Biblio

Export 36 results:
Sort by: [ Author (Asc)] Title 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 
A
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
B
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., 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.
application/pdf icondbogdanov_phd_thesis_2013.pdf
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
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., 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., 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., 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., 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
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
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
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., 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
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., 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
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
F
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
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
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
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