Dmitry Bogdanov
Orcid: 0000-0002-9469-0633
According to our database1,
Dmitry Bogdanov
authored at least 57 papers
between 2009 and 2025.
Collaborative distances:
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Timeline
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Online presence:
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on orcid.org
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on github.com
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Bibliography
2025
Benchmarking Music Autotagging with MGPHot Expert Annotations vs. Generic Tag Datasets.
CoRR, September, 2025
OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction.
CoRR, July, 2025
Enhancing Neural Audio Fingerprint Robustness to Audio Degradation for Music Identification.
CoRR, June, 2025
Supervised contrastive learning from weakly-labeled audio segments for musical version matching.
CoRR, February, 2025
2024
Discogs-VI: A musical version identification dataset based on public editorial metadata.
Dataset, November, 2024
Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024
Discogs-VI: A Musical Version Identification Dataset Based on Public Editorial Metadata.
Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024
Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 21st International Conference on Content-Based Multimedia Indexing, 2024
2023
mir_ref: A Representation Evaluation Framework for Music Information Retrieval Tasks.
CoRR, 2023
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation.
CoRR, 2023
Efficient Supervised Training of Audio Transformers for Music Representation Learning.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023
Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Proceedings of the Recommender Systems Handbook, 2022
MusAV: A dataset of relative arousal-valence annotations for validation of audio models.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Trans. Int. Soc. Music. Inf. Retr., 2021
IEEE Signal Process. Lett., 2021
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021
Melon Playlist Dataset: A Public Dataset for Audio-Based Playlist Generation and Music Tagging.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
Artist and style exposure bias in collaborative filtering based music recommendations.
CoRR, 2019
Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution.
CoRR, 2019
Skip prediction using boosting trees based on acoustic features of tracks in sessions.
CoRR, 2019
Using offline metrics and user behavior analysis to combine multiple systems for music recommendation.
CoRR, 2019
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019
The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
2018
Automatic playlist continuation using a hybrid recommender system combining features from text and audio.
Proceedings of the ACM Recommender Systems Challenge, 2018
MediaEval 2018 AcousticBrainz Genre Task: A Baseline Combining Deep Feature Embeddings Across Datasets.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018
The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018
2017
The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017
Quantifying Music Trends and Facts Using Editorial Metadata from the Discogs Database.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017
Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017
2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Proceedings of the 3rd International workshop on Digital Libraries for Musicology, 2016
2015
AcousticBrainz: A Community Platform for Gathering Music Information Obtained from Audio.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015
2014
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014
2013
From music similarity to music recommendation : computational approaches based on audio features and metadata.
PhD thesis, 2013
Semantic audio content-based music recommendation and visualization based on user preference examples.
Inf. Process. Manag., 2013
Proceedings of the ACM Multimedia Conference, 2013
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013
2012
Proceedings of the 21st World Wide Web Conference, 2012
2011
IEEE Trans. Multim., 2011
How Much Metadata Do We Need in Music Recommendation? A Subjective Evaluation Using Preference Sets.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011
A content-based system for music recommendation and visualization of user preferences working on semantic notions.
Proceedings of the 9th International Workshop on Content-Based Multimedia Indexing, 2011
2010
The <i>Musical Avatar</i>: a visualization of musical preferences by means of audio content description.
Proceedings of the AM '10, 2010
2009
Proceedings of the 11th IEEE International Symposium on Multimedia, 2009