Biblio

Export 38 results:
Sort by: Author [ Title (Desc)] Type Year
Filters: Author is Dmitry Bogdanov  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
W
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
U
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
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
Bogdanov, D., Serrà J., Wack N., Herrera P., & Serra X. (2011).  Unifying Low-level and High-level Music Similarity Measures. IEEE Transactions on Multimedia. 13(4), 687-701 . Abstract
T
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
application/pdf iconpostprint version
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
S
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
Bogdanov, D., Haro G. G., Fuhrmann F., Xambó A., Gómez E., & Herrera P. (2013).  Semantic audio content-based music recommendation and visualization based on user preference examples. Information Processing & Management. 49(1), 13-33. Abstract
application/pdf iconbogdanov-IPM2013.pdf
Q
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
M
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
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
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
Schedl, M., Knees P., McFee B., Bogdanov D., & Kaminskas M. (2015).  Music Recommender Systems. Recommender Systems Handbook. 453-492. 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
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
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., Urbano J., & Schreiber H. (2018).  The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2018 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. (2017).  The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2017 Workshop. Abstract
H
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., 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., & 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
F
Bogdanov, D. (2013).  From music similarity to music recommendation: Computational approaches based on audio features and metadata. Department of Information and Communication Technologies. 227.
application/pdf icondbogdanov_phd_thesis_2013.pdf
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
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
intranet