference. 573-578. Abstract
application/pdf icon025-what-effect-audio-quality-robustness-mfcc-chroma-features.pdf
S
Sordo, M., Celma Ò., & Bogdanov D. (2011).  Audio Tag Classification using Weighted-Vote Nearest Neighbor Classification. Abstract
application/pdf iconmirex2011_abstract.pdf
application/pdf iconmirex2011_audio_tag_poster.pdf
Schedl, M., Knees P., McFee B., Bogdanov D., & Kaminskas M. (2015).  Music Recommender Systems. Recommender Systems Handbook. 453-492. Abstract
P
Porter, A., Bogdanov D., & Serra X. (2016).  Mining metadata from the web for AcousticBrainz. 3rd International Digital Libraries for Musicology workshop. 53-56. Abstract
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
application/pdf iconpostprint version
O
Oramas, S., Bogdanov D., & Porter A. (2018).  MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets. MediaEval 2018 Workshop.
H
Haro, G. G., Xambó A., Fuhrmann F., Bogdanov D., Gómez E., & Herrera P. (2010).  The Musical Avatar - A visualization of musical preferences by means of audio content description. 5th Audio Mostly Conference: A Conference on Interaction with Sound. Abstract
application/pdf iconavatar_AM2010.pdf
Haro, G. G., Xambó A., Fuhrmann F., Bogdanov D., Gómez E., & Herrera P. (2010).  User Evaluation Questionnaire for The Musical Avatar Project. Abstract
application/pdf iconAvatar_User_Evaluation.pdf
F
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
Fonseca, E., Gong R., Bogdanov D., Slizovskaia O., Gomez E., & Serra X. (2017).  Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks. Workshop on Detection and Classification of Acoustic Scenes and Events. Abstract
Ferraro, A., Bogdanov D., Choi K., & Serra X. (2018).  Using offline metrics and user behavior analysis to combine multiple systems for music recommendation. RecSys 2018 Workshop on Offline Evaluation of Recommender Systems. Abstract
Ferraro, A., Bogdanov D., & Serra X. (2019).  Skip prediction using boosting trees based on acoustic features of tracks in sessions. WSDM Cup Workshop 2019. Abstract
Ferraro, A., Bogdanov D., Yoon J., Kim K. S., & Serra X. (2018).  Automatic playlist continuation using a hybrid recommender system combining features from text and audio. Workshop on the RecSys Challenge 2018. Abstract
B
Bogdanov, D., Haro G. G., Fuhrmann F., Xambó A., Gómez E., & Herrera P. (2011).  A Content-based System for Music Recommendation and Visualization of User Preferences Working on Semantic Notions. Abstract
application/pdf iconCBMI2011_poster.pdf
Bogdanov, D., Haro G. G., Fuhrmann F., Gómez E., & Herrera P. (2010).  Content-based music recommendation based on user preference examples. The 4th ACM Conference on Recommender Systems. Workshop on Music Recommendation and Discovery (Womrad 2010). Abstract
application/pdf iconrec-paper.pdf
application/pdf iconBogdanov-et-al-Womrad2010.pdf
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
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
Bogdanov, D., Serrà J., Wack N., & Herrera P. (2009).  Hybrid Similarity Measures For Music Recommendation. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
Bogdanov, D. (2013).  From music similarity to music recommendation: Computational approaches based on audio features and metadata. Department of Information and Communication Technologies. 227.
Bogdanov, D., & Herrera P. (2012).  Taking Advantage of Editorial Metadata to Recommend Music. 9th International Symposium on Computer Music Modeling and Retrieval (CMMR). 618-632. Abstract
application/pdf icondbogdanov_pherrera_CMMR2012.pdf
Bogdanov, D., & Herrera P. (2011).  How much metadata do we need in music recommendation? A subjective evaluation using preference sets. International Society for Music Information Retrieval Conference (ISMIR). Abstract
application/pdf icondbogdanov_pherrera_ISMIR2011.pdf
Bogdanov, D., & Serra X. (2017).  Quantifying music trends and facts using editorial metadata from the Discogs database. 18th International Society for Music Information Retrieval Conference (ISMIR 2017). 89-95. Abstract
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