| Essentia: An audio analysis library for music information retrieval. D Bogdanov, N Wack, E Gómez, S Gulati, P Herrera, O Mayor, G Roma, ... ISMIR 13, 493-498, 2013 | 624 | 2013 |
| Freesound Datasets: A Platform for the Creation of Open Audio Datasets. E Fonseca, J Pons, X Favory, F Font, D Bogdanov, A Ferraro, S Oramas, ... ISMIR, 486-493, 2017 | 291 | 2017 |
| Music recommender systems M Schedl, P Knees, B McFee, D Bogdanov, M Kaminskas Recommender systems handbook, 453-492, 2015 | 215 | 2015 |
| The mtg-jamendo dataset for automatic music tagging D Bogdanov, M Won, P Tovstogan, A Porter, X Serra Machine learning for music discovery workshop, international conference on …, 2019 | 214 | 2019 |
| Semantic audio content-based music recommendation and visualization based on user preference examples D Bogdanov, M Haro, F Fuhrmann, A Xambó, E Gómez, P Herrera Information Processing & Management 49 (1), 13-33, 2013 | 180 | 2013 |
| Evaluation of cnn-based automatic music tagging models M Won, A Ferraro, D Bogdanov, X Serra arXiv preprint arXiv:2006.00751, 2020 | 122 | 2020 |
| Essentia: an open-source library for sound and music analysis D Bogdanov, N Wack, E Gómez, S Gulati, P Herrera, O Mayor, G Roma, ... Proceedings of the 21st ACM international conference on Multimedia, 855-858, 2013 | 122 | 2013 |
| Unifying low-level and high-level music similarity measures D Bogdanov, J Serrà, N Wack, P Herrera, X Serra IEEE Transactions on Multimedia 13 (4), 687-701, 2011 | 108 | 2011 |
| Acousticbrainz: a community platform for gathering music information obtained from audio A Porter, D Bogdanov, R Kaye, R Tsukanov, X Serra International Society for Music Information Retrieval Conference, 2015 | 77 | 2015 |
| How Much Metadata Do We Need in Music Recommendation? A Subjective Evaluation Using Preference Sets. D Bogdanov, P Herrera ISMIR, 97-102, 2011 | 71 | 2011 |
| Music recommendation systems: Techniques, use cases, and challenges M Schedl, P Knees, B McFee, D Bogdanov Recommender systems handbook, 927-971, 2021 | 65 | 2021 |
| Content-based music recommendation based on user preference examples D Bogdanov, M Haro Berois, F Fuhrmann, E Gómez Gutiérrez, H Boyer CEUR Workshop Proceedings, 2010 | 62 | 2010 |
| MediaEval 2019: Emotion and Theme Recognition in Music Using Jamendo. D Bogdanov, A Porter, P Tovstogan, M Won MediaEval 19, 27-30, 2019 | 53 | 2019 |
| Tensorflow audio models in essentia P Alonso-Jiménez, D Bogdanov, J Pons, X Serra ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 47 | 2020 |
| Cross-Collection Evaluation for Music Classification Tasks. D Bogdanov, A Porter, P Herrera, X Serra ISMIR, 379-385, 2016 | 43 | 2016 |
| From low-level to high-level: Comparative study of music similarity measures D Bogdanov, J Serra, N Wack, P Herrera 2009 11th IEEE international symposium on multimedia, 453-458, 2009 | 42 | 2009 |
| The song describer dataset: a corpus of audio captions for music-and-language evaluation I Manco, B Weck, S Doh, M Won, Y Zhang, D Bogdanov, Y Wu, K Chen, ... arXiv preprint arXiv:2311.10057, 2023 | 35 | 2023 |
| Enriched music representations with multiple cross-modal contrastive learning A Ferraro, X Favory, K Drossos, Y Kim, D Bogdanov IEEE Signal Processing Letters 28, 733-737, 2021 | 34 | 2021 |
| The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. D Bogdanov, A Porter, H Schreiber, J Urbano, S Oramas ISMIR, 360-367, 2019 | 33 | 2019 |
| Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. E Fonseca, R Gong, D Bogdanov, O Slizovskaia, E Gomez, X Serra DCASE, 37-41, 2017 | 31 | 2017 |
Xavier SerraDepartment of Information and Communication Technologies, Universitat Pompeu Fabra (UPF), BarcelonaEmail yang diverifikasi di upf.edu
