Biblio
Filters: Author is Dmitry Bogdanov [Clear All Filters]
Music Recommender Systems.
Recommender Systems Handbook. 453-492. Abstract
(2015).
Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks.
Workshop on Detection and Classification of Acoustic Scenes and Events. Abstract
(2017).
The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale.
20th International Society for Music Information Retrieval Conference (ISMIR 2019). Abstract
(2019).
AcousticBrainz: a community platform for gathering music information obtained from audio.
16th International Society for Music Information Retrieval Conference (ISMIR 2015). 786-792. Abstract
(2015).
(2019).
Automatic playlist continuation using a hybrid recommender system combining features from text and audio.
Workshop on the RecSys Challenge 2018. Abstract
(2018).
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
(2010).
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
(2011).
Cross-collection evaluation for music classification tasks.
17th International Society for Music Information Retrieval Conference (ISMIR 2016). Abstract
(2016).
ESSENTIA: an Audio Analysis Library for Music Information Retrieval.
International Society for Music Information Retrieval Conference (ISMIR'13). 493-498. Abstract
(2013).
ESSENTIA: an Open-Source Library for Sound and Music Analysis.
ACM International Conference on Multimedia (MM'13). 855-858. Abstract
(2013).
Freesound Datasets: A Platform for the Creation of Open Audio Datasets.
18th International Society for Music Information Retrieval Conference. Abstract
(2017).
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
(2009).
How much metadata do we need in music recommendation? A subjective evaluation using preference sets.
International Society for Music Information Retrieval Conference (ISMIR). Abstract
(2011).
(2017).
MediaEval 2018 AcousticBrainz Genre Task: A baseline combining deep feature embeddings across datasets.
MediaEval 2018 Workshop.
(2018).
(2018).
Mining metadata from the web for AcousticBrainz.
3rd International Digital Libraries for Musicology workshop. 53-56. Abstract
(2016).
The MTG-Jamendo Dataset for Automatic Music Tagging.
Machine Learning for Music Discovery Workshop, International Conference on Machine Learning (ICML 2019). Abstract
(2019).
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
(2012).
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
(2010).
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
(2017).
Skip prediction using boosting trees based on acoustic features of tracks in sessions.
WSDM Cup Workshop 2019. Abstract
(2019).
Taking Advantage of Editorial Metadata to Recommend Music.
9th International Symposium on Computer Music Modeling and Retrieval (CMMR). 618-632. Abstract
(2012).
Taming wild horses with Essentia Music Extractor.
International Society for Music Information Retrieval Conference (ISMIR 2015). Late Breaking Demo. Abstract
(2015).