Biblio

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A
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
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
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
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
Alonso-Jiménez, P., Joglar-Ongay L., Serra X., & Bogdanov D. (2019).  Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution. AES 146th Convention. Abstract
application/pdf iconPoster_Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution.pdf
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
C
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., 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. 9th International Workshop on Content-based Multimedia Indexing. Abstract
application/pdf iconBogdanov-et-al-CBMI2011.pdf
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., 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
E
Bogdanov, D., Wack N., Gómez E., Gulati S., Herrera P., Mayor O., et al. (2013).  ESSENTIA: an Audio Analysis Library for Music Information Retrieval. International Society for Music Information Retrieval Conference (ISMIR'13). 493-498. Abstract
Bogdanov, D., Wack N., Gómez E., Gulati S., Herrera P., Mayor O., et al. (2014).  ESSENTIA: an open source library for audio analysis. ACM SIGMM Records. 6(1),  Abstract
Bogdanov, D., Wack N., Gómez E., Gulati S., Herrera P., Mayor O., et al. (2013).  ESSENTIA: an Open-Source Library for Sound and Music Analysis. ACM International Conference on Multimedia (MM'13). 855-858. Abstract
application/pdf iconessentia_acmmm13.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
Bogdanov, D., Serrà J., Wack N., & Herrera P. (2009).  From Low-level to High-level: Comparative Study of Music Similarity Measures. IEEE International Symposium on Multimedia. Workshop on Advances in Music Information Research (AdMIRe). 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.
H
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., Serrà J., Wack N., & Herrera P. (2010).  Hybrid Music Similarity Measure. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
application/pdf iconMIREX2010-sim.pdf
Bogdanov, D., Serrà J., Wack N., & Herrera P. (2009).  Hybrid Similarity Measures For Music Recommendation. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract. Abstract
M
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
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
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., 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
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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